Senior Product Analyst

Dating Group; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

REMOTE OPPORTUNITY

Vacation 28 days per year

Wellness days 7 per year

Bonuses up to $5000 for referrals

Training support 50% of costs

English lessons discount

Health benefits

Equipment/ workspace reimbursement

Job summary

Social Discovery Group is seeking a Senior Product Analyst to join our main product team. This remote role focuses on owning the metrics tree, validating dashboards, and delivering data-driven recommendations to improve the north-star metric across our global products.

You will lead research on metric fluctuations, bottlenecks, and segmentation, and design robust A/B tests with defined data-tracking requirements. A background in statistics and marketing metrics is essential.

Qualifications

• Mathematical or technical higher education.
• Knowledge of mathematical statistics and probability theory.
• Proficient in data extraction, processing, analysis and visualization tools (MS SQL, Python, Excel).
• Deep experience in running and analyzing A/B tests.
• Deep knowledge of marketing metrics and using them.

Responsibilities

• Maintain and evolve the metrics tree.
• Validate metrics and write specs for Data Engineering.
• Define a single, locked definition per metric.
• Decompose the north-star metric to controllable levels.
• Run ad-hoc investigations into metric fluctuations.
• Collaborate with functional leads.
• Investigate bottlenecks and segmentation.
• Validate product hypotheses.
• Data mining for patterns and growth opportunities.
• Prioritize problems with Product by impact.
• Design AB test calculations (sample size, MDE, duration).
• Verify test splits and run sanity checks.
• Report results with guardrail metrics.
• Define data-tracking requirements.
• Maintain the test archive.
• Deliver actionable recommendations from experiments.
• Surface data-quality issues.

Skills

MS SQL

Python

Excel

A/B testing

Marketing metrics

Education

Mathematical or technical higher education

Job description

Social Discovery Group (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:

• REMOTE OPPORTUNITY to work full-time;


• The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment;


• Vacation 28 calendar days per year;


• 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave;


• 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. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children);


• Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years;


• Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc.