Remote 📊 Analytics Jobs

Join a constantly growing team that work on projects for clients in many industries, including a global leader in pharmaceuticals industry, automotive, banking, insurance or the public sector.

You will work in an international, innovative and engaging environment. You will be part of a highly motivated, dynamic and fun-loving team who is never afraid of taking on new challenges.

We are looking for a System Analyst with experience in the financial industry to join our Competence Center.

Requirements:

• At least 5 years of experience;
• Experience (minimum 3 years) in independently conducting system analysis;
• Practical knowledge of application interfacing and integration methods, data flow, interface and integration characteristics, and connections (REST API, WebServices, SOAP, network connections, including file exchange);
• Practical knowledge of message transmission methods (via brokers): Kafka, SOA/IBM (MQRabbit);
• Practical knowledge of creating diagrams (documentation) for use in creating requirements for the Development Team (solution description, functional scope, connections and integration at the interface with other areas, etc.);
• Basic knowledge of programming languages, preferably JAVA (level enabling code review and identification of gaps, or understanding developer needs);
• Knowledge of microservices and cloud-ready solutions;
• General knowledge of infrastructure elements, mainly from the database level (Oracle, PostgreSQL, others), including the ability to retrieve data, e.g., through SQL queries or other techniques;
• Knowledge of the operation of banking IT systems or related financial systems (payment systems preferred);
• Knowledge of data models and relational databases is desirable; Experience in working with POs, Infrastructure and Architecture Specialists, EQ/MQ/SOA;
• Automated testers (knowledge of tools supporting testing). English language proficiency at a minimum B2 level.

Must have:

• Understanding of the business context, including the pursuit of requirement refinement to define the system part;
• Good organization of own work;
• Independence and proactivity in action;
• Problem-solving skills;
• Analytical thinking skills;
• Communication and teamwork skills.

Nice to have:

• Programming experience;
• Experience in projects conducted in Scrum;
• Experience with AVRO technology;
• Experience with payment reports, payment settlements, or related areas;
• Knowledge of ISO standards in the context of payments, especially MX/ISO 20022 – the new payment standard.

System analysis:

• Further decomposition of requirements and in-depth system analysis based on input received from the business (from business analyst/SME);
• Gathering and analyzing system requirements;
• Preparing system analysis, description of solutions and payment processes and related payment processes (e.g. dictionaries, currency conversion), based on business requirements;
• Analyzing and utilizing existing systems, components, to obtain necessary information for creating products, processes, systems;
• Mapping processes, connections and data necessary for functional and system solutions;
• Supporting analytical work carried out by suppliers and bank units in order to prepare functional specifications and technical designs of IT systems, including independent preparation of analytical documentation in accordance with bank requirements.

Solution design:

• Participation in the design of software, processes and systems through analytical input;
• Supporting the Development Team by jointly developing input/descriptions for functional solutions;
• Performing parameterization and preparing instructions for environments;
• Supporting processes that ensure software quality;

Benefits:

• Permanent full-time contract adjusted to your preferences.
• Ability to work entirely remotely or in one of our cool offices around Poland.
• International project environment – challenging and rewarding projects.
• Access to private medical services, life insurance, and multisport card.
• Access to training and certificate courses (including free access to the Udemy training platform.
• Cafeteria Benefits System – vouchers for purchases and services.

RoboMarkets was established in 2012 and received a license of a European broker in 2013. RoboMarkets is regulated by the CySEC, license No. 191/13.

RoboMarkets is a multi-asset broker offering 7 asset types and more than 12,000 instruments for trading. Our company has grown rapidly in the past years and now provides professional services for institutional and retail clients from Europe.  

We are looking for a System Analyst in Limassol, Cyprus.

We expect our future colleague to have an impactful approach, a constant curiosity about business needs, and sound logic in making decisions. We guarantee interesting but challenging tasks. :)‍

Responsibilities:

• Gathering and analyzing business requirements and transforming them into technical specifications
• Creating technical specifications for software modifications and integration with related systems
• Collaborating with stakeholders, developers, designers, QA engineers, customers to implement solutions
• Managing requirement changes throughout the system lifecycle
• Conducting analysis of current systems and proposing improvements
• Maintaining the knowledge base and other documentation.
  

Requirements:

• Understanding of the software development lifecycle & collaboration with software developers
• Experience in business process description using UML
• Experience with SQL and database design
• Participating in web and mobile development projects
• Experience in designing integration between systems (REST API, message brokers/data buses)
• Basic knowledge of UX/UI and experience in creating mock-ups
• Skills in testing and validating systems to ensure they meet requirements
• Experience with JIRA and Confluence
• Fluent in Russian, intermediate in English
• Good communication skills
• Ability to work in a team, collaborate, and support other team members
• Analytical mindset and systems thinking
• Willingness to quickly adapt to changes and new requirements
  

We offer:

• Attractive monthly salary paid in line with your skills and experience
  
• A comfortable office in the center of Limassol (Cyprus)
• Medical insurance for our employees and their families
• Access to professional training, conferences, and paid educational courses
• Corporate language courses
• Evening yoga classes in office relaxation space
• Subsidized lunches
• Different corporate events for employees and their children
• Sports events
• Assistance in relocation and visa processing (if necessary)

We’re adding a Staff Data Scientist to our team to help inform the future of Webflow with data by building a deep understanding of how our customers create for the web with our product. You’ll partner directly with key product stakeholders to identify interesting business questions and provide the data and quantitative analysis to answer them, leading the development of KPIs and helping teams understand how to improve our user experience.

About the role:

• Remote-first (United States; BC & ON, Canada)
• Full-time
• Permanent
• Exempt
• The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills.
  
  • United States  (all figures cited below are in USD and pertain to workers in the United States)
    
    • Zone A: $175,000 - $247,000
    • Zone B: $164,000 - $232,000
    • Zone C: $154,000 - $217,000
  • Canada  (all figures cited below are in CAD and pertain to workers in the Canada)
    • Zone A: $199,000 - $281,000

This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals.

Please visit our Careers page for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

• Reporting to the Director, Data Science.

