Jobs Data Analyst
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Β· 88 views Β· 22 applications Β· 10d
Research Analyst
Full Remote Β· Worldwide Β· 3 years of experience Β· English - C1We are building a proprietary intelligence platform focused on alternative asset classes. The research team is responsible for maintaining current, high-quality market intelligence through structured analysis, primary research, and direct engagement with...We are building a proprietary intelligence platform focused on alternative asset classes. The research team is responsible for maintaining current, high-quality market intelligence through structured analysis, primary research, and direct engagement with organizations.
This is a fully research-driven, external-facing analyst role with real responsibility for insight quality and data integrity.
What you will do
- Conduct in-depth research on organizations operating in alternative asset classes
- Identify and validate:
- Active investment mandates
- Strategy focus and allocation preferences
- Meaningful organizational or mandate changes
- Review and approve self-reported information submitted by organizations
- Proactively reach out to firms to confirm, clarify, or expand on insights
- Ask precise, well-structured questions to obtain actionable information
- Maintain clear research notes, context, and approval rationale
- Continuously monitor updates and surface material changes
Who weβre looking for
- Strong analytical and research skills
- Excellent written and spoken English (professional, precise, confident)
- Comfortable engaging directly with senior professionals at organizations
- High judgment and ability to assess credibility of information
- Detail-oriented, methodical, and intellectually curious
Nice to have
- Background in alternative investments, private markets, or financial research
- Experience with primary research and mandate-level analysis
- Familiarity with structured research systems or CRM-like tools
- Experience in research, consulting, institutional operations, or journalism
How success is measured
- Accuracy and depth of collected insights
- Quality of mandate and strategy classification
- Professionalism and effectiveness of external communication
- Strength of documented research reasoning
- Ability to surface new, relevant information proactively
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Β· 242 views Β· 24 applications Β· 10d
Junior Technical Analyst
Ukraine Β· Product Β· English - B2Our Mission and Vision At Solidgate, our mission is clear: to empower outstanding entrepreneurs to build exceptional internet companies. We exist to fuel the builders β the ones shaping the digital economy β with the financial infrastructure they deserve....Our Mission and Vision
At Solidgate, our mission is clear: to empower outstanding entrepreneurs to build exceptional internet companies. We exist to fuel the builders β the ones shaping the digital economy β with the financial infrastructure they deserve. To achieve that, weβre on a bold path: to become the #1 payments orchestration platform in the world.
We believe the future of payments is shaped by people who think big, take ownership, and bring curiosity and drive to everything they do. Thatβs exactly the kind of teammates we want on board.
About the Role
As a Junior Technical Analyst, youβll dive into Solidgateβs payment platform and help businesses integrate and run their payment flows smoothly. This role gives you hands-on experience at the intersection of technical operations and product β working with our technical and business teams to resolve issues and improve the payment experience for businesses worldwide.
What youβll own
- Analyzing incoming client requests and finding effective solutions
- Collaborating closely with product and technical teams inside the company
- Communicating with client representatives to resolve technical issues related to our product
- Working with product documentation and keeping it up to date
Youβre a great fit if you have
- Bachelorβs in Applied Mathematics / Systems Analysis / Software Engineering / related field (completed or in progress)
- Excellent written and verbal communication skills
- English proficiency at Upper-Intermediate level or higher
- Knowledge of SQL
Nice to have
- Self-starter β you can own your projects and take full responsibility for your area
- Practical experience with Postman and Python
Why Solidgate?
- No internships here β we build careers. Get hands-on from day one and make a real impact.
- Enjoy the ride. A wow office in Kyiv center, daily lunches, snacks, team buildings, and a learning budget to keep you growing.
- Flex your schedule. Balance studies and work with flexible hours that fit your life.
- Your work = real outcomes. Shape how global companies move money.
π The Extras: 30+ days off, unlimited sick leave, free office meals, health coverage, and Apple gear to keep you productive. Courses, conferences, sports and wellness benefits β all designed for ideas, focus, and fun.
Tomorrowβs fintech needs your mindset. Come build it with us.
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Β· 76 views Β· 10 applications Β· 10d
Data Analyst
Full Remote Β· Countries of Europe or Ukraine Β· Product Β· 3 years of experience Β· English - B1PIN-UP Global is an international company specializing in developing and implementing advanced technologies, B2B solutions and innovative products. We ensure certification and licensing of our products, providing customers and partners of the holding...PIN-UP Global is an international company specializing in developing and implementing advanced technologies, B2B solutions and innovative products.
We ensure certification and licensing of our products, providing customers and partners of the holding company with high-quality and reliable solutions.
The holdingβs headquarters is located in Cyprus.
Weβre looking for a sharp and driven Data Analyst to join our team!
Responsibilities:
- Research and prepare data with SQL;
- Build efficient and optimised queries (aggregating views, tables etc);
- Create dashboards for product and cashdesk teams;
- Brainstorm how to make things better and share your findings with team, because your view is valuable and may help or impact whole company.
Requirements:
- Experience with BI tools (Tableau preferably), may attach a screenshot of one of your dashboards;
- Strong SQL and complex queries optimisation;
- Understanding raw transactional data and experience in converting them intro aggregated product metrics for further analysis;
- Be active person with burning desire to learn new tools, passion to analytics and friendly work in team.
What are the conditions and bonuses?
πAn exciting and challenging job in a fast-growing product holding, the opportunity to be part of a multicultural team of top professionals in Development, Engineering and Architecture, Management, Operations, Marketing, etc;
π€Great working atmosphere with passionate IT experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed;
πBeautiful offices in Warsaw, Limassol, Yerevan β work with comfort and enjoy the opportunity to build a network of connections with IT professionals day by day;
π§βπ»Laptop & all necessary equipment for work according to the holding standards;
πPaid vacations, personal events days, days off;
π«Paid sick leave;
π¨ββMedical insurance;
π΅Referral program β enjoy cooperation with your colleagues and get a bonus;
πEducational support by our L&D team: internal and external trainings and conferences, courses on Udemy;
π£Free internal English courses;
π€ΈββSport benefit;
π¦Multiple internal activities: online platform with newsletters, quests, gamification, and presents for collecting bonuses, PIN-UP talks club for movie and book lovers, board games cozy evenings, special office days dedicated to holidays, etc;
π³Company events, team buildings.
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Β· 290 views Β· 42 applications Β· 10d
Junior Analytics Engineer/Data Analyst
Full Remote Β· Countries of Europe or Ukraine Β· 1 year of experience Β· English - B2Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one...Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.
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About the client:
It is a new generation of data service provider, specializing in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organizations. The broad range of data-driven solutions in data consulting and digital marketing are designed to meet clientsβ specific needs, always conceived with a business-centric approach and delivered with tangible results.
About the role:
We are looking for a proactive Data Analyst to join a dynamic data squad. In this role, you will be responsible for analysing data from a business data platform in Microsoft Fabric and providing insights to the team on business metrics, data quality and availability. As part of this work, you will also participate in data discovery (including meeting business users) to establish an up to date governance process (data dictionary or catalog, data ownership model, etc.) as well as in providing recommendations for improving current data pipelines to better achieve business goals.
Key Responsibilities:
- Lead structured discovery engagements to understand business objectives, marketing use cases (e.g. SEO, paid media), and data challenges.
- Review and explore data within Microsoft Fabric and other relevant data sources to assess availability, quality, and readiness for marketing use cases.
- Analyse data sourcing, integrations, and end-to-end data flows across systems to identify gaps and dependencies and map data lineage.
- Translate discovery findings into clear, actionable recommendations for engineering and delivery teams, including data models, pipelines, and activation layers.
- Collaborate closely with business analysts to ensure alignment between business requirements and technical insights.
- Some elements of build (pipelines or data catalog and other governance tooling
Required:
- 1β3 years of experience as a data analyst.
- Strong proficiency in SQL.
- Experience with modern cloud data stacks (data warehouses, cloud storage).
- Ability to produce reports from data (e.g. via jupyter notebooks, SQL queries or Excel) and present them to business users.
- Ability to work independently and communicate effectively with onshore teams.
- Experience with Power BI or similar BI tools.
Desired:
- Highly desirable: Prior exposure to consumer data domains such as Loyalty, Promotions, Subscriptions, or E-commerce.
- Highly desirable: worked with Microsoft Fabric (OneLake, Azure Synapse, etc.).
