Remote 📊 Analytics Jobs

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.

Quantori is seeking a Senior Business Analyst who has been exposed to a pharma or life-science environment, ideally collaborating with scientists. A biology or chemistry-oriented background and former education is beneficial to understand scientific workflows and processes. The candidate should be able to support teams in either the EST or CET time zones, depending on their location and specific project requirements.

Location:

Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world.

Responsibilities:

• Gather user requirements and conduct needs assessments to guide software development and selection
• Identify challenges and opportunities through independent research and best practice analysis
• Conduct interviews, lead requirements sessions, and facilitate user workshops
• Support scientific research by enabling data capture, analysis, and interpretation through tailored software solutions
• Collaborate with researchers to define needs and identify appropriate solutions
• Build strong relationships across a matrixed organization, working closely with UX, Product Management, Business Analysts, and User Researchers
• Identify and qualify new business demands, and guide proposals through initial approval stages
• Ensure smooth introduction of new or modified services with minimal disruption and maximum benefit
• Develop detailed IT solution designs based on functional specs, technical constraints, and performance requirements
• Integrate services across departments and manage inter-project interfaces
• Support Agile planning and project execution
• Help define SLAs for new systems, including performance goals and service expectations

What we expect:

• Proven experience as a Business Analyst on software development projects
• Background in pharma or life sciences; biology/chemistry knowledge is a plus
• Strong in requirements gathering, user interviews, and use case documentation
• Skilled in defining functional, non-functional, business, and transitional requirements
• Proficient in writing user stories (SCRUM/Kanban)
• Experienced in current/future state analysis, workflows, and gap analysis
• Confident in aligning business and tech teams on requirements
• Supports product vision, scope, and roadmap definition
• Hands-on with UAT, test planning, and reviewing deliverables
• Familiar with BPMN, business architecture, and data modeling
• Able to understand the key phases of the drug discovery process

We offer:

• Competitive compensation
• Remote or office work
• Flexible working hours
• Depending on location and contract, additional benefits can be applied (Health insurance, Continuous education, mentoring, and professional development programs)
• A team with an excellent tech expertise

Scarpel Telecom is a fast-growing international telecommunications company at the forefront of A2P (Application-to-Person) messaging—technology that enables secure, scalable communication between businesses and their customers around the globe.

We’re in an exciting phase of rapid growth and transformation. Our team benefits from the stability of an established business combined with the opportunity to shape the future of global messaging. At Scarpel, we empower our people to make a real, measurable impact—not just within our organization, but across the wider telecom ecosystem.

About the Role

We are seeking a Data Analyst to support our operations team with critical insights and efficient data handling. In this role, you will be responsible for monitoring telecom rates and traffic flows, maintaining and updating key internal files, comparing and analyzing data from multiple sources, and helping to resolve disputes. This is a hands-on position ideal for someone detail-oriented with a strong foundation in telecom and data analytics.

Key Responsibilities

• Monitor traffic flows and analyze reports
• Evaluate and verify partner rate offers for profitability
• Compare datasets from internal tools and external sources
• Identify and collect profitable routing opportunities
• Assist with number range updates and dispute resolution
• Keep rate files and internal data platforms up to date

What You Bring

• Proficiency in Microsoft Excel and other MS tools; Power BI experience is preferred
• Python Scripting Experience
• English proficiency at B2 level or above
• Native Russian speaker
• Strong multitasking and organizational skills
• Proactive, creative mindset with a desire to learn and improve
• Prior experience in the telecom industry (required)

Why This Role Matters

This role plays an important part in ensuring the accuracy, profitability, and efficiency of Scarpel's telecom operations. Your analytical insights and data management will support smarter business decisions and contribute directly to the success and expansion of our global network.

We are looking for analysts in various teams:‍

Telesales Ops, KYC, Collection OPS, Antifraud, Delivery, X-Sell, Portfolio Credit, Portfolio Debit, Finance, Customer Care, Invest, Processing Core, Bring a Friend, Compliance, Telesales Warm, Mobile App, Telesales Cold, BNPL and Business Development Team.

The analyst’s main task is to develop new technological products and enhance existing ones. Your team will include graduates from top universities (MSU, MIPT, HSE, MSTU, NES, MEPhI).

We are at the beginning of our journey, so you will grow quickly and improve your skills. You will see the real impact of your work.

Challenges that await you:

• Use your analytical skills to design top-tier financial products
• Develop performance metrics to enhance both products and workflows
• Derive actionable insights and generate innovative ideas through data analysis
• Conduct in-depth research and investigations
• Design and implement monitoring systems for products and operational processes
• Create informative reports and interactive dashboards
• Optimize customer journey mapping (CJM) and conversion funnels
• Evaluate the quality, coherence, and logic of business processes
• Develop effective incentive schemes for operational teams
• Test hypotheses aimed at process improvement
• Perform cost analysis to evaluate overall operational efficiency

What makes you a great fit:

• A mathematical or technical degree from one of the following universities MSU, MIPT, HSE, MSTU, MEPhI, or NES
• Strong knowledge of mathematical statistics and probability theory
• Analytical mindset and systematic thinking
• Ability to visualize data and draw actionable conclusions
• Experience in hypothesis testing and validation
• Proficiency in working with relational databases and SQL
• Excellent communication skills
• English proficiency at B1 level or higher for effective collaboration with an international team

Our ways of working:

• Innovative Spirit: a team from the best technical universities
• Honest Feedback: valuing open, transparent communication
• Supportive Team: a strong, collaborative community
• Celebrating Achievements: recognizing our wins together
• High-Tech Environment: a team full of smart and revolutionary people who dare to challenge the status quo of incumbent finances

Our benefits:

• Relocation support to Serbia or Mexico with full visa & permit support to the employee and family
• Flexible work from one of our offices or remote
• Healthcare Coverage
• Education Budget: Language lessons, professional training and certifications
• Wellness Budget: Mental health and fitness activity reimbursements
• Vacation policy: 20 days of annual leave and paid sick leave

To build and own a brand-new Business Intelligence system, structuring raw, fragmented data from multiple sources into accessible dashboards and reports that empower the teams to optimize performance, identify inefficiencies, and make smarter decisions.

