Data Scientist, Product & Growth Analytics

Medal.tv; York and North Yorkshire; On-site; GBP 60,000 - 90,000; Full time

Job summary

Medal.tv is seeking a data-savvy analytics leader to own the end-to-end measurement strategy, instrumentation, and KPI reporting. You will design experiments, optimize multi-test pipelines, and partner with product and business leadership to turn data into strategy.

You will evangelize analytics, build data scaffolding with engineers, and publish insights that influence pricing, product roadmap, and growth initiatives. Strong SQL, Python, and statistical skills are essential.

Qualifications

• 3–5 years of experience managing and researching product analytics.
• Master’s degree in statistics or a related field is preferred.
• Experience with event-level data at consumer scale and data warehouse tooling.

Responsibilities

• Design and analyze experiments end-to-end, including sample size, guardrails, control configuration, and readouts.
• Configure test structures to yield the right information and manage multi-test pipelines.
• Hunt for opportunities in data to inform strategy and business decisions.
• Communicate risks and tradeoffs in measurement vs. shipping velocity and evangelize data across teams.
• Contribute insights during planning and roadmapping and support pricing analytics where needed.

Skills

SQL

Python

R

Experiment design

Causal inference

Data storytelling

Data visualization

Cross-functional collaboration

Education

Master’s degree in statistics or related field

Tools

BigQuery

Snowflake

Airflow

Tableau

Amplitude

Job description

Medal.tv is seeking a data-savvy analytics leader to own the end-to-end measurement strategy, instrumentation, and KPI reporting. You will design experiments, optimize multi-test pipelines, and partner with product and business leadership to turn data into strategy.

You will evangelize analytics, build data scaffolding with engineers, and publish insights that influence pricing, product roadmap, and growth initiatives. Strong SQL, Python, and statistical skills are essential.