- Highly desirable: Experience with any of the following data: SEO (e.g. GSC), Paid Media (e.g. Meta, Google), Retail Media (e.g. Amazon), Web Analytics (GA4, Adobe Analytics)
- Demonstrable experience setting up data quality monitoring workflows.
- Experience with using git.
- Experience analysing data or creating ETL workflows with Python
We offer:
- Free English classes with a native speaker and external courses compensation.
- PE support by professional accountants.
- 40 days of PTO.
- Medical insurance.
- Team-building events, conferences, meetups, and other activities.
- There are many other benefits youβll find out at the interview. -
Β· 64 views Β· 10 applications Β· 9d
Senior Business Analyst (E-commerce) to $6000
Part-time Β· Full Remote Β· Countries of Europe or Ukraine Β· 7 years of experience Β· English - C1We are looking for a Senior Business Analyst with deep e-commerce expertise to work at the intersection of business strategy, digital platforms, operations, and financial performance. This role is ideal for a senior-level professional who doesnβt take...We are looking for a Senior Business Analyst with deep e-commerce expertise to work at the intersection of business strategy, digital platforms, operations, and financial performance.
This role is ideal for a senior-level professional who doesnβt take requirements or metrics at face value, but validates them through data, user behavior, and unit economics.Requirements (Must-have)
- 7+ years of experience as a Business Analyst / Product Analyst / Business Consultant.
- 3+ years of hands-on experience with e-commerce projects, preferably across different models: B2C / D2C, B2B e-commerce, Marketplaces.
- Proven experience in end-to-end business audits
- Advanced English (C1) β fluent communication with international stakeholders.
- Strong understanding of e-commerce solution architecture, including: CMS / Commerce platforms (Magento, Shopify, Salesforce Commerce, custom solutions); PIM, OMS, ERP, CRM; Payment systems, shipping and logistics integrations
- Deep expertise in e-commerce unit economics, including: CAC, LTV, contribution margin; Revenue and cost structures; Impact of logistics, returns, fraud, payment fees on profitability.
- Experience working with international markets (EU / US).
Nice to have
- Experience with product analytics tools (Amplitude, Mixpanel)
- Experience with BI systems (Power BI, Looker, Tableau)
- CBAP or BCS certification
Responsibilities
- Conduct comprehensive business audits, including: building audit frameworks, forming and validating hypotheses, distinguishing symptoms from root causes.
- Perform focused (targeted) audits: rapid diagnostics of specific business problems, prioritization of recommendations based on business impact.
- Analyze business, operational, and financial data to deliver actionable, high-impact recommendations.
- Collaborate with stakeholders to translate insights into clear, data-backed decisions.
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Β· 37 views Β· 3 applications Β· 9d
BI Engineer
Full Remote Β· Ukraine Β· Product Β· 3 years of experience Β· English - B1Cosmolot is a Ukrainian product IT company that creates and develops an online digital entertainment platform. We build technology-driven solutions with a strong focus on security, transparency, and user comfort. As a BI Engineer, you will prepare and...Cosmolot is a Ukrainian product IT company that creates and develops an online digital entertainment platform. We build technology-driven solutions with a strong focus on security, transparency, and user comfort.
As a BI Engineer, you will prepare and structure data for reporting, build data models, and ensure accurate and reliable dashboards.
You will work closely with analysts and data engineers to support business reporting and analytics needs.
Requirements- Proficiency in Power BI: Power Query, DAX, Data modeling, Incremental refresh
- Strong SQL skills for querying and optimizing large data sources (CTEs, window functions)
- Experience with version control system (Git)
- Experience in designing and implementing data models
- Understanding of cloud platforms (AWS Athena)
- Knowledge of data validation, reconciliation, and anomaly detection techniques
Your Responsibilities- Provide clean, transformed data from databases ready for analysis and reporting
- Build, maintain, and optimize BI datasets and data models
- Perform data quality validation, reconciliation, and anomaly detection
- Optimize BI report performance and data refresh processes
- Collaborate with Data Analysts and Data Engineers to ensure consistent and reliable data
Nice to Have- Experience in gaming or other high-load products
- Experience using Python for data analysis
What We Offer- Work in a strong team of professionals and genuinely supportive people
- Opportunities for professional growth and development
- Flexible working hours
- Medical insurance
- Sports expense compensation
- Psychological support
- Free language classes (English, Spanish, and German)
- 18 working days of paid vacation, paid sick leave, and sick days
- Regular team buildings and corporate events
- All necessary equipment for comfortable work
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Β· 48 views Β· 7 applications Β· 9d
Data Analyst β iGaming / Gambling
Full Remote Β· EU Β· Product Β· 3 years of experience Β· English - B2We are looking for a strong middle or senior specialist for an experienced Data Analyst with a strong background in the gambling industry and a solid understanding of product and performance metrics. Your insights will directly support product, marketing,...We are looking for a strong middle or senior specialist for an experienced Data Analyst with a strong background in the gambling industry and a solid understanding of product and performance metrics. Your insights will directly support product, marketing, and business decisions.
Requirements:
Mandatory experience in the gambling or iGaming industry
3+ years of experience in data analytics, preferably within iGaming or related digital products;
Strong SQL skills;
Hands-on experience with Python for analytics, automation, and data processing;
Deep understanding of key iGaming metrics (LTV, ARPU/ARPPU, Retention, Churn, Conversion, RTP, GGR/NGR, etc.);
Experience working with BI tools (Tableau/Power BI/Looker; Tableau is a strong advantage);
Proven ability to work with large datasets and build structured reports;
Strong analytical mindset and the ability to generate clear, actionable insights.Key Responsibilities:
Build and maintain dashboards and reports for product, marketing, and business teams;
Analyze user behavior, funnels, retention, and overall product performance;
Assess the effectiveness of marketing channels, campaigns, and traffic quality;
Provide analytics to support strategic and operational decision-making;
Automate recurring reports and optimize data processes;
Monitor key product and business metrics, identify anomalies, and propose solutions.Nice to Have:
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Experience in Data Engineering (ETL, pipeline optimization);
Experience working with APIs, integrations, and automation;
Background in user behavior modeling and metric forecasting. -
Β· 37 views Β· 3 applications Β· 2d
Digital Analytic
Full Remote Β· Worldwide Β· 3 years of experience Β· English - B2Key Responsibilities Develop, build, and maintain Adobe Analytics workspaces and dashboards covering complex end-to-end digital journeys. Use Adobe Report Builder to create automated, reliable, and scalable reports for cross-functional teams. Analyse...Key Responsibilities
- Develop, build, and maintain Adobe Analytics workspaces and dashboards covering complex end-to-end digital journeys.
- Use Adobe Report Builder to create automated, reliable, and scalable reports for cross-functional teams.
- Analyse digital performance trends and translate complex datasets into clear insights and recommendations for senior leadership.
- Perform QA of analytics tracking across new and existing digital journeys to ensure accurate and complete data capture.
- Troubleshoot data discrepancies and ensure compliance with tagging governance and best practices.
- Combine data from multiple sources (e.g., Adobe Analytics, CRM systems, operational data) to create unified performance views.
- Design and deliver clear, concise, and compelling reports tailored for senior stakeholder audiences.
- Identify key opportunities, risks, and trends to support strategic and tactical decision-making.
Required Skills & Experience
- Proven experience as a Digital or Adobe Analytics Analyst.
- Strong hands-on expertise with Adobe Analytics (Analysis Workspace, segments, calculated metrics).
- Experience using Adobe Report Builder for automated reporting.
- Strong understanding of digital analytics tagging, data layers, and governance principles.
- Demonstrated ability to analyse complex data and communicate insights in a clear, business-focused manner.
- Experience working with multiple data sources and integrating datasets for holistic analysis.
- Excellent stakeholder communication skills, including experience presenting to senior leadership
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Β· 53 views Β· 17 applications Β· 9d
Senior Business Analyst / System Analyst
Full Remote Β· Worldwide Β· 3 years of experience Β· English - A2Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and allβthingsβdigital solutions, is looking for a Senior...Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and allβthingsβdigital solutions, is looking for a Senior Business Analyst / System Analyst to join its professional team.
