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Product Analyst

Find the ideal freelance Product Analyst with zoulloo

Analyse the performance of your digital products through data. Our freelance Product Analysts collect, interpret and transform user data into strategic recommendations that drive user experience, engagement and product growth.

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Freelance Product Analysts from the zoulloo community analysing user data to generate insights that enhance experience, engagement and growth.

Many businesses have already hybridised their teams with top freelance talents

A Product Analyst masters advanced tools for data exploration and visualisation, working closely with Product, Data, Growth and UX Research teams to propose evidence-based optimisations. As a freelancer, they bring an external perspective and specialised expertise that help companies make data-informed decisions.

Definition of the freelance Product Analyst role

A Product Analyst is an expert in advanced data analysis applied to digital products (websites, mobile apps, SaaS platforms, etc.). Their work goes beyond traditional metrics, using statistical models, predictive analysis and behavioural insights to optimise product performance and maximise business impact.

Drawing on multiple data sources (event tracking, server logs, user feedback, quantitative and qualitative studies), they identify levers to improve user experience, conversion rates and retention.

Typical tasks and responsibilities

A freelance Product Analyst contributes to a wide range of strategic and analytical projects:

  • Data collection and structuring
    • Define and implement analytics tracking with tools like Google Tag Manager, Segment, RudderStack or Snowplow.
    • Aggregate and transform data via BigQuery, Snowflake or dbt to ensure a scalable, reliable infrastructure.
  • Qualify and enrich data using data quality models (anomaly detection, automated log cleaning, cross-source validation)
    • Behavioural analysis and performance modelling
    • Conduct cohort and lifetime value (LTV) analysis to assess retention and churn.
    • Implement user segmentation (clustering, PCA, etc.) to personalise journeys and recommendations.
    • Detect friction points and cognitive biases affecting UX by combining quantitative and qualitative insights (heatmaps, user recordings, interviews).
  • Continuous optimisation and experimentation
    • Design and deploy A/B tests.
    • Develop predictive models to anticipate user behaviour and automate decisions.
    • Collaborate with product and engineering teams to implement data-driven recommendations.
  • Reporting and data visualisation
    • Build interactive dashboards with Looker, Tableau or Power BI for various audiences (C-level, Product, Growth, etc.).
    • Define KPI frameworks including advanced metrics (DAU/WAU/MAU ratio, retention curve analysis, net revenue retention).
    • Automate reporting through Airflow, Prefect or dbt for real-time insight delivery.

Example projects handled by freelance Product Analysts

Conversion funnel optimisation for a B2B marketplace

Objective: Identify friction points within the conversion funnel and propose data-backed adjustments to maximise conversion rates.

Defining engagement KPIs for a new mobile app

Methodology: Implement a user segmentation model distinguishing early adopters from late adopters to identify activation and retention drivers.

Measuring the impact of a UX redesign on product performance

Approach: Conduct a pre- and post-redesign comparative analysis to measure changes in user behaviour and guide strategic decisions.

How to brief a freelance Product Analyst effectively

A clear brief helps attract the right expert and ensure smooth collaboration. Key elements to include:

  • Product context: type of application, target audience and business challenges.
  • Available data: analytics tools in use and accessible data sources.
  • Current issues: conversion rates, user engagement, churn, etc.
  • Expected outcomes: funnel optimisation, activation increase, improved segmentation.
  • Collaboration mode: specify whether full-time or part-time, remote or on-site, integrated with existing teams.

What training is required to become a Product Analyst ?

The Product Analyst role requires a dual expertise in data analysis and product strategy. Typical educational paths include:

  • Engineering schools or Master’s degrees in Data Science (e.g. Centrale, ENSAE, EPITA, Télécom Paris, Ensimag).
  • Master’s in Business Analytics or Digital Strategy (HEC, ESSEC, Dauphine, Sciences Po, etc.).
  • Training in analytics tools and SQL (Google Analytics, Amplitude, Tableau, Python, etc.).

Continuous learning is essential to stay up to date with evolving tools and methodologies in product analytics.

Find a freelance Product Analyst with zoulloo

At zoulloo, we make it easy to connect with top-tier Product Analysts. Through our platform, you can find highly qualified professionals, rigorously assessed across 200+ technical and interpersonal criteria. Join us to collaborate with experts who turn data into strategic product insights.

With a meticulous selection process combining human expertise and technology, zoulloo connects you with specialists perfectly aligned with your needs.

The zoulloo community brings together market research and data experts, fostering cross-disciplinary collaboration and innovation.

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