As a Staff Data Scientist you’ll:

• Lead high-impact projects to drive insights and decision-making across Webflow’s most critical initiatives.
• Define and evolve product and business metrics in collaboration with cross-functional teams to measure user experience and product performance
• Advance our experimentation capabilities, guiding design, statistical analysis, and interpretation of A/B tests, and championing a rigorous, iterative approach to product development.
• Uncover growth opportunities through exploratory data analyses, customer segmentation, and predictive modeling that surface actionable insights across the customer journey.
• Lead technical and non-technical team members with processes and technical expertise for executing experiments, answering open ended business questions with data, and researching levers for improving our product
• Partner with stakeholders in Product, Engineering, Design, Marketing, and User Research to blend qualitative and quantitative insights, informing product direction and enhancing user experience.
• Develop our data foundation collaborating on our strategic roadmap for building new pipelines and tools that contribute to our connected, complete understanding of our customer journey and improve our customer experience.

In addition to the responsibilities outlined above, at Webflow we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role.

About you:

You’ll thrive as a Staff Data Scientist if you:

• Have 5+ years of experience in a Data Science (or similar) position
• Have interest and experience in mentoring and developing the technical skills of your team members, helping to build a collaborative data science practice
• Have demonstrated experience working as a Data Scientist (or the equivalent in quantitative analysis), contributing to the strategic roadmap, providing high quality, reproducible analysis that impacts company strategy and decision making, building tools to enable scalable processes and enabling others to do the same
• Have expertise in applied statistics (e.g. predictive modeling, hypothesis testing, regressions), segmentation and experimentation (e.g. A/B testing) in an industry setting and the ability to explain concepts to technical and non-technical team members
• Have proficiency in SQL, and experience with a programming language like Python or R
• Curious about diving into the nuances of our business and product data
• Thrive collaborating with product teams in a fast-paced and sometimes ambiguous environment, solving complex and nuanced problems
• Engage both technical and nontechnical audiences with clear and compelling communication
• Stay curious and open to growth — actively building fluency in emerging technologies like AI to unlock creativity, accelerate progress, and amplify impact.

Our Core Behaviors:

• Build lasting customer trust. We build trust by taking action that puts customer trust first.
• Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
• Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
• Deliver with speed, quality, and craft. We move fast because the moment demands it, and we do so without lowering the bar.

Benefits & wellness

• Equity ownership (RSUs) in a growing, privately-owned company
• 100% employer-paid healthcare, vision, and dental insurance coverage for full-time employees (working 30+ hours per week) and their dependents. Full-time employees may also be eligible for voluntary insurance options where applicable in the respective country of employment
• 12 weeks of paid parental leave for both birthing and non-birthing caregivers, as well as an additional 6-8 weeks of pregnancy disability leave for birthing parents to be used before child bonding leave (note: where local requirements are more generous, employees receive the greater benefit); full-time employees also have access to family planning care and reimbursement
• Flexible PTO for all locations and sabbatical program
• Access to mental wellness and professional coaching, therapy, and Employee Assistance Program
• Monthly stipends to support work and wellness
• 401k plan or pension schemes (in countries where statutorily required), and other financial wellness benefits, like CPA and financial advisor coverage

We’re looking for a Business Intelligence Analyst to join our growing team!

About The Role:

We’re seeking a data-driven Business Intelligence Analyst to turn blockchain and product data into clear, actionable insights that drive growth, retention, and risk controls across our crypto-enabled iGaming products. You’ll own the end-to-end analytics stack for wallet funnels, wagering behavior, lifecycle marketing, and compliance—using SQL, dbt, Python, Amplitude, and Tableau as your primary tools.

Key Responsibilities:

• Design, build, and iterate on Tableau dashboards that surface core KPIs (GGR/NGR, ARPU, LTV, churn, deposit→wager conversion, fraud loss rate).
• Write production-grade SQL (CTEs, window functions, incremental models) to model clean datasets from ClickHouse and on-chain tables.
• Use Python (pandas, seaborn, scikit-learn, SciPy) for analysis, data quality checks, lightweight ETL/backfills, API integrations (e.g., blockchain providers), and automation.
• Work with on-chain data: parse EVM logs and token transfers (ERC-20/721), join labeled-address datasets, analyze exchange/bridge flows, gas/fee dynamics, and wallet clustering.
• Own crypto wallet analytics across the funnel (custodial vs. non-custodial, deposits/withdrawals, conversion to first deposit).
• Partner with Product, Marketing/CRM, Risk/Compliance, and Engineering to define event schemas and tracking plans; ensure data quality, lineage, and documentation.
• Design and analyze experiments (A/B and holdouts), cohorts, and attribution within iGaming and regional compliance constraints.
• Investigate anomalies (bonus abuse, bot usage, arbitrage, suspicious wallet rings) and recommend mitigations.
• Automate recurring reporting and alerting for KPI movements.
  

Qualifications:

• Experience: Minimum 2 years in Business Intelligence or Data Analytics; prior exposure to crypto or iGaming strongly preferred.
• Ownership & Impact: Demonstrated ability to build robust analytics infrastructure and scalable self-serve data products.
• SQL: Advanced proficiency with complex joins, window functions, performance optimization, and dimensional data modeling.
• Tableau: Expert use of LOD expressions, parameters, actions, data modeling, extract vs. live strategies, and dashboard performance tuning.
• dbt: Hands-on experience with environments, sources/exposures, testing, documentation, and CI/CD integration.
• Python: Proficient in analytics and data engineering (e.g., pandas); capable of writing modular, maintainable code, integrating with APIs, and scheduling lightweight jobs.
• Crypto Domain: Practical understanding of crypto wallets and transaction flows, including custodial vs. non-custodial models and WalletConnect/MetaMask.
  

Preferred Qualifications:

• Experience with dbt Cloud, data quality tooling (Great Expectations, Monte Carlo), and workflow orchestration (Airflow, Prefect).
• Demonstrated ability to perform on-chain analytics using platforms such as Dune, Flipside, Goldsky, or Nansen, or via self-indexed data; familiarity with contract ABIs and entity/address labeling.
• Hands-on experience with modern data warehouses and object storage, including ClickHouse, AWS, and Amazon S3.
• Working knowledge of data governance and privacy standards (e.g., GDPR), including data minimization and retention policies.
• Strong understanding of iGaming economics and KPIs: deposits, wagers, hold, GGR/NGR, RTP, bonus efficiency, responsible gaming metrics, and common fraud/AML patterns.
• Familiarity with product analytics platforms (Amplitude, Mixpanel, Google Analytics).