Description
- Participate in development of complex banking and fintech digital solutions
- Work on web and mobile financial systems in a distributed international team
- Act as a key link between business stakeholders and technical teams
- Analyze business needs and transform them into clear, structured system requirements
- Support projects involving integrations, regulatory compliance, and highβload architectures
Requirements
- 3β5+ years of experience as a Business Analyst / System Analyst in banking or fintech
- Strong understanding of core banking domains, including cards, accounts, loans, payments & transfers, and tokenization
- Solid experience in business and system analysis
- Confident use of BPMN and UML for modeling business processes and system interactions
- Experience working with SQL and data analysis
- Good understanding of microservices architecture and APIβfirst design principles
- Experience analyzing and documenting mobile and web interfaces (iOS, Android, HarmonyOS, Reactβbased applications)
- Experience with system integrations, including banking systems, SWIFT, ERP platforms, and tokenization services
- Understanding of CI/CD pipelines and modern delivery processes
- Familiarity with Kubernetes and containerβbased environments
- Experience with security and access management tools such as Keycloak, Vault, or similar solutions
- Knowledge of regulatory and compliance standards, including PCI DSS, GDPR, PSD2
- Handsβon experience preparing and maintaining documentation such as BRD, FSD, SRS, as well as user stories and acceptance criteria
- English level A2 or higher
- Proactive, structured, and detailβoriented mindset
Responsibilities
- Gather, analyze, and formalize business and system requirements
- Translate business needs into clear functional and nonβfunctional specifications
- Model business processes, system flows, and data interactions
- Prepare and maintain highβquality analytical documentation throughout the project lifecycle
- Support API and integration design from a business and system analysis perspective
- Collaborate closely with product owners, developers, QA engineers, and other stakeholders
- Participate in backlog refinement, requirement clarification, and prioritization
- Ensure requirements compliance with banking regulations and security standards
- Support development and testing teams by clarifying requirements and expected behavior
- Contribute to continuous improvement of analysis processes and documentation standards
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Β· 50 views Β· 2 applications Β· 9d
Business Analyst
Full Remote Β· EU Β· Product Β· 2.5 years of experience Β· English - B2PIN-UP Global is an international holding specializing in the development and implementation of advanced technologies, B2B solutions and innovative products. We provide certification and licensing of our products, providing customers and partners of the...PIN-UP Global is an international holding specializing in the development and implementation of advanced technologies, B2B solutions and innovative products. We provide certification and licensing of our products, providing customers and partners of the holding with high-quality and reliable solutions. We are looking for a Business Analyst to join our team.
Requirements:
β 5+ years of experience as a Business Analyst, with proven expertise in requirements elicitation, analysis, and documentation in complex environments;
β In-depth knowledge of business analysis best practices, including writing user stories, acceptance criteria, and creating process flow diagrams;
β Experience with various requirement management frameworks and tools like Jira, Confluence, or equivalent;
β Practical experience conducting workshops, stakeholder interviews, and brainstorming sessions to gather and prioritize requirements;
β Strong experience with data analysis and modeling techniques, including interpreting complex datasets and translating them into actionable insights;
β Proven ability to identify gaps in processes or systems and propose effective business solutions;
β Hands-on experience creating and managing backlogs in Agile/SAFe environments, ensuring high-quality refinements and readiness for development;
β Experience of work on cross-functional projects, particularly in FinTech domains like payment systems, transfers, accounting systems or digital wallets.
β A candidate should have proven, hands-on experience in developing, securing, and maintaining payment card, blockchain and cryptocurrency projects.
β Understanding of financial products, particularly in areas such as accounting systems for payment solutions.
β Experience working with or analyzing payment processing systems, including blockchain-based solutions.
Responsibilities:
Stakeholder and Cross-Team Communication
-Act as the main liaison between business stakeholders and development teams to translate business needs into actionable requirements;
-Actively contribute to the long-term strategic planning and development of the Accounting System project. Support the Product Owner in maintaining and updating the project roadmap in Jira to ensure alignment with business
initiatives. Own and manage the jira backlog, ensuring it is well-groomed and prepared at least one sprint ahead to facilitate smooth sprint planning
-Facilitate effective communication across teams to ensure alignment on business goals and technical implementation;
-Represent business requirements and progress in leadership meetings, ensuring alignment on priorities and objectives.
Requirements Gathering and Analysis
-Collaborate with stakeholders to identify and clarify business needs and translate them into detailed functional and non-functional requirements;
-Analyze and model current and future state processes to identify opportunities for improvement and efficiency;
-Ensure requirements are prioritized, structured, and aligned with business objectives.
Sprint Support and Backlog Management
-Collaborate with Product Owners and development teams to refine and manage the product backlog, ensuring items are ready for development;
-Assist in sprint planning sessions by ensuring clear requirements and priorities for the sprint;
-Continuously review and refine backlog items to ensure alignment with evolving business needs;
-Actively support sprint ceremonies, including daily stand-ups, backlog grooming, and retrospectives, providing clarification on requirements when needed.
Project Documentation and Knowledge Management
-Maintain up-to-date documentation in Confluence, ensuring all requirement-related information is easily accessible and current;
Collaboration with Technical Teams
-Work closely with developers and QA teams to ensure requirements are fully understood and implemented correctly;
-Provide ongoing support during the development and testing phases, answering questions, and clarifying requirements;
-Validate developed features against business needs and requirements to ensure they meet acceptance criteria.
Risk Management and Issue Resolution
-Proactively identify potential risks or issues that could impact requirement fulfillment or project timelines;
-Act as a problem solver to address requirement-related challenges and ensure delivery stays on track.
Our benefits to you:πΈAn exciting and challenging job in a fast-growing holding, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and more
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πΈGreat working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed
πΈModern corporate equipment based on macOS or Windows and additional equipment are provided
πΈPaid vacations, sick leave, personal events days, days off
πΈReferral program β enjoy cooperation with your colleagues and get the bonus
πΈEducational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences
Rewards program for mentoring and coaching colleagues
πΈFree internal English courses
πΈIn-house Travel Service
πΈMultiple internal activities: online platform for employees with quests, gamification, presents and news, PIN-UP clubs for movie / book / pets lovers and more
πΈOther benefits could be added based on your location -
Β· 59 views Β· 5 applications Β· 1d
Product Analyst (Retention / iGaming)
Full Remote Β· EU Β· Product Β· 3 years of experience Β· English - B1About Us We are a fast-growing international iGaming company with over 3 years of success and a team of 1,000+ professionals. We operate 8 large-scale projects trusted by thousands of players worldwide and focus on building data-driven, scalable...About Us
We are a fast-growing international iGaming company with over 3 years of success and a team of 1,000+ professionals.
We operate 8 large-scale projects trusted by thousands of players worldwide and focus on building data-driven, scalable products.
We value expertise, initiative, and continuous growth, offering an environment where professionals can make a real impact on the future of the entertainment industry.
About the Role
We are looking for a Product Analyst (Retention) to join our iGaming team.
In this role, you will focus on analyzing player behavior, retention metrics, and product performance to support data-driven decisions and improve long-term user engagement, working closely with product, marketing, and BI teams to identify growth opportunities and optimize retention strategies.
Responsibilities
- Analyze player behavior, retention, and lifecycle metrics
- Perform cohort and funnel analysis to identify drop-off points and growth opportunities
- Evaluate the effectiveness of bonuses, promotions, and retention campaigns
- Build dashboards and regular reports for product and business teams
- Translate data insights into clear and actionable product recommendations
- Collaborate closely with product managers, marketers, and BI specialists
Requirements
- 3+ years of experience in product, retention, or behavioral analytics
- Strong SQL skills and experience working with large datasets
- Hands-on experience with BI tools and data visualization
- Solid understanding of retention metrics, cohorts, and user behavior analysis
- Product mindset and ability to work with business stakeholders
- Strong analytical thinking and attention to detail
Nice to Have
- Experience in iGaming, betting, or other high-load B2C products
- Experience with A/B testing and experimentation
- Knowledge of statistics and predictive analytics
What We Offer
- Full-time remote work (MonβFri, 10:00β19:00 UTC+2) π»
- Competitive salary and performance-based bonuses πΈ
- Paid vacation and sick leave π΄
- Birthday gifts and corporate activities π
- Professional growth and onboarding support
- Regular internal events and team-building activities
- Corporate psychologist support π§
- Friendly and growth-oriented work environment
Ready to Join Us?
If youβre ready to bring your expertise to a dynamic, fast-growing iGaming team and make a real impact on retention and product decisions, weβd be happy to meet you.
