Product Analyst / Data Analyst

🕒 May 26

🗣️🇺🇦 Ukrainian Required

🗣️🇷🇺 Russian Required

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Logo of RISK

RISK

1001 - 5000 employees

🎯 Recruiter

Recruitment

RISK is a company whose website content indicates a careers site and recruitment portal. The site provides cookie management and privacy information, job listings, and an employee login; the careers platform appears to be powered by Teamtailor. The visible content focuses on hiring and candidate/employee access rather than specific products or industry verticals.

📋 Description

• Analyze user behavior across key product funnels: registration, deposit, betting activity, withdrawals, bonuses, and retention. • Monitor key product KPIs such as conversion, retention, churn, LTV, session activity, user engagement, and revenue. • Prepare product and business reports to identify which features, mechanics, or user flows drive engagement and revenue. • Support and validate product hypotheses by collecting, analyzing, and interpreting data. • Analyze A/B tests and experiments, evaluate results, and provide clear conclusions and recommendations. • Segment users and analyze cohorts by behavior, value, lifecycle stage, activity level, VIP potential, or risk patterns to support product and CRM decisions. • Help investigate drops or anomalies in product and business metrics and identify possible reasons behind changes. • Work closely with Product, CRM, Marketing, Anti-Fraud, and other business teams to support data-driven decisions. • Prepare regular analytical summaries / presentations with key findings, performance results, and recommendations.

🎯 Requirements

• 2+ years of experience in analytics within a B2C product as a Product Analyst, Data Analyst, CRM Analyst, or Marketing Analyst. • Strong SQL skills and experience working with large datasets. • Experience with BI tools such as Tableau, Power BI, Looker, or similar. • Understanding of product metrics such as conversion, retention, churn, LTV, engagement, revenue, deposits, or user activity. • Experience with funnel analysis, segmentation, hypothesis validation, or A/B testing. • Proven ability to analyze complex data, identify trends, and provide actionable business insights. • Strong communication skills and ability to collaborate with product, CRM, marketing, anti-fraud, business, and technical teams. • Ability to clarify business requests, ask relevant questions, and structure analytical tasks. • Proactive and result-oriented mindset, with readiness to work in a dynamic product environment. • Familiarity with data visualization best practices and presenting insights to stakeholders. • Proficiency in Ukrainian or Russian (written and spoken) for internal communication.

🏖️ Benefits

• Children Allowance • Mental Health Support • Sport Activities • Language Courses • Automotive Services • Veterinary Services • Home Office Setup Assistance • Dental Services • Books and Stationery • Training Compensation • Massage!

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