You’ll partner with stakeholders across the company, drive dashboard excellence, and shape how we use data tools like Power BI, Metabase and Databricks to empower decision-making at scale

What You Will Be Doing

• Lead the creation of intuitive, impactful dashboards and reporting frameworks
• Collaborate with stakeholders across the company to understand complex problems and design effective data solutions, including defining and developing supporting data models and architecture
• Promote and drive a self-service data culture by building accessible tools, reusable data models, and enabling business users through training and support
• Work closely with data engineers to improve data flows and upgrade datasets for analytics and reporting use cases
• Explore, test, and recommend new visualization tools and BI best practices

Who You Are

• 3+ years of experience in BI or data analytics, with a strong focus on dashboard design and stakeholder enablement
• Expert in modern BI tools (e.g., Power BI, Metabase) and confident with large-scale data models
• Skilled in translating complex requirements into user-friendly data solutions
• Curious and proactive — excited to experiment with new tools and approaches
• Strong SQL skills (we use Databricks, BigQuery); Python for analysis or automation is a plus
• Languages: English (full working proficiency) – must

Hiring Process

• Recruiter Interview - 30 min
• Hiring Manager Interview - 1 hour
• Tech Interview 1.5 hours
• Offer

What You Will Get In Return

Make a genuine impact on the product

Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.

Work in the EU

Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.

Become a stock options holder

Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.

Receive unwavering support and care

Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.

Work & Swim program

Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.

We’re on the hunt for a Game Analyst who can elevate our gaming experiences to new heights.

Responsibilities:

• Form and validate product hypotheses
• Work closely with game designers to find growth areas and improve monetization metrics
• Search for user behavior patterns
• Develop player segmentation for adapting the gameplay to the user experience
• Conduct analysis, prepare reports, and recommendations to implement in the games within the product team
• Develop dashboards for recurring reports
• Plan, conduct, and evaluate the results of A/B tests

Requirements:

• At least 2 years of experience as a product analyst in gaming or B2C projects
• Experience working with product parameters and metrics
• Knowledge of SQL and Python
• Experience with data visualization tools such as Redash, Looker, PowerBI, etc.

We offer:

• Opportunity to work for ZiMAD, a US company with a diverse portfolio of global free-to-play (F2P) projects with a multi-million monthly user base
• Involvement in the entire product development cycle
• Career growth prospects within an international company
• Remote work opportunities
• Flexible working schedule
• Bonuses based on the achievement of KPIs and financial results of projects
• Paid conferences, training (including language courses), and workshops
• Opportunity to have sessions with psychologists to improve your mental health and well-being
• Participation in charity projects

We’re looking for a strong and independent Senior Product Analyst for the Prequel app to help us take analytics to the next level. Our team is a key partner for all product departments. We’re responsible for data-driven decision-making and strive for maximum efficiency and proactiveness.

Responsibilities

• Content analytics: Develop a system of clear and interpretable metrics to help teams evaluate their work and identify growth opportunities
• A/B testing optimization: Simplify the process of launching and analyzing tests while maintaining methodological rigor. You’ll train managers and colleagues, helping them dive deeper into the world of A/B testing
• Data monitoring: Set up automated data quality monitoring to detect and resolve issues in a timely manner
• Data architecture development: Build and improve our data marts so analysts and other teams can access the information they need faster and more efficiently
• Unified approach to predictive analytics: Analyze existing scripts, select the best approach, and help establish a unified methodology for predictive analytics
• Documentation systematization: Consolidate and organize scattered data labeling documentation into a single Git-based system
• Growth opportunities: Proactively identify new hypotheses and product growth opportunities without waiting for team requests

What we expect from the candidate:

• 3+ years in product/business analytics
• Strong SQL (window functions, query optimization)
• Python (pandas, numpy, sklearn)
• Experience with mobile apps, subscription model will be a plus
• Experience in defining metrics for product features
• Deep understanding of A/B testing
• BI tools proficiency (we use Tableau)
• Experience with data labeling
• Ability to design data marts for business needs
• Proactive mindset for identifying growth opportunities in product metrics
• Proven track record of completed large-scale analytical projects

Nice to have:

• Knowledge of ML
• Experience with ClickHouse
• Experience with Git
• Background in content-based products

Conditions

• Professional development – paid training and courses, online / offline lectures, workshops and trainings. Our employees take part in all major IT meetups;
• Adaptation – qualitative onboarding, we help to quickly and smoothly solve all problems. regularly collect feedback throughout the trial period;
• Career development – Review is conducted every 6 months, we monitor results and help improve performance;
• Balance between work and personal life – ability to conveniently build your work schedule, take vacations and days off without a bunch of approvals and bureaucracy;
• Health – extended voluntary health insurance (on the territory of Montenegro);
• Office space – a cool office in Montenegro, with comfortable workplaces and lounge areas;
• Relocation – we offer a full package of documents for those who are ready to move to Montenegro, and we help with obtaining a residence permit;
• Prequel+ – premium access to the entire Prequel product.

The Senior Data Analyst role focuses on driving behavioral and product analytics to empower data-driven decisions across the organization. You’ll work closely with cross-functional teams to bridge data gaps, refine analytics strategies, and ensure alignment with business goals. Advanced expertise in SQL, Tableau, and modern data warehouses, along with a strong understanding of SaaS business metrics, is essential for success.

What you'll do

• Take ownership of end-to-end behavioral and product analytics solutions, from requirement gathering to delivery, ensuring insights are closely aligned with business and product needs.
• Drive a deep understanding of product performance and user behavior through innovative analytics approaches.
• Design and develop detailed reports and dashboards that enable data-driven decision-making across the organization, with a focus on actionable insights for product and business teams.
• Actively contribute to making the insights function work effectively by both:
  • Providing proactive insights from data to product teams to influence decision-making.
  • Responding to requests from product teams, delivering timely and actionable data insights.
• Collaborate weekly with stakeholders and cross-functional teams to provide behavioral and product insights that support critical business decisions.
• Act as the primary analytical resource for understanding user behavior, product engagement, and business performance for various departments.
• Work closely with Engineering, Product, and other teams to identify data gaps and define actionable analytics strategies.
• Translate vague business requirements into detailed, actionable tasks for both yourself and the team.
• Ensure the team remains aligned with upcoming feature releases, business objectives, and organizational priorities.
• Share knowledge and best practices to enhance behavioral and product analytics capabilities, raising awareness of potential pitfalls and driving innovation.