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Join us and be part of our growth journey. -
Β· 127 views Β· 9 applications Β· 8d
Data Analyst
Office Work Β· Ukraine (Kyiv) Β· Product Β· 1 year of experience Β· English - B1Your future responsibilities: Process, analyze and transform data from various sources (SQL Server, AWS Athena, Sybase IQ) Develop informative dashboards and reports on Power BI for business decision-making, optimize and maintain existing reporting on a...Your future responsibilities:
- Process, analyze and transform data from various sources (SQL Server, AWS Athena, Sybase IQ)
- Develop informative dashboards and reports on Power BI for business decision-making, optimize and maintain existing reporting on a regular basis
- Build and orchestrate data processing flows (batch processing)
Your skills and experience:
- Higher education (economics, systems analysis, computer science or related)
- 1 year of experience in a similar position
- Ability to work with large data sets, using analytical tools and software to identify and communicate key insights and results to the business
- High level of proficiency in SQL and MS Office tools
- Experience in developing interactive reports on the Power BI platform with integration of various data sources
- Understanding of ETL processes
- Responsibility, attention to detail and analytical skills at a high level
- Ability to work independently and in a team
- High communication skills, both written and oral, to communicate with colleagues and management
- Knowledge of English (Intermediate)
Will be a plus:
- Basic knowledge of economics, finance and banking
- Proficiency in Airflow, AWS
- Experience with Python will be an advantage
We offer what matters most to you:
- Competitive salary: we guarantee a stable income and annual bonuses for your personal contribution. Additionally, we have a referral program with rewards for bringing in new colleagues to Raiffeisen Bank
- Social package: official employment, 28 days of paid leave, additional paternity leave, and financial assistance for parents with newborns
- Comfortable working conditions: possibility of a hybrid work format, offices equipped with shelters and generators, modern equipment. Classification: PUBLIC
- Wellbeing program: all employees have access to medical insurance from the first working day; consultations with a psychologist, nutritionist, or lawyer; discount programs for sports and purchases; family days for children and adults; in-office massages
- Training and development: access to over 130 online training resources; corporate training programs in CX, Data, IT Security, Leadership, Agile. Corporate library.
- Great team: our colleagues form a community where curiosity, talent, and innovation are welcome. We support each other, learn together, and grow. You can find like-minded individuals in over 15 professional communities, reading clubs, or sports clubs
- Career opportunities: we encourage advancement within the bank across functions
- Innovations and technologies: Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go (infra, security), Swift (IOS), Kotlin (Android). Data stores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink
- Support program for defenders: we maintain jobs and pay average wages to mobilized individuals. For veterans, we have a support program and develop the Bankβs veterans community. We work on increasing awareness among leaders and teams about the return of veterans to civilian life. Raiffeisen Bank has been recognized as one of the best employers for veterans by Forbes
Why Raiffeisen Bank?
- Our main value is people, and we support and recognize them, educate them and involve them in changes. Join Raifβs team because for us YOU matter!
- One of the largest lenders to the economy and agricultural business among private banks
