Skills

Communication Python Tableau Data Analysis SQL Statistical Analysis Data Cleaning Data Warehousing A/B Testing Azure AWS Numpy Pandas Analytics GCP

Job Specifications

Product Analyst – Role Summary

New Role: Product Data Analyst (SQL / Experimentation)

£400–£500/day Inside IR35

6-Month Contract

Hybrid - One day in office per week - Central London

Requirements:

- SQL and product analytics expert

- Python for statistical modelling & data cleaning

- A/B testing & experimentation design experience

- Looker or Tableau

- Understanding of ETL / data flows (GCP/AWS/Azure)

- Start ASAP – short interview process.

We are seeking a highly analytical and technically strong Product Analyst to support the development and optimisation of a logistics-focused simulation product, as well as broader experimentation initiatives. This position is ideal for someone who thrives on turning complex datasets into clear, actionable insights that directly influence product direction. You will need hands‑on experience across data tools, experimentation methods, and an understanding of data pipelines.

Key Responsibilities

Product Insights & Performance

Provide analytical support to evaluate product performance.
Define, track, and report on key product KPIs to measure product health and the impact of new releases.

Experimentation & Statistical Analysis

Design, implement, and analyse experiments across features and user journeys.
Formulate hypotheses, select appropriate statistical techniques, and clearly communicate findings and recommendations to cross‑functional stakeholders.

Data Analysis & Reporting

Develop and optimise complex SQL queries to extract and transform data from large, varied datasets.
Use Python (e.g., pandas, NumPy, statistical libraries) for data cleaning, modelling, and advanced analysis.
Build and maintain dynamic dashboards and visualisations in tools such as Looker or Tableau to track product and business performance.

Data Infrastructure & ETL

Demonstrate comfort navigating and troubleshooting ETL pipelines to ensure high‑quality, reliable data.
Collaborate with engineering teams to define and implement tracking requirements for new product features.

Strategic Input

Work closely with Product Managers, Engineers, and UX/UI teams to shape the product roadmap using quantitative insights.
Present analysis and recommendations in a clear and compelling manner.

Required Skills & Experience

4+ years’ experience in a Product Analyst or analytics‑focused role.
Expert-level SQL skills for working with large datasets.
Hands‑on experience with Python for statistical and analytical tasks.
Strong background in experimentation, including hypothesis design, sample sizing, statistical significance, and results interpretation.
Experience with cloud data platforms (AWS, GCP, or Azure) and distributed data processing.
Proficiency with data visualisation and reporting tools such as Looker or Tableau.
Familiarity with ETL concepts and data warehousing best practices.
Excellent communication skills, with the ability to translate complex analysis into clear insights.