What we are looking for

• A bachelor’s degree in Computer Science, Data Analytics, Data Science, Statistics, or a related field.
• 3+ years of experience in data analytics, preferably in a startup environment.
• Advanced proficiency in SQL and Tableau (or similar BI tools); Python is a plus.
• Strong experience in behavioral and product analytics, with an ability to identify trends and opportunities in user behavior and product engagement.
• Familiarity with SaaS business metrics.
• Working knowledge of DBT for data transformation and analytics engineering.
• Hands-on experience with modern data warehouses, such as AWS Redshift.
• Self-driven, motivated, proactive, and adaptable to fast-changing priorities and environments.
• Proven ability to think strategically and solve business problems through data.
• Strong organizational and documentation skills, with exceptional attention to detail.
• Expertise in advanced analytical techniques and statistical methods.
• Excellent communication and presentation skills, with fluency in English.

How to apply

All interested candidates are encouraged to apply through this form.
We highly appreciate all applications, however, only shortlisted candidates will be contacted for the next stages.

As a Data Scientist in our Credit Risk team, you’ll work on improving both application scoring (to enhance onboarding decisions) and behavioral scoring (to increase portfolio profitability). You’ll be responsible for the full modeling cycle: from exploring data and identifying meaningful patterns, to building and validating models, assessing their business impact, writing clear implementation requirements, and monitoring production performance.

The role goes beyond modeling — you’ll collaborate with product managers, analysts, and engineers to understand business context, generate and test hypotheses, and continuously refine our decision-making strategy. We operate in a modern, data-driven environment where models and statistics drive key decisions, and the infrastructure supports fast iteration and deployment.

Each task is evaluated through the lens of business value — there’s no such thing as work “for the drawer.” This is a high-responsibility, high-impact role for someone ready to influence strategy, own results, and gain deep exposure to credit data, user behavior, and market dynamics.

Your Future Responsibilities Await:

• Own the full modeling cycle — from exploring raw data to preparing production-ready specs
• Use metrics like AUC, KS, bad rate, and stability index to validate model quality
• Track how models perform after launch and know when it’s time to retrain or adapt
• Evaluate value through NPV, backtesting, and real-world portfolio performance
• Translate insights into decisions — you’ll help evolve our credit strategy, not just build models
• Contribute ideas that change how we approve, price, and manage credit — our internal tools are flexible and data-driven
• Work closely with product and data to align every model with real business goals
• Step in beyond your scope when needed — we value ownership over rigid roles
• Every task is evaluated through the lens of business value — no "models for the drawer" here

What we expect from candidate:

• 2+ years of hands-on experience in data analytics or data science
• Deep knowledge of statistics, probability, and machine learning algorithms
• Proficiency in Python (pandas, scikit-learn) and SQL for data exploration and modeling
• Experience working specifically with credit scoring models — building or validating models for application or behavioral risk
• Hands-on experience with the full model lifecycle: from data analysis and feature design to deployment and post-production monitoring
• Ability to translate modeling logic into implementation-ready specs
• Prior work with credit products is a strong plus, especially in fintech
• Experience assessing business impact of models (e.g. NPV, backtesting) is a plus
• Exposure to cross-functional collaboration (e.g. with product or engineering teams) is a plus
• Willingness to relocate to our Manila HQ is a strong advantage

What we create

• Modern banking services for millions of Filipinos
• Cutting-edge solutions based on the best world practices and AI implementation
• Licensed neobank aiming to be a unicorn and leading fintech in the fast-growing region of Southeast Asia
• A business capable of raising over $60MM from the ADQ (the sovereign wealth fund of Abu Dhabi), World Bank Group and other investors despite the challenging market
• An environment that allows you to launch new products in 3-4 months
• A basis for expanding into new markets all over the world

What we offer

• Passionate international team spanning the globe
• Rapid professional growth. Merit (and merit only) rules the day
• Reward for performance and long-term success of Salmon
• Fast track to grow internationally
• New office in Manila, Philippines
• Relocation support for eligible candidates
• Remote (from +4 GMT and to +10 GMT) and hybrid options (in Manila).
• Medical insurance, health and wellness benefits
• Program of events and activities both online and in person

We are looking for a System Analyst.

Responsibilities:

• Gather and analyze business requirements for product development
• Prepare technical documentation and task descriptions for the development team
• Participate in solving analytical tasks
• Research the market, competitors, and review regulatory documentation
• Collaborate with development, QA, product, design, and compliance teams

Key competencies:

• 3+ years of experience as a System Analyst
• 1+ year of experience in crypto-related projects (e-wallets, exchanges, or integrations with exchanges, pools)
• Solid understanding of blockchain technology, crypto processing, and the specifics of issuing and using crypto wallets
• Knowledge of business process modeling methodologies and tools, ability to communicate ideas through diagrams
• Experience in describing system integrations
• Knowledge of UML notations
• Ability to write SQL queries
• Ability to independently collect information for tasks/research
• Understanding of client-server architecture principles
• Experience working with Jira / Confluence / Notion
• English proficiency sufficient to read and understand technical documentation
  

Would be a plus:

• Experience with microservices architecture
• Understanding of UX/UI basics
• Knowledge of BPMN notation

We offer:

• Remote work or relocation to Cyprus, relocation assistance to Cyprus
• Compensation for English or Greek classes
• Flexible start of the working day
• Health insurance (only for Cyprus)
• Office lunches (only for Cyprus)

We are a leading fintech startup for cashless tipping in the hospitality and beauty space. We are making the world of tipping fairer, quicker and easier. Our platform helps staff increase their income which in turn helps business owners attract the best talent out there.

We are seeking a skilled Systems Analyst with a strong background in fintech to join our team. In this role, you will support our development team in executing complex integrations with payment processors, CRM platforms, and POS systems. The ideal candidate will have a deep understanding of API architecture, data flows, and system interoperability within the financial technology space.