- Recognized as the best employer by EY, Forbes, Randstad, Franklin Covey, and Delo.UA
- The largest humanitarian aid donor among banks (Ukrainian Red Cross, UNITED24, Superhumans, Π‘ΠΠΠΠΠΠ)
- One of the largest IT product teams among the countryβs banks. One of the largest taxpayers in Ukraine; 6.6 billion UAH were paid in taxes in 2023
Opportunities for Everyone:
- Rife is guided by principles that focus on people and their development, with 5,500 employees and more than 2.7 million customers at the center of attention
- We support the principles of diversity, equality and inclusiveness
- We are open to hiring veterans and people with disabilities and are ready to adapt the work environment to your special needs
- We cooperate with students and older people, creating conditions for growth at any career stage
Want to learn more? β Follow us on social media:
Facebook, Instagram, LinkedIn
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Π’Π²ΠΎΡ ΠΌΠ°ΠΉΠ±ΡΡΠ½Ρ ΠΎΠ±ΠΎΠ²βΡΠ·ΠΊΠΈ:β―
- ΠΠ±ΡΠΎΠ±Π»ΡΡΠΈ, Π°Π½Π°Π»ΡΠ·ΡΠ²Π°ΡΠΈ ΡΠ° ΡΡΠ°Π½ΡΡΠΎΡΠΌΡΠ²Π°ΡΠΈ Π΄Π°Π½Ρ Π· ΡΡΠ·Π½ΠΈΡ Π΄ΠΆΠ΅ΡΠ΅Π» (SQL Server, AWS Athena, Sybase IQ)
- Π ΠΎΠ·ΡΠΎΠ±Π»ΡΡΠΈ ΡΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠ²Π½Ρ Π΄Π΅ΡΠ±ΠΎΡΠ΄ΠΈ ΡΠ° Π·Π²ΡΡΠΈ Π½Π° Power BI Π΄Π»Ρ ΠΏΡΠΈΠΉΠ½ΡΡΡΡ Π±ΡΠ·Π½Π΅Ρ-ΡΡΡΠ΅Π½Ρ, ΠΎΠΏΡΠΈΠΌΡΠ·ΡΠ²Π°ΡΠΈ ΡΠ° ΠΏΡΠ΄ΡΡΠΈΠΌΡΠ²Π°ΡΠΈ ΡΡΠ½ΡΡΡΡ Π·Π²ΡΡΠ½ΡΡΡΡ Π½Π° ΡΠ΅Π³ΡΠ»ΡΡΠ½ΡΠΉ ΠΎΡΠ½ΠΎΠ²Ρ
- ΠΡΠ΄ΡΠ²Π°ΡΠΈ ΡΠ° ΠΎΡΠΊΠ΅ΡΡΡΡΠ²Π°ΡΠΈ ΠΏΠΎΡΠΎΠΊΠΈ ΠΎΠ±ΡΠΎΠ±ΠΊΠΈ Π΄Π°Π½ΠΈΡ (batch processing)
Π’Π²ΡΠΉ Π΄ΠΎΡΠ²ΡΠ΄ ΡΠ° Π½Π°Π²ΠΈΡΠΊΠΈ:
- ΠΠΈΡΠ° ΠΎΡΠ²ΡΡΠ° (Π΅ΠΊΠΎΠ½ΠΎΠΌΡΡΠ½Π°, ΡΠΈΡΡΠ΅ΠΌΠ½ΠΈΠΉ Π°Π½Π°Π»ΡΠ·, ΠΊΠΎΠΌΠΏβΡΡΠ΅ΡΠ½Ρ Π½Π°ΡΠΊΠΈ Π°Π±ΠΎ ΡΡΠΌΡΠΆΠ½Π°)
- ΠΠΎΡΠ²ΡΠ΄ ΡΠΎΠ±ΠΎΡΠΈ Π½Π° Π°Π½Π°Π»ΠΎΠ³ΡΡΠ½ΡΠΉ ΠΏΠΎΡΠ°Π΄Ρ Π²ΡΠ΄ 1 ΡΠΎΠΊΡ
- ΠΠΌΡΠ½Π½Ρ ΠΏΡΠ°ΡΡΠ²Π°ΡΠΈ Π· Π²Π΅Π»ΠΈΠΊΠΈΠΌΠΈ ΠΌΠ°ΡΠΈΠ²Π°ΠΌΠΈ Π΄Π°Π½ΠΈΡ , Π²ΠΈΠΊΠΎΡΠΈΡΡΠΎΠ²ΡΡΡΠΈ Π°Π½Π°Π»ΡΡΠΈΡΠ½Ρ ΡΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠΈ ΡΠ° ΠΏΡΠΎΠ³ΡΠ°ΠΌΠ½Π΅ Π·Π°Π±Π΅Π·ΠΏΠ΅ΡΠ΅Π½Π½Ρ Π΄Π»Ρ Π²ΠΈΡΠ²Π»Π΅Π½Π½Ρ ΡΠ° Π΄ΠΎΠ½Π΅ΡΠ΅Π½Π½Ρ ΠΊΠ»ΡΡΠΎΠ²ΠΈΡ ΡΠ½ΡΠ°ΠΉΡΡΠ² ΡΠ° ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡΠ² Π΄ΠΎ Π±ΡΠ·Π½Π΅ΡΡ
- ΠΠΈΡΠΎΠΊΠΈΠΉ ΡΡΠ²Π΅Π½Ρ Π²ΠΎΠ»ΠΎΠ΄ΡΠ½Π½Ρ SQL ΡΠ° ΡΠ½ΡΡΡΡΠΌΠ΅Π½ΡΡΠ² MS Office
- ΠΠΎΡΠ²ΡΠ΄ ΡΠΎΠ·ΡΠΎΠ±ΠΊΠΈ ΡΠ½ΡΠ΅ΡΠ°ΠΊΡΠΈΠ²Π½ΠΈΡ Π·Π²ΡΡΡΠ² Π½Π° ΠΏΠ»Π°ΡΡΠΎΡΠΌΡ Power BI Π· ΡΠ½ΡΠ΅Π³ΡΠ°ΡΡΡΡ ΡΡΠ·Π½ΠΈΡ Π΄ΠΆΠ΅ΡΠ΅Π» Π΄Π°Π½ΠΈΡ
- Π ΠΎΠ·ΡΠΌΡΠ½Π½Ρ ΠΏΡΠΎΡΠ΅ΡΡΠ² ETL
- ΠΡΠ΄ΠΏΠΎΠ²ΡΠ΄Π°Π»ΡΠ½ΡΡΡΡ, ΡΠ²Π°ΠΆΠ½ΡΡΡΡ Π΄ΠΎ Π΄Π΅ΡΠ°Π»Π΅ΠΉ ΡΠ° Π°Π½Π°Π»ΡΡΠΈΡΠ½Ρ Π½Π°Π²ΠΈΡΠΊΠΈ Π½Π° Π²ΠΈΡΠΎΠΊΠΎΠΌΡ ΡΡΠ²Π½Ρ
- ΠΠ΄Π°ΡΠ½ΡΡΡΡ ΠΏΡΠ°ΡΡΠ²Π°ΡΠΈ ΡΠ°ΠΌΠΎΡΡΡΠΉΠ½ΠΎ ΡΠ° Π² ΠΊΠΎΠΌΠ°Π½Π΄Ρ
- ΠΠΈΡΠΎΠΊΡ ΠΊΠΎΠΌΡΠ½ΡΠΊΠ°ΡΡΠΉΠ½Ρ Π½Π°Π²ΠΈΡΠΊΠΈ, ΡΠΊ ΠΏΠΈΡΡΠΌΠΎΠ²Ρ, ΡΠ°ΠΊ Ρ ΡΡΠ½Ρ, Π΄Π»Ρ ΠΊΠΎΠΌΡΠ½ΡΠΊΠ°ΡΡΡ Π· ΠΊΠΎΠ»Π΅Π³Π°ΠΌΠΈ ΡΠ° ΠΊΠ΅ΡΡΠ²Π½ΠΈΡΡΠ²ΠΎΠΌ
- ΠΠ½Π°Π½Π½Ρ Π°Π½Π³Π»ΡΠΉΡΡΠΊΠΎΡ ΠΌΠΎΠ²ΠΈ (Intermediate)
ΠΡΠ΄Π΅ ΠΏΠ΅ΡΠ΅Π²Π°Π³ΠΎΡ:
- ΠΠ°Π·ΠΎΠ²Ρ Π·Π½Π°Π½Π½Ρ Π΅ΠΊΠΎΠ½ΠΎΠΌΡΠΊΠΈ, ΡΡΠ½Π°Π½ΡΠΎΠ²ΠΎΡ ΡΠ° Π±Π°Π½ΠΊΡΠ²ΡΡΠΊΠΎΡ ΡΠΈΡΡΠ΅ΠΌΠΈ
- ΠΠΎΠ»ΠΎΠ΄ΡΠ½Π½Ρ Airflow, AWS
- ΠΠΎΡΠ²ΡΠ΄ ΡΠΎΠ±ΠΎΡΠΈ Π· Python Π±ΡΠ΄Π΅ ΠΏΠ΅ΡΠ΅Π²Π°Π³ΠΎΡ
ΠΡΠΎΠΏΠΎΠ½ΡΡΠΌΠΎ ΡΠ΅, ΡΠΎ ΠΌΠ°Ρ Π·Π½Π°ΡΠ΅Π½Π½Ρ ΡΠ°ΠΌΠ΅ Π΄Π»Ρ ΡΠ΅Π±Π΅:β―
- ΠΠΎΠ½ΠΊΡΡΠ΅Π½ΡΠ½Π° Π·Π°ΡΠΎΠ±ΡΡΠ½Π° ΠΏΠ»Π°ΡΠ°: Π³Π°ΡΠ°Π½ΡΡΡΠΌΠΎ ΡΡΠ°Π±ΡΠ»ΡΠ½ΠΈΠΉ Π΄ΠΎΡ ΡΠ΄ ΡΠ° ΡΡΡΠ½Ρ Π±ΠΎΠ½ΡΡΠΈ Π·Π° ΡΠ²ΡΠΉ ΠΎΡΠΎΠ±ΠΈΡΡΠΈΠΉ Π²Π½Π΅ΡΠΎΠΊ. ΠΠΎΠ΄Π°ΡΠΊΠΎΠ²ΠΎ, Ρ Π½Π°Ρ Π΄ΡΡ ΡΠ΅ΡΠ΅ΡΠ°Π»ΡΠ½Π° ΠΏΡΠΎΠ³ΡΠ°ΠΌΠ° Π²ΠΈΠ½Π°Π³ΠΎΡΠΎΠ΄ΠΈ Π·Π° Π·Π°Π»ΡΡΠ΅Π½Π½Ρ Π½ΠΎΠ²ΠΈΡ ΠΊΠΎΠ»Π΅Π³ Π΄ΠΎ Π Π°ΠΉΡΡΠ°ΠΉΠ·Π΅Π½ ΠΠ°Π½ΠΊΡ.
- Π‘ΠΎΡΡΠ°Π»ΡΠ½ΠΈΠΉ ΠΏΠ°ΠΊΠ΅Ρ: ΠΎΡΡΡΡΠΉΠ½Π΅ ΠΏΡΠ°ΡΠ΅Π²Π»Π°ΡΡΡΠ²Π°Π½Π½Ρ, 28 Π΄Π½ΡΠ² ΠΎΠΏΠ»Π°ΡΡΠ²Π°Π½ΠΎΡ Π²ΡΠ΄ΠΏΡΡΡΠΊΠΈ, Π΄ΠΎΠ΄Π°ΡΠΊΠΎΠ²ΠΈΠΉ βΠ΄Π΅ΠΊΡΠ΅Ρβ Π΄Π»Ρ ΡΠ°ΡΡΡΡΠ², ΡΠ° ΠΌΠ°ΡΠ΅ΡΡΠ°Π»ΡΠ½Π° Π΄ΠΎΠΏΠΎΠΌΠΎΠ³Π° Π΄Π»Ρ Π±Π°ΡΡΠΊΡΠ² ΠΏΡΠΈ Π½Π°ΡΠΎΠ΄ΠΆΠ΅Π½Π½Ρ Π΄ΡΡΠ΅ΠΉ.
- ΠΠΎΠΌΡΠΎΡΡΠ½Ρ ΡΠΌΠΎΠ²ΠΈ ΠΏΡΠ°ΡΡ: ΠΌΠΎΠΆΠ»ΠΈΠ²ΡΡΡΡ Π³ΡΠ±ΡΠΈΠ΄Π½ΠΎΠ³ΠΎ ΡΠΎΡΠΌΠ°ΡΡ ΡΠΎΠ±ΠΎΡΠΈ, ΠΎΡΡΡΠΈ Π·Π°Π±Π΅Π·ΠΏΠ΅ΡΠ΅Π½Π½Ρ ΡΠΊΡΠΈΡΡΡΠΌΠΈ ΡΠ° Π³Π΅Π½Π΅ΡΠ°ΡΠΎΡΠ°ΠΌΠΈ, Π·Π°Π±Π΅Π·ΠΏΠ΅ΡΠ΅Π½Π½Ρ ΡΡΡΠ°ΡΠ½ΠΎΡ ΡΠ΅Ρ Π½ΡΠΊΠΎΡ.
