Descripción de la vacante
Social Discovery Group
$1k USD - $5k USD / year
Spain
Senior Product Analyst - Full remote en Marzan, O Rosal, España is listed on Jobeax. Browse 80,000+ vacancies available.
(SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another.
Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world.
We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world.
We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025).
We are looking for Senior Product Analyst to join our main product team.
Your main tasks will be:
1. Metrics Ownership
Maintain and evolve the metrics tree
Validate metrics and verify that dashboards are built correctly, write clear specs for Data Engineering
Own a single, locked definition for each metric (no two ways of calculating the same thing)
Decompose the north-star metric down to the level each team can actually influence
Run ad-hoc investigations into metric fluctuations
Work directly with functional leads
2. Research
Ad-hoc investigation of metric fluctuations and anomalies
Find and analyze bottlenecks: conversion drop-offs and segmentation
Validate product hypotheses
Data mining for non-obvious patterns and growth opportunities
Prioritize problems jointly with Product, ranked by potential impact on the north-star metric
3. A/B Testing
Test design calculations: sample size, MDE, duration, randomization split
Verify split correctness and run sanity checks before reading any results
Report results together with guardrail metrics
Define data-tracking requirements (which events must be added)
Maintain the test archive
Deliver actionable recommendations from each experiment
Proactively surface data-quality issues before decisions get built on that data
We expect from you:
• Received a mathematical or technical higher education;
• Possess knowledge, experience in applying the methods of mathematical statistics and probability theory;
• You are proficient in data extraction, processing, analysis and visualization tools (MS SQL, Python, Excel);
• Have deep experience in running and analyzing A/B tests;
• Have deep knowledge of marketing metrics, experienced in using them.
What do we offer:
Sounds good? Join us now!
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