Key Responsibilities:

• Collaborate with development teams to design, analyze, and implement system integrations with payment processors, CRM platforms, and POS systems.
• Analyze business requirements and translate them into technical specifications.
• Assist in troubleshooting and resolving integration issues.
• Develop and review API documentation and ensure best practices are followed.
• Conduct system testing and validation to ensure seamless operation.
• Stay informed about the latest fintech trends, API standards, and integration techniques.

Qualifications:

• Proven experience as a Systems Analyst, Business Analyst, or similar role, specifically within fintech or payment-related industries.
• Strong understanding of API architecture, RESTful APIs, and web services.
• Experience integrating third-party payment processors, CRM platforms, and POS systems.
• Knowledge of data security, encryption, and compliance standards relevant to financial data.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently in a remote environment.

Preferred Qualifications:

• Familiarity with specific fintech solutions such as Stripe, PayPal, Square, Salesforce, or similar platforms.
• Experience with scripting or programming languages relevant to API integration.
• Knowledge of database management systems and data modelling.
• Languages: Fluent Russian and Advanced English

What We Offer:

• Flexible, remote work environment
• Opportunity to work on innovative fintech solutions
• Collaborative team atmosphere

If you are a detail-oriented, tech-savvy professional with fintech integration experience, we would love to hear from you!

Emerging Travel Group is a global travel-tech company whose brands have been operating in over 220 source markets since 2010. We specialize in developing advanced online booking platforms for all types of clients — from individual tourists to travel agents and companies organizing business trips. Our solutions empower hoteliers to effortlessly showcase their accommodations, boosting visibility and attracting a broader audience.

Our mission is to create, distribute, and operate the most convenient travel products. We constantly innovate and break the rules of the highly complex travel industry to make travel more widely available for individuals, more rewarding for professionals, and simpler for everyone.

We are looking for a Systems Analyst for our Property Card team.

Job responsibilities

• Collaborate with the product team and business stakeholders to define and analyze Functional Requirements (FR) and Non-Functional Requirements (NFR).
• Establish priorities based on technical dependencies and resolve conflicts.
• Decompose complex systems and processes to provide context and assign tasks effectively.
• Manage changes in project requirements: identification, alignment, and documentation.

Key qualifications

• 4+ years of experience in systems analysis;
• Experience with frontend;
• Experience in creating product systems;
• Skills in documenting complex systems and the ability to work with technical specialists, product managers and business stakeholders;
• Ability to immerse yourself in the product and business context and translate it into the technical capabilities of systems;
• Communication skills and the ability to explain complex technical concepts;
• Understanding of the software development life cycle: collecting and analyzing requirements, design, development, testing, implementation, maintenance;
• Spoken English (from B2 and above).

‍Nice to Have:

• Experience with project management and development methodologies such as Agile, Scrum, Kanban
• Experience with SQL.

We offer you

• Flexible schedules and opportunity to work remotely;
• Ambitious and supportive team who love what they do, appreciate each other, and grow together;
• Internal programs for adaptation and training, development of soft skills, and leadership abilities;
• Partial compensation for participating in external training and conferences;
• Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world;
• Corporate prices on hotels and travel services.
• MyTime Day Off - an extra non-working day without loss of compensation.

We’re looking for a Data Analyst to join our B2A team — the team that works with travel agencies and helps them sell hotels, flights, and other travel products. In this role, you’ll be responsible for monitoring business health: tracking key metrics, identifying growth opportunities, preparing regular and ad-hoc reports, and conducting deep-dive analyses.

You’ll work closely with managers to uncover bottlenecks in the sales funnel, build partner cohorts, investigate revenue fluctuations, and support data-driven decision-making. You’ll also collaborate with other analytics teams (product, pricing, marketing) and own some projects independently.

This role is a great fit for someone who enjoys digging into data, solving complex problems, and being close to both product and business. You’ll have the chance to influence key business decisions and work across multiple domains.

Job responsibilities

• Monitor sales and performance in the B2B segment, track key metrics, identify anomalies and growth opportunities;
• Conduct research based on business requests, support data-driven business and commercial decisions. Identify bottlenecks in business processes, propose and test hypotheses for improvement;
• Prepare regular and ad-hoc reports for the business team;
• Collaborate closely with other analytics teams (product, pricing, marketing) to ensure end-to-end analytics and joint project work;
• Independently lead and develop analytical projects.

Examples of projects you’ll work on:

• Booking and revenue analysis: spotting trends and anomalies across partner segments, sales channels, and brands;
• Investigating drops in key metrics: analyzing deviations from forecasts/plans, formulating insights and hypotheses for further testing;
• Cohort analysis of partners: building cohorts based on various event dates, analyzing retention and cohort changes (e.g., how long and consistently partners use the service, what behavioral patterns new partners show), identifying drivers of churn and growth;
• Supporting the business team with hypothesis building and presentations: helping the business and commercial teams formulate and validate hypotheses, and preparing data for stakeholders.

Key qualifications

• 2+ years of experience in data analytics;
• Strong command of SQL: writing complex queries, working with nested subqueries, window functions, and CTEs;
• Experience with BI tools (we use Tableau): ability to create and maintain dashboards and visualize data clearly;
• Basic Python skills (Pandas, NumPy, Matplotlib/Seaborn) for data processing and visualization;
• Solid understanding of statistics and experience with hypothesis testing: from experiment design to results interpretation;
• English at B2 level or higher (confident spoken English for communication with colleagues and partners).

We offer you

• We offer a fully flexible work schedule — there’s no pressure to start work at exactly 9:00 AM; what matters is achieving results and moving forward;
• Each person in our team is encouraged to choose their preferred work format. You can work fully remotely, come to the office, or choose a hybrid work model;
• We are an ambitious and supportive team who love what they do, appreciate each other, and grow together;
• The growth and development of each employee is our priority, so we have internal programs available for adaptation and training, development of soft skills and leadership abilities that are tailored individually to each employee;
• We also provide partial compensation for employees participating in external training and conferences;
• In tourism, it's difficult to grow without an excellent knowledge of English, and we support our employees' language learning goals — we organize group and individual lessons, plus speaking clubs with colleagues from all over the world;
• And, of course, to encourage you to travel more, we offer corporate prices on hotels and other travel services;
• We prioritize well-being and are committed to supporting the overall health and work-life balance at ETG. As part of this commitment, we provide MyTime Day Off — an extra day off that is designed to give our employees the flexibility to focus on important matters, whether it’s taking care of their health, mental recharge, addressing personal issues, or any other important activities.