- Wellbeing ΠΏΡΠΎΠ³ΡΠ°ΠΌΠ°: Π΄Π»Ρ Π²ΡΡΡ ΡΠΏΡΠ²ΡΠΎΠ±ΡΡΠ½ΠΈΠΊΡΠ² Π΄ΠΎΡΡΡΠΏΠ½Ρ ΠΌΠ΅Π΄ΠΈΡΠ½Π΅ ΡΡΡΠ°Ρ ΡΠ²Π°Π½Π½Ρ Π· ΠΏΠ΅ΡΡΠΎΠ³ΠΎ ΡΠΎΠ±ΠΎΡΠΎΠ³ΠΎ Π΄Π½Ρ; ΠΊΠΎΠ½ΡΡΠ»ΡΡΠ°ΡΡΡ ΠΏΡΠΈΡ ΠΎΠ»ΠΎΠ³Π°, Π½ΡΡΡΠΈΡΡΠΎΠ»ΠΎΠ³Π° ΡΠΈ ΡΡΠΈΡΡΠ°; Π΄ΠΈΡΠΊΠΎΠ½Ρ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΈ Π½Π° ΡΠΏΠΎΡΡ ΡΠ° ΠΏΠΎΠΊΡΠΏΠΊΠΈ; family days Π΄Π»Ρ Π΄ΡΡΠ΅ΠΉ ΡΠ° Π΄ΠΎΡΠΎΡΠ»ΠΈΡ ; ΠΌΠ°ΡΠ°ΠΆ Π² ΠΎΡΡΡΡ.
- ΠΠ°Π²ΡΠ°Π½Π½Ρ ΡΠ° ΡΠΎΠ·Π²ΠΈΡΠΎΠΊ: Π΄ΠΎΡΡΡΠΏ Π΄ΠΎ ΠΏΠΎΠ½Π°Π΄ 130 Π½Π°Π²ΡΠ°Π»ΡΠ½ΠΈΡ ΠΎΠ½Π»Π°ΠΉΠ½-ΡΠ΅ΡΡΡΡΡΠ²; ΠΊΠΎΡΠΏΠΎΡΠ°ΡΠΈΠ²Π½Ρ Π½Π°Π²ΡΠ°Π»ΡΠ½Ρ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΈ Π· CX, Data, IT Security, ΠΡΠ΄Π΅ΡΡΡΠ²Π°, Agile. ΠΠΎΡΠΏΠΎΡΠ°ΡΠΈΠ²Π½Π° Π±ΡΠ±Π»ΡΠΎΡΠ΅ΠΊΠ°.
- ΠΡΡΡΠ° ΠΊΠΎΠΌΠ°Π½Π΄Π°: Π½Π°ΡΡ ΠΊΠΎΠ»Π΅Π³ΠΈ β ΡΠ΅ ΡΠΏΡΠ»ΡΠ½ΠΎΡΠ°, Π΄Π΅ Π²ΡΡΠ°ΡΡΡΡΡ Π΄ΠΎΠΏΠΈΡΠ»ΠΈΠ²ΡΡΡΡ, ΡΠ°Π»Π°Π½Ρ ΡΠ° ΡΠ½Π½ΠΎΠ²Π°ΡΡΡ. ΠΠΈ ΠΏΡΠ΄ΡΡΠΈΠΌΡΡΠΌΠΎ ΠΎΠ΄ΠΈΠ½ ΠΎΠ΄Π½ΠΎΠ³ΠΎ, Π²ΡΠΈΠΌΠΎΡΡ ΡΠ°Π·ΠΎΠΌ ΡΠ° Π·ΡΠΎΡΡΠ°ΡΠΌΠΎ. Π’ΠΈ ΠΌΠΎΠΆΠ΅Ρ Π·Π½Π°ΠΉΡΠΈ ΠΎΠ΄Π½ΠΎΠ΄ΡΠΌΡΡΠ² Ρ ΠΏΠΎΠ½Π°Π΄ 15-ΡΠΈ ΠΏΡΠΎΡΠ΅ΡΡΠΉΠ½ΠΈΡ ΠΊΠΎΠΌβΡΠ½ΡΡΡ, ΡΠΈΡΠ°ΡΡΠΊΠΎΠΌΡ ΡΠΈ ΡΠΏΠΎΡΡΠΈΠ²Π½ΠΎΠΌΡ ΠΊΠ»ΡΠ±Π°Ρ .
- ΠΠ°ΡβΡΡΠ½Ρ ΠΌΠΎΠΆΠ»ΠΈΠ²ΠΎΡΡΡ: ΠΌΠΈ Π·Π°ΠΎΡ ΠΎΡΡΡΠΌΠΎ ΠΏΡΠΎΡΡΠ²Π°Π½Π½Ρ Π²ΡΠ΅ΡΠ΅Π΄ΠΈΠ½Ρ Π±Π°Π½ΠΊΡ ΠΌΡΠΆ ΡΡΠ½ΠΊΡΡΡΠΌΠΈ.
- ΠΠ½Π½ΠΎΠ²Π°ΡΡΡ ΡΠ° ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΡΡ. Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go(infra,security), Swift (IOS), Kotlin (Andorid). Datastores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink.
- ΠΡΠΎΠ³ΡΠ°ΠΌΠ° ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΠΈ Π·Π°Ρ ΠΈΡΠ½ΠΈΠΊΡΠ² Ρ Π·Π°Ρ ΠΈΡΠ½ΠΈΡΡ: ΠΌΠΈ Π·Π±Π΅ΡΡΠ³Π°ΡΠΌΠΎ ΡΠΎΠ±ΠΎΡΡ ΠΌΡΡΡΡ ΡΠ° Π²ΠΈΠΏΠ»Π°ΡΡΡΠΌΠΎ ΡΠ΅ΡΠ΅Π΄Π½Ρ Π·Π°ΡΠΎΠ±ΡΡΠ½Ρ ΠΏΠ»Π°ΡΡ ΠΌΠΎΠ±ΡΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠΌ. ΠΠ»Ρ Π²Π΅ΡΠ΅ΡΠ°Π½ΡΠ² ΡΠ° Π²Π΅ΡΠ΅ΡΠ°Π½ΠΎΠΊ Ρ Π½Π°Ρ Π΄ΡΡ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠ° ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΠΈ, ΡΠΎΠ·Π²ΠΈΠ²Π°ΡΡΡΡΡ Π²Π΅ΡΠ΅ΡΠ°Π½ΡΡΠΊΠ° ΡΠΏΡΠ»ΡΠ½ΠΎΡΠ° ΠΠ°Π½ΠΊΡ. ΠΠΈ ΠΏΡΠ°ΡΡΡΠΌΠΎ Π½Π°Π΄ ΠΏΡΠ΄Π²ΠΈΡΠ΅Π½Π½ΡΠΌ ΠΎΠ±ΡΠ·Π½Π°Π½ΠΎΡΡΡ ΠΊΠ΅ΡΡΠ²Π½ΠΈΠΊΡΠ² ΡΠ° ΠΊΠΎΠΌΠ°Π½Π΄ Π· ΠΏΠΈΡΠ°Π½Ρ ΠΏΠΎΠ²Π΅ΡΠ½Π΅Π½Π½Ρ Π²Π΅ΡΠ΅ΡΠ°Π½ΡΠ² Π΄ΠΎ ΡΠΈΠ²ΡΠ»ΡΠ½ΠΎΠ³ΠΎ ΠΆΠΈΡΡΡ. Π Π°ΠΉΡΡΠ°ΠΉΠ·Π΅Π½ ΠΠ°Π½ΠΊ Π²ΡΠ΄Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ ΡΠΊ ΠΎΠ΄ΠΈΠ½ Π· Π½Π°ΠΉΠΊΡΠ°ΡΠΈΡ ΡΠΎΠ±ΠΎΡΠΎΠ΄Π°Π²ΡΡΠ² Π΄Π»Ρ Π²Π΅ΡΠ΅ΡΠ°Π½ΡΠ² (Forbes).
