R
Risk Inc
Data ScienceSenior
Senior Data Analyst
TableauSqlPython
About the Position
We are looking for a Senior Data Analyst to join our analytics team and help business teams make stronger decisions through reliable data, clear insights, and scalable reporting solutions.
Responsibilities
- Own end-to-end analytical and reporting solutions: from business request clarification to data investigation, dashboard delivery, validation, and further optimization
- Build, maintain, and optimize automated reports and Tableau dashboards for business, product, marketing, and regional teams
- Monitor data quality by ensuring accuracy, consistency, and reliability of data across reports, dashboards, and reporting layers
- Identify, investigate, and resolve data discrepancies across data sources, dashboards, and business metrics
- Collaborate closely with stakeholders to clarify requirements, define success criteria, align metric logic, and ensure correct interpretation of data
- Analyze product and marketing performance, highlighting trends, anomalies, risks, and growth opportunities
- Analyze traffic efficiency, including ROI, LTV, conversion, retention, and funnel performance, to support data-driven decision-making
- Transform business questions into clear analytical approaches, reporting solutions, or actionable recommendations
- Improve reporting processes, optimize dashboard performance, and contribute to the scalability and usability of the analytics infrastructure
- Proactively identify areas where analytics can improve business efficiency, decision-making, or operational visibility
- Support less experienced analysts by sharing best practices in SQL, Tableau, data validation, and stakeholder communication
Requirements
- 3−5 years of experience in data analytics, BI, product analytics, marketing analytics, or business analytics
- Strong hands-on experience with Tableau: dashboard development, optimization, data source management, and performance improvement
- Advanced SQL skills: ability to write complex analytical queries, work with multiple data sources, optimize queries, and validate data logic
- Strong understanding of business, product, or marketing metrics: ROI, LTV, conversion, retention, funnels, traffic quality, and performance dynamics
- Experience in translating business problems into analytical solutions and clear recommendations
- Strong data quality mindset: attention to metric logic, consistency, accuracy, and reliability
- Experience working directly with stakeholders: requirements gathering, expectation management, presenting results, and explaining insights
- Ability to work independently, manage tasks end to end, and prioritize in a dynamic environment
- Strong analytical thinking and ability to investigate ambiguous or complex business questions
- Proficiency in Ukrainian or Russian for internal communication
- English level: Pre-Intermediate or higher
- Nice to have: Experience in iGaming, fintech, B2C products, affiliate marketing, or high-volume digital products
- Nice to have: Experience in performance marketing or traffic analysis
- Nice to have: Understanding of attribution, forecasting, cohort analysis, or A/B testing
- Nice to have: Experience with Python for data analysis or automation
- Nice to have: Experience mentoring analysts or improving analytics processes
Senior Data Analyst
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