Senior Product Analyst – Matchmaking

Anywhere
Fully Remote
Full-Time
Posted 1 month ago

About this role

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📋 Description

  • Work across matchmaking, messaging and AI-assisted user experiences
  • Partner directly with product managers across the Matching & Relationships team
  • Report to the Head of Product
  • Design and run product experiments end to end
  • Form hypotheses, define test duration and required sample size, assess feasibility, evaluate A/B tests and determine statistical significance
  • Unify metrics across product areas from the core company metric (MAP) to acquisition, retention, reactivation and churn drivers
  • Provide an independent analytical check on product direction
  • Identify high-leverage growth opportunities
  • Connect metrics to goals, estimates and costs and flag deviations early
  • Generate, prioritize and validate hypotheses with product managers
  • Investigate anomalies and metric deviations to identify root causes
  • Raise product issues before they grow
  • Calibrate initiatives against corporate goals and challenge them with a numbers-based perspective
  • Improve analytical processes

🎯 Requirements

  • 4+ years in product analytics, ideally at a product with large data volumes
  • A degree in mathematics, engineering or a related technical field
  • Strong command of mathematical statistics and probability theory, applied in practice
  • Hands-on experience designing and running A/B tests, including sizing, significance and interpretation
  • Fluency in SQL and Python
  • Comfortable with data extraction, processing and visualization; Superset is a plus
  • Deep understanding of product and marketing metrics, including LTV, CPA, Retention and CR
  • Product thinking and understanding of user behavior behind metrics
  • High autonomy and ownership
  • Critical thinking and ability to cross-check conclusions
  • Clear communication and ability to explain complex topics simply
  • Experience with social products, dating, gaming or two-sided marketplaces is nice to have
  • Hands-on experience with recommender systems is nice to have
  • Background at a data-rich, high-volume product is nice to have

🏖️ Benefits

  • REMOTE OPPORTUNITY to work full-time
  • Vacation 28 calendar days per year
  • 7 wellness days per year (time off)
  • Bonuses up to $5000 for recommending successful applicants for positions in the company
  • 50% payment for professional training, international conferences, and meetings
  • Corporate discount for English lessons
  • Health benefits
  • Up to $1,000 gross per year per employee for self-purchased health insurance or doctor’s fees for the employee and close relatives
  • Equipped workplace and necessary equipment in offices or co-working locations
  • Reimbursement of workplace costs up to $1,000 gross once every 3 years in other locations
  • Internal gamified gratitude system with bonuses exchangeable for merchandise, team building activities, massage certificates, etc.

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Benefits & Perks

Remote-friendly
Health insurance
Paid vacation
Paid wellness days
Home office stipend
Learning budget
Conference budget
Employee referral bonus
Discounted English lessons
Employee recognition rewards

Recommended Skills for this Position

Quantitative Research Methods
Data-Driven Design
Design Metrics and KPIs
Data and Information Visualization
Feature Prioritization
Cross-Functional Collaboration
Design Communication

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