Π§ΠΎΠΌΡ Π Π°ΠΉΡΡΠ°ΠΉΠ·Π΅Π½ ΠΠ°Π½ΠΊ?β―
- ΠΠ°ΡΠ° Π³ΠΎΠ»ΠΎΠ²Π½Π° ΡΡΠ½Π½ΡΡΡΡ β Π»ΡΠ΄ΠΈ Ρ ΠΌΠΈ Π΄Π°ΡΠΌΠΎ ΡΠΌ ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΡ Ρ Π²ΠΈΠ·Π½Π°Π½Π½Ρ, Π½Π°Π²ΡΠ°ΡΠΌΠΎ, Π·Π°Π»ΡΡΠ°ΡΠΌΠΎ Π΄ΠΎ Π·ΠΌΡΠ½. ΠΡΠΈΡΠ΄Π½ΡΠΉΡΡ Π΄ΠΎ ΠΊΠΎΠΌΠ°Π½Π΄ΠΈ Π Π°ΠΉΡΡ, Π°Π΄ΠΆΠ΅ Π΄Π»Ρ Π½Π°Ρ Π’Π ΠΌΠ°ΡΡ Π·Π½Π°ΡΠ΅Π½Π½Ρ!β―
- ΠΠ΄ΠΈΠ½ ΡΠ· Π½Π°ΠΉΠ±ΡΠ»ΡΡΠΈΡ ΠΊΡΠ΅Π΄ΠΈΡΠΎΡΡΠ² Π΅ΠΊΠΎΠ½ΠΎΠΌΡΠΊΠΈ ΡΠ° Π°Π³ΡΠ°ΡΠ½ΠΎΠ³ΠΎ Π±ΡΠ·Π½Π΅ΡΡ ΡΠ΅ΡΠ΅Π΄ ΠΏΡΠΈΠ²Π°ΡΠ½ΠΈΡ Π±Π°Π½ΠΊΡΠ²β―
- ΠΠΈΠ·Π½Π°Π½ΠΈΠΉ Π½Π°ΠΉΠΊΡΠ°ΡΠΈΠΌ ΠΏΡΠ°ΡΠ΅Π΄Π°Π²ΡΠ΅ΠΌ Π·Π° Π²Π΅ΡΡΡΡΠΌΠΈ EY, Forbes, Randstad, Franklin Covey, Delo.UAβ―
- ΠΠ°ΠΉΠ±ΡΠ»ΡΡΠΈΠΉ Π΄ΠΎΠ½ΠΎΡ Π³ΡΠΌΠ°Π½ΡΡΠ°ΡΠ½ΠΎΡ Π΄ΠΎΠΏΠΎΠΌΠΎΠ³ΠΈΡΠ΅ΡΠ΅Π΄ Π±Π°Π½ΠΊΡΠ² (Π§Π΅ΡΠ²ΠΎΠ½ΠΈΠΉ Π₯ΡΠ΅ΡΡ Π£ΠΊΡΠ°ΡΠ½ΠΈ, UNITED24, Superhumans, Π‘ΠΠΠΠΠΠ)β―
- ΠΠ΄ΠΈΠ½ ΡΠ· Π½Π°ΠΉΠ±ΡΠ»ΡΡΠΈΡ ΠΏΠ»Π°ΡΠ½ΠΈΠΊΡΠ² ΠΏΠΎΠ΄Π°ΡΠΊΡΠ² Π² Π£ΠΊΡΠ°ΡΠ½Ρ, Π·Π° 2023 ΡΡΠΊ Π±ΡΠ»ΠΎ ΡΠΏΠ»Π°ΡΠ΅Π½ΠΎ 6,6 ΠΌΠ»ΡΠ΄ Π³ΡΠΈΠ²Π΅Π½Ρ
ΠΠΎΠΆΠ»ΠΈΠ²ΠΎΡΡΡ Π΄Π»Ρ Π²ΡΡΡ :β―
- Π Π°ΠΉΡ ΠΊΠ΅ΡΡΡΡΡΡΡ ΠΏΡΠΈΠ½ΡΠΈΠΏΠ°ΠΌΠΈ, ΡΠΎ ΡΠΎΠΊΡΡΡΡΡΡΡΡ Π½Π° Π»ΡΠ΄ΠΈΠ½Ρ ΡΠ° ΡΡ ΡΠΎΠ·Π²ΠΈΡΠΊΡ, Ρ ΡΠ΅Π½ΡΡΡ ΡΠ²Π°Π³ΠΈ 5β―500 ΡΠΏΡΠ²ΡΠΎΠ±ΡΡΠ½ΠΈΠΊΡΠ² ΡΠ° ΠΏΠΎΠ½Π°Π΄ 2,7 ΠΌΡΠ»ΡΠΉΠΎΠ½ΠΈ ΠΊΠ»ΡΡΠ½ΡΡΠ²β―β―
- ΠΡΠ΄ΡΡΠΈΠΌΡΡΠΌΠΎ ΠΏΡΠΈΠ½ΡΠΈΠΏΠΈ ΡΡΠ·Π½ΠΎΠΌΠ°Π½ΡΡΡΡ, ΡΡΠ²Π½ΠΎΡΡΡ ΡΠ° ΡΠ½ΠΊΠ»ΡΠ·ΠΈΠ²Π½ΠΎΡΡΡ
- ΠΠΈ Π²ΡΠ΄ΠΊΡΠΈΡΡ Π΄ΠΎ Π½Π°ΠΉΠΌΡ Π²Π΅ΡΠ΅ΡΠ°Π½ΡΠ² Ρ Π»ΡΠ΄Π΅ΠΉ Π· ΡΠ½Π²Π°Π»ΡΠ΄Π½ΡΡΡΡ ΡΠ° Π³ΠΎΡΠΎΠ²Ρ Π°Π΄Π°ΠΏΡΡΠ²Π°ΡΠΈ ΡΠΎΠ±ΠΎΡΠ΅ ΡΠ΅ΡΠ΅Π΄ΠΎΠ²ΠΈΡΠ΅ ΠΏΡΠ΄ Π²Π°ΡΡ ΠΎΡΠΎΠ±Π»ΠΈΠ²Ρ ΠΏΠΎΡΡΠ΅Π±ΠΈ
- Π‘ΠΏΡΠ²ΠΏΡΠ°ΡΡΡΠΌΠΎ Π·Ρ ΡΡΡΠ΄Π΅Π½ΡΠ°ΠΌΠΈ ΡΠ° Π»ΡΠ΄ΡΠΌΠΈ ΡΡΠ°ΡΡΠΎΠ³ΠΎ Π²ΡΠΊΡ,β―ΡΡΠ²ΠΎΡΡΡΡΠΈ ΡΠΌΠΎΠ²ΠΈ Π΄Π»Ρ Π·ΡΠΎΡΡΠ°Π½Π½Ρ Π½Π° Π±ΡΠ΄Ρ-ΡΠΊΠΎΠΌΡ Π΅ΡΠ°ΠΏΡ ΠΊΠ°ΡβΡΡΠΈ
ΠΠ°ΠΆΠ°ΡΡ Π΄ΡΠ·Π½Π°ΡΠΈΡΡ Π±ΡΠ»ΡΡΠ΅? β ΠΡΠ΄ΠΏΠΈΡΡΠΉΡΡ Π½Π° Π½Π°Ρ Ρ ΡΠΎΡ.ΠΌΠ΅ΡΠ΅ΠΆΠ°Ρ :
Facebook, Instagram, LinkedInβ―
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Β· 86 views Β· 15 applications Β· 8d
Monetization Analyst
Worldwide Β· 3 years of experience Β· English - B2 Ukrainian Product πΊπ¦Hi! Weβre Leaply β a fast-growing ecosystem of digital and physical products designed to help people build healthier habits and lead better lives. We launched in 2024 and have already seen explosive growth β 10x revenue in the past six months β with...Hi! Weβre Leaply β a fast-growing ecosystem of digital and physical products designed to help people build healthier habits and lead better lives. We launched in 2024 and have already seen explosive growth β 10x revenue in the past six months β with strong traction across the US, Europe, and beyond.
At Leaply, we challenge traditional career paths β we value ownership over job titles, and impact over process. As we scale, weβre looking for a sharp, data-driven Analyst to refine our ops team, enhance team performance, and implement scalable systems.
Role Overview:
As an Analyst, you will be the strategic bridge between raw data and operational excellence. You will join our Operations team to drive efficiency across three key pillars: Monetization, Support, and Online reputation. Your role goes beyond just building reports; you will be expected to uncover hidden patterns, propose data-backed solutions, and actively participate in their implementation, including our upcoming AI-driven automation initiatives.
Technical Stack, that you will work with:
- Data Warehouse: Google BigQuery (Advanced SQL is a must).
- Visualization: Tableau (Creating intuitive, actionable executive dashboards).
- Product Analytics: Amplitude (Analyzing user behavior and funnel performance).