We’re Tribute - the leading monetization platform on Telegram. Our users earn through donations from their followers, subscriptions to private channels, paid digital content and physical products. 60k+ creators are already actively using Tribute, incl. many well-known names and bloggers with large audiences.

And that number keeps growing every day! We’re looking for a Data Analyst to take ownership of our core reporting and product metrics, design and maintain our event logging schema, data marts, and dashboards, and closely collaborate with development, marketing, and other teams to grow Tribute’s analytics infrastructure and unified reporting framework.

Typical Responsibilities:

• Provide analytical support for product development: design logging, build reporting, and participate in shaping product decisions.
• Develop and maintain key reporting: gather requirements, align metric definitions, visualize in clear dashboards, ensure regular updates and a unified view of product performance.
• Design and run A/B experiments: define hypotheses, choose metrics, launch tests, and analyze results.
• Build and maintain marketing reports: CAC, LTV, ROMI across acquisition channels (cohorts, attribution).
• Improve self-service analytics tools for teams, including our AI-powered analytics assistant.

Requirements:

• Strong SQL skills (complex queries, building data marts).
• Proficiency in Python for applied analysis and automation.
• Solid understanding of mathematics and statistics applied to real-world problems.
• Ability to create clear and insightful data visualizations (Superset, Grafana, or similar BI tools).
• Excellent communication skills — able to present results clearly, explain complex ideas simply, and align with stakeholders.
• Proven ability to take a problem from identification to fully implemented solution.
• Comfort and proficiency in using AI copilots to work faster and smarter.

Nice to have:

• Hands-on experience running A/B tests.
• Background in marketing analytics — CAC, LTV, ROMI, full acquisition funnel, attribution.
• Experience automating processes, including via AI-powered agents.

Why it is a fantastic opportunity:

• Our business is growing at an exponential scale.
• Non-bureaucratic management that focuses on results.
• Regular performance reviews to assess your progress.
• Remote setup with access to our hubs in Dubai, Yerevan, London and Belgrade.
• Compensation for medical expenses.
• Provision of necessary equipment.
• 20 working days of paid vacation annually.
• 14 days of paid sick leave to support your health and recovery when needed.
• Access to internal conferences, English courses and corporate events.

Welcome to HomeBuddy, where making a home awesome is like seeing a vision come to life! We are on a mission to create a friendly and trusted platform to connect homeowners with the right contractors across the US.

What started as a small idea has become a fast-growing home improvement platform focusing on lead quality and long-term partnerships based on trust and mutual success. We are a product-first company with a long-term outlook - our platform consistently and positively evolves based on data insights and the most up-to-date tools.

This job is for you if

• You would like to work in a positive atmosphere where teamwork and trust in your colleagues are primary values.
• You succeed in an environment that values initiative and sharing feedback and where your suggestions and efforts are recognized and appreciated.
• You are used to taking responsibility for solving difficult tasks and are directly involved in how your efforts impact the final result.
  

This role is full-time and offers home working flexibility.

Your future tasks will include

• Developing and implementing machine learning models to refine lead scoring, identify customer segments, maximize conversions, optimize advertising bids, and prevent churn.
• Utilize geospatial and socioeconomic data to build predictive models that identify high-value audiences, leaving the competition in our dust.
• Design and implement pricing & distribution optimization algorithms that maximize lead conversion rates and minimize customer acquisition costs, ensuring we're always in the black.
• Collaborate seamlessly with marketing, sales, and product teams, translating data-driven insights into actionable campaigns.
• Present data findings with clarity, conciseness, and a dash of statistical humor, leaving stakeholders nodding in agreement.

You’re going to need this to be successful in this role

• Master's Degree or PhD in Data Science, Computer Science, Mathematics, Physics, Statistics, Econometrics, Quantitative Methods or a Related Field
• 5+ years of experience in the data domain with +2 in data science roles.
• Expertise in SQL, Python, and Machine Learning frameworks (especially supervised and unsupervised learning algorithms).
• Proven experience deploying machine learning models to production environments using tools and frameworks like ML Flow & AWS Sagemaker, ensuring our models are always ready for prime time.
• Exceptional analytical and problem-solving skills with a keen eye for detail.
• Impeccable communication and presentation skills, capable of translating data insights into actionable business strategies that drive revenue growth without losing the audience in a sea of jargon.
• A demonstrated ability to work independently and as part of a cross-functional team, ensuring we're always scoring the highest in teamwork.
• Strong business acumen and the ability to translate data insights into actionable business strategies that drive revenue growth, making us a data-driven powerhouse.
• Fluent English

It’s nice if you also have

• Up-to-date with the latest data science techniques, whitepapers, and best practices.
• We value working on Kaggle projects, so if you have a passion for machine learning and are an active Kaggle contributor, please highlight this in your application.

Why choose HomeBuddy

• Enjoy the freedom to work from anywhere without being tied to one place - while ensuring you are available to our team during the agreed working hours.
• Achieve a harmonious work-life balance with a flexible schedule tailored to your local needs, along with paid vacation, sick leave, and local holidays.
• Empower yourself with work equipment of your choice partially paid for by HomeBuddy and up-to-date apps and tools to maximize your productivity.
• Feel valued and appreciated with an industry-leading compensation package.
• Get recognized and rewarded for both outstanding individual efforts leading to extraordinary results and our team success.
• Enhance your well-being with our allowance program covering fitness activities and mental health programs.
• Learn and expand your knowledge by both working on complex tasks and using paid training opportunities, including courses, events, and conferences.

If this sounds like you, we should talk!

JoomPulse is a data platform that provides analytics and recommendations for marketplace sellers. Its features allow you to review the most profitable products, know the estimated profit of buying directly from the supplier, discover the categories with the greatest growth potential and explore profitable ways to expand your business. JoomPulse helps make e-commerce data easy to understand and efficient for all sellers.  

JoomPulse is one of the key businesses of Joom Group, an international tech-centric group of e-commerce companies that was founded in 2016 in Latvia. Joom Group also includes the following businesses: Joom, a platform for shopping from all over the world; JoomPro, the first end-to-end cross-border B2B marketplace, with successful operations in Brazil and plans to expand to other markets; and Onfy, a pharmaceutical marketplace in Germany. Joom Group has offices in Latvia, China, Germany, and Brazil, with its headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses and products.

