Senior Product Analyst – Matchmaking

This is a fully remote position, open to applicants in Serbia, +4 more countries.

📋 Description

• Collaborate on matchmaking, messaging, and AI-enhanced user experiences

• Work directly with product managers from the Matching & Relationships team

• Report to the Head of Product

• Design and execute product experiments from start to finish

• Formulate hypotheses, determine test duration and necessary sample size, assess feasibility, analyze A/B tests, and establish statistical significance

• Standardize metrics across product areas, from the core company metric (MAP) to acquisition, retention, reactivation, and churn factors

• Provide an independent analytical assessment of product direction

• Identify high-impact growth opportunities

• Connect metrics to objectives, estimates, and costs, and flag any deviations early

• Generate, prioritize, and validate hypotheses in collaboration with product managers

• Investigate anomalies and metric deviations to uncover root causes

• Address product issues proactively before they escalate

• Align initiatives with corporate objectives and challenge them from a data-driven perspective

• Enhance analytical processes

⛳️ Requirements

• Over 4 years of experience in product analytics, preferably in a data-heavy product environment

• A degree in mathematics, engineering, or a related technical discipline

• Strong proficiency in mathematical statistics and probability theory, applied in real-world scenarios

• Practical experience in designing and conducting A/B tests, including sizing, significance, and interpretation

• Proficiency in SQL and Python

• Comfortable with data extraction, processing, and visualization; experience with Superset is a plus

• Comprehensive understanding of product and marketing metrics, such as LTV, CPA, Retention, and CR

• Product-oriented mindset and insight into user behavior related to metrics

• High level of autonomy and ownership

• Strong critical thinking skills and the ability to validate conclusions

• Excellent communication skills with the ability to simplify complex topics

• Experience with social products, dating, gaming, or two-sided marketplaces is desirable

• Hands-on experience with recommender systems is a plus

• Background in a data-rich, high-volume product environment is a plus

🏝️ Benefits

• REMOTE OPPORTUNITY for full-time employment

• 28 calendar days of vacation annually

• 7 wellness days per year (time off)

• Bonuses up to $5000 for successful applicant referrals within the company

• 50% reimbursement for professional training, international conferences, and meetings

• Corporate discounts on English language lessons

• Health benefits

• Up to $1,000 gross per year per employee for self-purchased health insurance or medical expenses for the employee and immediate family

• Fully equipped workplace and necessary equipment in either office or co-working spaces

• Reimbursement of workplace expenses up to $1,000 gross every three years in other locations

• Internal gamified gratitude program with bonuses redeemable for merchandise, team-building activities, massage certificates, and more