Social Discovery Group Logo

Social Discovery Group

Senior Product Analyst

Posted 2 Days Ago
In-Office or Remote
Hiring Remotely in United Kingdom
Senior level
In-Office or Remote
Hiring Remotely in United Kingdom
Senior level
Own and evolve product metrics, investigate anomalies and conversion bottlenecks, validate hypotheses, and identify growth opportunities. Design, monitor, and analyze A/B tests, including sample sizing, randomization, guardrail metrics, tracking requirements, and actionable recommendations. Partner with Product and functional leads to prioritize high-impact problems, maintain metric definitions and experiment archives, and proactively identify data-quality issues.
The summary above was generated by AI

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. 

Sounds good? Join us now!

Similar Jobs

An Hour Ago
Remote
Senior level
Senior level
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Lead design and delivery of scalable ML systems across the full lifecycle for recommendations, forecasting, targeting, and personalization. Collaborate with engineers and product teams, set modeling and productionization standards, mentor data scientists, guide architecture and experimentation, and apply cloud and MLOps best practices to drive measurable product and business impact.
Top Skills: AthenaAWSBedrockCi/CdDynamoDBGlueLlm Fine-TuningMl Ops FrameworksPythonPyTorchRlhfSagemakerScikit-LearnSQLTensorFlowVersion Control
An Hour Ago
Remote or Hybrid
Senior level
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Lead Cloudflare's Canadian Customer Engineering organization to improve technical win rates, deal quality, and customer outcomes. Build and scale teams, embed AI-assisted execution and automated evaluation into sales engineering workflows, coordinate cross-functionally, influence product roadmaps for serverless and AI-driven security, and manage partner ecosystems.
Top Skills: AIAi-Assisted Architecture PlatformsApplication Security FrameworksAutomated Escalation FrameworksAutomated Evaluation PipelinesCloud SecurityOpencodePaasSaaSSaseServerlessWindsurfZero Trust
An Hour Ago
Remote
Senior level
Senior level
Fintech • Financial Services
Lead end-to-end data science initiatives: design, deploy, and monitor ML/statistical models for credit risk, pricing, collections and fraud. Collaborate cross-functionally to integrate models into production, define model development standards, mentor team members, and maintain scalable ML pipelines and monitoring systems to drive measurable business impact.
Top Skills: ArizeAWSDatabricksGitMetaflowPythonSagemakerSnowflakeSQLTaktileTecton

What you need to know about the Edinburgh Tech Scene

From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account