Currently, we are looking for an Senior Analyst who is able to:

• Design, improve and sustain data quality metrics
• Support product's needs in defining and delivering data based insights for the customers
• Proactively investigate and react to discrepancies in data
• Time-Series forecasting

All results will be implemented directly into the product, so this role involves both developing models/metrics and heuristics and deploying them into production. The position involves not only data analysis, developing hypotheses, and models, but also writing production-level code.

Responsibilities

• Data storage and requesting data from the development team
• User behavior analysis
• Identifying growth opportunities for the product
• Ad hoc research
• Generating product hypotheses
• Product analysis and sales forecasting, including identifying seasonality and trends
• Developing the system of metrics for internal usage
• Developing data driven insights for the customers

Requirements

• 3+ years of experience in data analysis
• Experience in e-commerce
• Knowledge of mathematical statistics and practical experience applying it
• Strong programming skills in Python (Pandas, Numpy)
• Ability to write complex SQL queries
• Skill in selecting appropriate data evaluation methods: analytics, research, or using external data
• Ability to tackle complex problems in situations with incomplete data
• Attention to detail and ability to see tasks through to completion

Preferred

• Experience in marketplace analytics and deep understanding of marketplaces base metrics and ranking algorithms
• Presenting results and data visualization
• Industry experience in Machine Learning: understanding of core modeling and training approaches, ML development experience (raw data analysis, hypothesis formulation, model creation, experimentation, and deployment into production)

We offer

• Compensation package: base salary and performance-based bonuses
• Office-first: flexible hours with a possibility to work remotely 52 days per year
• Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave
• Relocation Support: full assistance for a smooth relocation for the employees and their family
• Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English & Portuguese courses
• Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work

We redesign therapy—and we don’t take no for an answer.

“Impossible” gets us excited. We chase hard problems, missing questions, and truths no one’s cracked. We think big, fight hard, and stare fear in the face.

Mentalyc started in 2021 when analyzing therapy sessions seemed untouchable. Investors passed. We proved them wrong. We grew on revenue, product-market fit, and relentless experimentation.

Today we lead the fast growing AI scribe therapists market. We have millions in revenue from thousands of clients. And we are just getting started.

We’re building a future where therapy is measurable, effective, and radically transformed. We won’t stop until we get there.

What we offer:

• Visionary Leadership: Ambitious founders dedicated to transforming therapy and reducing global suffering.
• Meritocratic Autonomy: Full freedom to choose your working style—judged solely by your results.
• Rapid Career Growth: Exceptional ownership and intellectually stimulating challenges tailored for high performers.
• Bootstrapped & Profitable: Sustainably successful, revenue-driven growth without investor dependence.
• Pioneering Innovation: First-ever projects leveraging complex data to redefine the future of mental healthcare.
  

Responsibilities:

• Perform advanced statistical analysis to derive key insights and guide product and marketing strategy, including regression and cohort analysis.
• Oversee key product KPIs within a product-led growth framework, integrating user segmentation based on behavior and needs.
• Set up and maintain comprehensive dashboards in Mixpanel, Metabase, and Google Analytics, ensuring data is accurately sent and integrated.
• Collaborate with cross-functional teams to align product roadmap with insights from data analysis and user feedback.
• Use business intelligence tools for essential reporting and maintain quality assurance metrics.
• Develop and manage data science features, ensuring effective display and integration in partnership with design.
• Translate data analyses into clear business recommendations to enable strategic decision-making.
• Implement and promote best practices in data-informed decision making
  

Requirements:

• Bachelor’s degree in Business, Math, Statistics, Computer Science, Data Science, or a related field.
• Minimum of 5 years of experience in a data analysis role, with a strong focus on product and marketing analysis.
• Proven understanding of product and marketing dynamics; we are not seeking candidates with a primary background in banking or finance.
• Proficiency in SQL, Python, statistics libraries, and business intelligence tools.
• Advanced understanding of statistical analysis, data visualization, and predictive modeling.
• Proven experience performing cohort analysis, user segmentation, and predictive modeling to forecast user behavior and trends.
• Proven ability to translate data into strategic insights that drive successful business outcomes.
• Experience with A/B testing.
• Familiarity with Mixpanel, Metabase, and Google Analytics, including setting up dashboards and data integration.
  

Personal Qualities:

• Strong attention to detail and accuracy in work.
• Proactive and entrepreneurial mindset with the ability to work independently and collaboratively.
• Natural curiosity and a passion for understanding user behavior and data.
• Deep interest in Math and Statistics.
• Ability to manage multiple projects simultaneously and work under tight deadlines.
• Strong business acumen and ability to translate complex data into understandable narratives for a variety of audiences.
  

Nice to Have:

• Experience with marketing analysis, understanding SEO, CRM, performance marketing, and self-service strategies.
• Experience with mental health documentation data.
• Experience with Vertical SaaS, particularly Electronic Health Records (EHRs).
• Experience or knowledge of the mental health industry from both provider and payer perspectives.
• Experience working in early-stage hyper-growth startups.

We are looking for a skilled BI Analyst to join our core BI team!

In this role, you'll help shape a transparent, reliable, and truly impactful BI infrastructure that supports decision-making across the business. You'll work closely with data engineers to build and maintain core data marts, business metrics, and certified reports — and ensure everything we deliver is accurate, scalable, and user-friendly.If you're passionate about data, have a product-oriented mindset, and care deeply about quality and usability — we’d love to hear from you!

Key Responsibilities

• Design and develop data marts and a semantic layer of business metrics in collaboration with data engineers
• Build reports from scratch: gather requirements, define logic, and create final visualizations in Tableau
• Participate in our internal reporting certification process
• Work with our in-house analytics platform Ocean: design data models, migrate dashboards to unified datasets, and ensure data accuracy and completeness
• Improve the user experience of reports and dashboards by developing and implementing design guidelines and standards
• Establish best practices for BI product design, standardization, and quality control
• Contribute to the development of self-service BI capabilities
• Collaborate with domain analysts as both stakeholders and key business partners

Skills, Knowledge & Expertise

• 2+ years of experience in BI or business analytics, with hands-on experience building data marts and dashboards
• Confident in writing SQL (ClickHouse experience is a plus), with a solid understanding of DWH/data mart architecture
• Experience with Tableau (preferred), and a good sense of data visualization and UX principles
• Familiar with documentation tools (we use Notion), Git, and ideally Airflow
• Strong communication skills, attention to detail, and a structured, product-oriented approach to problem-solving
• Bonus points for experience in game development, mobile analytics, or product analytics

Job Benefits

• Flexible work environment: work remotely from home or in our office in Cyprus
• Paid holidays and sick leave to prioritize your health and well-being
• Competitive salary based on interview results and annual performance reviews
• Bonus system tied to the company's success and performance
• Opportunities to attend conferences, workshops, and meetups
• English classes
• Cool corporate parties and team-building events
• Holiday Gifts: celebrate special occasions with thoughtful holiday gifts from the company
• Free lunches in our offices: enjoy a pleasant time over a meal with your colleagues

StellarTech is looking for a Payment Analyst to strengthen our Payments function. You will be fully focused on the analytical foundation of our global payment operations — driving improvements in approval rates, reducing declines and friction, and enhancing routing strategies through data.

You will work with large volumes of transaction data to build clear, actionable insights across all stages of the payment lifecycle. Your core responsibility will be to build reports to monitor key payment metrics, identify root causes behind inefficiencies, and proactively suggest optimizations to increase payment performance and user conversion.

This role requires a detail-oriented and metrics-driven professional with a deep understanding of the payment ecosystem, who will work closely with the Payments team to shape and optimize a world-class payment infrastructure through data.

What You’ll Do‍

• Develop and maintain dashboards and reporting tools to monitor key payment metrics such as approval rates, decline reasons, retry success rates, and payment method distribution across geographies.
• Work with customer segments and behavioral data to identify opportunities to enhance approval rates, reduce friction, and balance risk across different user profiles and markets.
• Analyze the effectiveness of payment orchestration and routing logic, including cascading rules, acquirer prioritization, and fallback strategies; propose optimizations to improve performance and resilience.
• Partner with Product, Engineering, and the broader Payments team to design and validate routing experiments, A/B tests, and data-driven initiatives aimed at optimizing the end-to-end payment experience.
• Build and maintain alerting systems to detect anomalies or significant deviations in payment behavior, ensuring quick resolution of issues that impact revenue or customer satisfaction.
  

What We’re Looking For‍

• Payment Data Analysis: Deep understanding of payment lifecycle metrics such as approval/decline rates, retry logic, conversion funnels, chargeback and fraud rates, difference in CIT and MIT transactions.
• Technical Proficiency: Strong expertise in analytics tools (Tableau, SuperSet, etc.)and SQL/NoSQL databases.
• Advanced SQL skills for complex queries, performance tuning, and transaction-safe data manipulation.
• Proficiency with AWS Athena for querying large datasets in S3 using optimized, cost-effective practices.
• Strong RDBMS knowledge including schema design, indexing, and handling transactional payment data
• Cohort Analysis: Deep understanding of cohort analysis techniques to track user payment behavior over time, assess retention-impacting payment issues, and compare performance across customer segments
• Segmented Performance Analysis: Ability to break down payment performance by user segments to identify localized bottlenecks or opportunities.
• Experimentation & A/B Testing: Experience designing and analyzing experiments (e.g., routing logic changes, retry strategies) to measure impact on key payment metrics.
• Business-Oriented Thinking: ability to connect analytical work with broader business outcomes — understanding how data impacts approval rates, revenue, and customer experience.
• Collaboration & Cross-Functionality: comfortable working across teams (e.g., Marketing, Monetization, Engineering, Finance,Customer Care), fostering shared understanding and collective problem-solving.

Nice to have

• Experience with Online Subscription Business Models – Knowledge of recurring revenue dynamics, churn management, and retention strategies, along with an understanding of key metrics (e.g., LTV, MRR) crucial for sustainable subscription growth.
• Machine Learning for Payments: Experience applying machine learning techniques to build predictive models for intelligent payment routing and fraud risk scoring.
• External Communication: ability to clearly articulate technical and performance issues, collaborate on investigations, and drive resolution while maintaining productive, professional relationships.
  

Why You'll Love Working With Us

• Impactful Work: Your contributions will directly shape the future of our company.
• Innovative Environment: We're all about trying new things and pushing the envelope in EdTech.
• Freedom: Flexible role based either remotely or hybrid from one of our offices in Cyprus, Poland.
• Health: We offer a health Insurance package for hybrid mode (Cyprus, Poland) and a health corner in the Cyprus office.
• AI solutions: Cursor/Claude Code/ Chat GPT subscription and other tools.
• Wealth: We offer a competitive salary.
• Balance: Flexible paid time off, you get 21 days of annual leave + 10 bank holidays.
• Collaborative Culture: Work alongside passionate professionals who are as driven as you are.
  
• We’re waiting for your CV

We’re waiting for your CV

We are looking for an Analyst who will become an architect of the business planning system: who will support, develop and adapt it to new requirements, directions and tasks. This system helps us grow with a conscious direction - based on data, working models and realistic forecasts. We launch new products and scale existing ones, and it is important to do this not through intuition, but based on precise plans, numbers and purpose.

What will you engage in

• Maintain and develop business plans (BPs) for current products;
• Create BPs for new projects;
• Adapt models in accordance with business goals;
• Work with product and marketing analytics - help build joint forecasts;
• Initiate and implement new ideas in analytics and planning.

What we expect from you

• Experience with Python, ClickHouse, Airflow;
• Understanding the principles of revenue forecasting, product and marketing analytics;
• Experience in building financial models and business plans;
• Basic knowledge of statistics and/or machine learning algorithms;
• 3+ years of experience with similar tasks or in related fields with high motivation to understand a new area.
• Fluent Russian.

What we offer

• Work in a stable international company.
• Competitive salary, reviewed every 6 months based on market trends and your performance.
• Flexible work setup: whether you prefer coming to the office, working from home, or a hybrid of the two, the choice is yours.
• Flexible benefits: an annual $1000 to spend on perks, including health insurance, sports, therapy, education and language classes.
• Full pay during sick leaves and personal leaves, in addition to 20 working days of vacation annually.
• Open statistics, including earnings from our games.
• An epic team ready to share their experience and knowledge.