- Innovation: Implementation and optimization of AI/LLM tools for operational workflows.
Key Responsibilities:
- Foundation Building & Data Architecture: As the first analyst in this direction, you will own the end-to-end data flowβfrom querying and structuring raw data in BigQuery to ensuring a "single source of truth" for the entire Ops department.
- Advanced Analytics & Modeling: Move beyond basic reporting. You will develop antifraud models to mitigate risks and design complex behavioral segmentations to understand user lifetime value and churn triggers.
- Performance Monitoring: Architecting the automated KPI ecosystem and health-check dashboards for Payments, Support, and FirstLook.
- Strategic Insight Generation: Conducting high-level deep-dives into payment failure trends, transaction routing optimization, and operational bottlenecks.
- AI & Automation Integration: Leading the charge in implementing AI/LLM solutionsβfrom automated support ticket classification to predictive routing and fraud detection.
- Actionable Implementation: Working as a strategic partner to Ops Leads to ensure your data models translate into direct business growth and process overhauls.
Potential Candidate Profile:
- Experience: 2+ years of experience in Data or Operations Analytics (preferably in Fintech, SaaS, or high-growth startups).
- SQL Mastery: Proficiency in writing complex, optimized queries (CTEs, Window Functions, etc.).
- Visualization Skills: Proven ability to tell a story with data in Tableau, making complex metrics easy for stakeholders to digest.
- Analytical Mindset: Strong understanding of product funnels (Amplitude) and business unit economics.
- Adaptability: A keen interest in AI/Machine Learning and a willingness to experiment with new automation tools.
- Communication: Fluent in translating data findings into clear business recommendations.
Focus Areas (Your Impact)
- Payments: Minimizing cancell rates, optimizing transaction flows, user segmentation etc.
- Support: Analyzing CSAT, other metrics and identifying high-impact areas for AI chatbot implementation.
Online reputation: Integrating analytical tools for sentiment tracking across different platforms.
Why This Role?
- Build the Function from Scratch: You arenβt just joining a team; you are establishing the analytical culture in a team. You will have the autonomy to define the tools, the methodologies, and the standards for how Operations uses data.
- Path to Data Science: This role is designed for growth. With our focus on AI, anti-fraud modeling, and complex segmentations, you will have the perfect sandbox to transition into Data Science or Advanced Machine Learning roles in case you want.
- High Visibility & Ownership: As the pioneer analyst in this direction, your insights will directly influence executive-level decisions. You will see the immediate impact of every model you build.
- AI-First Environment: You won't be stuck with legacy processes. You will be at the forefront of implementing AI-driven operations, giving you a massive competitive edge in the future market.
What youβll get:
- Competitive compensation and a high-impact role.
- Full Ownership: Freedom to optimize and evolve the support function as you see fit.
- Support from the best: Access to internal professional communities (Marketing, Product, Operations) within the SKELAR network.
- A meaningful mission: Help millions of people live healthier lives every day.
Leaply is backed bySKELAR, a venture builder with over 10 successful B2C businesses. Beyond business, we support the SKELAR Foundation, a charitable initiative created by employees to support the Ukrainian Armed Forces.
Join us in building the next big thing!
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Β· 48 views Β· 1 application Β· 8d
Lead Product Analyst
Full Remote Β· EU Β· 5 years of experience Β· English - B2Product Analytics are at the forefront of understanding how our audiences interact with their brand, working to create richer, more personalised experiences that the audiences love. As a Lead Product Analyst you will lead a diverse team of product...Product Analytics are at the forefront of understanding how our audiences interact with their brand, working to create richer, more personalised experiences that the audiences love.
As a Lead Product Analyst you will lead a diverse team of product analysts to produce insights that will drive digital product strategy, working closely with colleagues and stakeholders across Product, Engineering, Data Science and more.
Main responsibilities
Reporting to the Head of Product Analytics, you will:
- Partner closely with Product Managers, Product Analytics and Product Teams to understand metrics requirements, translate them into actionable analytics needs, and develop dashboards and self-serve tools that empower teams to make data-informed decisions.
- Grow and lead a diverse team of analysts to deliver high-quality, actionable insights, fostering an inclusive and collaborative culture where all individuals can contribute fully.
- Champion data-driven decision making across the Product Group, advocating for experimentation, measurement, and insight-led product development.
- Lead deep-dive analyses that inform product strategy and roadmap decisions, identifying opportunities to optimise audience experience, engagement, and impact.
- Drive cross-functional collaboration and evangelise the value of data across teams, shaping and improving data analysis capabilities and self-service functionality across the organisation.
- Ensure data quality, consistency, and governance by aligning metric definitions, maintaining KPI glossaries, and validating tracking accuracy across tools such as Piano and browser network analyses.
- Communicate complex analytical findings through clear, visual storytelling, translating technical insights into narratives that inform and influence non-technical stakeholders.
- Maintain strong documentation practices to support continuity, transparency, and the future development of front-end (FE) analytics capabilities.
- Operate within agile delivery frameworks e.g. 2 week delivery with continuous refinement, and iterative development of analytics solutions.
Essential
- Experience leading and managing a team of data analysts, developing individuals and teams to achieve their full potential and driving value through data and insight (2+ years)
- 4 years of experience in an analytical role, preferably in digital products
- Experience working in a fast-paced environment in order to deliver insights that can influence the direction of the business
- Great communication skills and the ability to translate technical information for non-technical audiences at all levels of the organisation
- Ability to think strategically and a passion for producing high-quality, accurate analytics deliverables
- Ability to build and maintain strong working relationships with colleagues and stakeholders across multiple disciplines, managing expectations of senior colleagues and navigating conflicting priorities and pressures
- High levels of logical thinking and problem solving skills
- A keen advocate for the role of data in driving business performance
Will be a plus:
- Familiarity with agile or other rapid application development methods
- Understanding of data pipelines and/or data modelling
- Experience with Data Science & Machine learning
- Knowledge of R or Python
- Experience working in a digital product focused analytical role in a customer-centric organisation
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Β· 34 views Β· 3 applications Β· 8d
Senior Analytics Engineer
Office Work Β· Poland Β· 5 years of experience Β· English - C1Weβre scaling a large portfolio of newsletters and are looking for a Senior Analytics Engineer with a strong marketing analytics + data engineering background to build and own the data, tracking, and analytics foundation of our operation. This role is...Weβre scaling a large portfolio of newsletters and are looking for a Senior Analytics Engineer with a strong marketing analytics + data engineering background to build and own the data, tracking, and analytics foundation of our operation.
This role is critical to ensuring that our analytics stack is accurate, scalable, and automation-ready across 100+ newsletters. You will work not only with dashboards and reporting, but also with data pipelines, APIs, cloud tools, and AI-driven workflows to support performance, growth, and monetization decisions.
You should think like a marketer, build like a data engineer, and act like an owner. Speed, accuracy, and the ability to translate data into clear business actions are essential.
This role has a clear growth path toward building and leading an analytics/data team as our newsletter portfolio and data complexity grow.
Requirements
- Strong skills in Google Sheets / Excel (advanced formulas, large datasets)
- Solid experience with SQL (queries, joins, aggregations)
- Hands-on experience with Python for data processing, automation, or analysis
- Experience with BI tools (Looker Studio or similar)
- Experience working with Google Cloud Platform, especially BigQuery
- Comfortable working with CSV exports, APIs, and structured/unstructured data
- Understanding of marketing analytics, funnels, attribution, and audience metrics
- Detail-oriented, fast, and reliable when handling large data volumes
- Proactive mindset with strong problem-solving skills
- English level: C1
Key Responsibilities
- Build and maintain dashboards and reporting systems (Looker Studio / BI tools)
- Design and maintain data pipelines (Sheets, BigQuery, APIs, Python scripts)
- Track, analyze, and report key marketing and audience performance metrics
- Identify anomalies, data inconsistencies, or tracking issues early
- Ensure clean, accurate, and scalable data structures
- Support publishing, marketing, and growth teams with actionable insights
- Explore and implement AI-driven analytics and automation solutions
Nice to Have
- Experience with AI tools, LLMs, or AI-based automations
- Knowledge of postbacks, sub IDs, tracking parameters, affiliate attribution
- Background in data engineering, growth analytics, or performance marketing
- Experience with API integrations
Prior work in high-volume digital publishing or newsletters
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