This is a full-time, contractor role.

What's in it for you

• Architect the company’s entire BI stack and define best practices from day one
• Work with high-leverage datasets from platforms like Shopify, Meta Ads, GA, TripleWhale, Klaviyo, Checkout champ, Phone Apps, and more
• Operate independently in a low-data-maturity environment where your work will directly drive growth
• Work from anywhere with a fully international and global team

What you'll be doing

• Build a brand-new Business Intelligence infrastructure from scratch
• Collect and connect data from multiple marketing and analytics platforms to create a unified view of performance
• Work with large datasets and create custom AI bots
• Build and maintain automated processes that transform raw data into structured, usable insights
• Design intuitive dashboards and reports that help the team make fast, informed decisions
• Turn complex data into clear, actionable insights that drive marketing strategy and funnel performance
• Spot anomalies or underperformance early and flag them to key stakeholders
• Work cross-functionally with teams across marketing, tech, and leadership to improve data visibility and measurement

Who you are

• Experience: 3+ years in data analysis, business intelligence, or analytics roles with exposure to data infrastructure and performance reporting
• Builder Mentality: You’ve worked in (or thrive in) low-data-maturity environments and know how to get results without perfect tools
• Technical Skills: Proficient in SQL and comfortable working with Python or similar scripting tools to automate and structure data
• Platform Familiarity: Experienced with key marketing data sources like Shopify, GA, Facebook Ads, and email platforms
• Analytical & Strategic: You connect the dots across funnel stages, ROI metrics, and ad performance to guide decision-making
• Self-Starter: Comfortable working independently and building systems from the ground up in a fast-paced environment
• Collaborative Partner: Skilled at working across departments and aligning data initiatives with company objectives
• Software Background: Bonus if you have a foundation in software engineering to collaborate more effectively with developers

What success look like

• 30 Days: You’ve mapped all available data sources, aligned with stakeholders, and delivered initial KPIs & dashboards
• 60 Days: You’ve automated reporting processes and built pipelines to support recurring business needs
• 90 Days: You’re the go-to person for the whole team for insights and reporting, with real-time visibility driving better decisions across marketing and operations

Recruitment process

1. Intro Chat: A quick intro call to understand your experience and motivations
2. Tech Interview: Deep dive into your technical abilities and past experience
3. Task: A small, real-world BI task to see how you think and communicate
4. Final Chat: We’ll align expectations, goals, and finalize the next steps

As a Business Analyst for Size & Fit, you will play a key role in addressing the challenge of finding the right fit in online shopping. Size and Fit works towards solving the customer problem of not being able to find the right fit in online shopping. Our mission involves gaining a deep understanding of customers’ preferences related to size and fit, as well as a comprehensive knowledge of product attributes and influencing assortment buying decisions with sizing insights. In this role, you will collaborate closely with the Size and Fit team, which includes members from Product Management, Analytics, Applied Science, and Engineering. You will act as a bridge to the commercial team. You will measure and analyze how the solutions we provide to our customers are impacting our business and your insights will enable strategic commercial decisions at Zalando.

What we'd love you to do (and love doing)

• Bring the business data-driven analytical approach to the Size & Fit Team; you generate hypotheses and try to test them by performing descriptive, exploratory and quantitative analyses.
• Translate data into actionable insights for the business.
• Know when a hypothesis can only be tested by an experiment, and you can help create and drive them.
• You are the connector between the Product and the Business.
• You can translate the Size and Fit benefits to answer complex business questions and identify and measure commercial opportunities.
• Be a reliable partner for the Size & Fit Team when related to commercial reporting and analytics, and support the team with more complex analysis.
• Close cross-functional collaboration with Applied Science, Product, Engineering and Operations to drive innovation.
• You incorporate data from different sources within and outside of Zalando to drive projects.

We'd love to meet you if:

• Proven track record of 5+ experience in analytics, preferably with some experience in e-Commerce and product development teams.
• University degree in Mathematics, Economics, Computer Science, Quantitative social science, or a comparable subject.
• Experience with data visualization tools such as Looker Studio, Tableau, MicroStrategy, or equivalent.
• Advanced statistical skills such as A/B testing and causal inference. Constant drive and tenacity to learn new techniques and tools are a must.
• Understanding of the economics of online platforms and/or online fashion retailers, as well as the commercial KPIs governing their success.
• Effective communication to convince any audience with the insights you generate and compelling storytelling in any form that enables  decision-making.
• Enjoy working cross-functionally; you have great stakeholder management skills to work with different levels of management to support, challenge and bring solutions.
• Hands-on mentality, a person who always finds solutions to challenges. You are proactive, can adapt quickly to changes and always remain focused on our quality objectives.
• Advanced SQL skills and Python (Nice to have)

Our offer:

Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.

• Employee shares program
• 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
• Two paid volunteering days a year
• In a hybrid working model with 60% remote per week, actual practice is up to each team to best support their collaboration
• Work from abroad for up to 30 working days a year
• 27 days of vacation a year to start
• Relocation assistance available (subject to prior agreement)
• Family services, including counseling and support
• Health and wellbeing options (including Gympass)
• Mental health support and coaching are available
• Drive your development through our training platform and biannual peer-to-peer review