Senior Product Analyst

Posted 11 hours ago

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

πŸ“‹ Description

β€’ Design and execute product experiments from start to finish.

β€’ Formulate hypotheses, determine test duration and necessary sample size, assess feasibility, evaluate A/B tests, and establish statistical significance.

β€’ Standardize metrics across Copilot, Matchmaking, Concierge, Messenger, and Dashboards.

β€’ Cascade metrics from the primary company metric (MAP) to acquisition, retention, reactivation, and churn drivers.

β€’ Provide an impartial analytical review of product direction and decision-making.

β€’ Identify high-impact growth opportunities.

β€’ Link metrics to objectives, estimates, and costs, and highlight deviations early.

β€’ Generate, prioritize, and validate hypotheses in collaboration with product managers.

β€’ Investigate anomalies and metric deviations, identify root causes, and proactively raise product concerns.

β€’ Align initiatives with corporate goals using a data-driven approach.

β€’ Enhance analytical processes.

β€’ Collaborate directly with product managers and report to the Head of Product.


⛳️ Requirements

β€’ Over 4 years of experience in product analytics, preferably within a product that handles large data volumes.

β€’ A degree in mathematics, engineering, or a related technical field.

β€’ Strong proficiency in mathematical statistics and probability theory, applied in real-world scenarios.

β€’ Demonstrated hands-on experience in designing and executing A/B tests, including sizing, significance, and interpretation.

β€’ Proficiency in SQL and Python; comfortable with data extraction, processing, and visualization.

β€’ Experience with Superset is a plus.

β€’ In-depth understanding of product and marketing metrics, including LTV, CPA, Retention, and CR.

β€’ Strong product thinking and comprehension of user behavior behind metrics.

β€’ High level of autonomy and ownership.

β€’ Critical thinking skills and the ability to question data and decisions.

β€’ Effective communication skills with the ability to simplify complex concepts.

β€’ Nice to have: experience with social products, dating, gaming, or two-sided marketplaces.

β€’ Nice to have: hands-on experience with recommender systems.

β€’ Nice to have: background in a data-rich, high-volume product environment.


🏝️ Benefits

β€’ REMOTE OPPORTUNITY to work full-time.

β€’ 28 calendar days of vacation per year.

β€’ 7 wellness days per year (time off).

β€’ Bonuses up to $5000 for successfully recommending applicants for positions within the company.

β€’ 50% reimbursement for professional training, international conferences, and meetings.

β€’ Corporate discount for English language lessons.

β€’ Health benefits.

β€’ Compensation of up to $1,000 gross per year per employee for self-purchased health insurance or doctor’s fees if not eligible for corporate medical insurance.

β€’ Fully equipped workplace and necessary equipment in company offices or co-working locations.

β€’ Reimbursement of workplace expenses up to $1,000 gross once every 3 years in other locations.

β€’ Internal gamified gratitude system with bonuses that can be exchanged for merchandise, team-building activities, massage certificates, etc.

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