Product Data Analyst

Careers; Sheffield; Hybrid; GBP 50,000 - 60,000; Full time

Job summary

Careers is seeking a Product Data Analyst in Sheffield with hybrid working options (1 day in office). You will turn complex data into actionable insights, shaping product strategy and customer growth using advanced analytics, predictive modelling and stakeholder collaboration.

You will build dashboards, analyse journeys, and develop segmentation to inform business decisions within a modern cloud data platform.

Qualifications

• Strong commercial experience in Data Science, Product Analytics, or Advanced Analytics environments.
• Advanced SQL skills with experience querying complex cloud-based data warehouses, ideally including Snowflake.
• Expertise in Python or R for statistical analysis, machine learning, and predictive modelling.
• Experience analysing customer journeys, retention, lifecycle metrics, and behavioural data.
• Ability to communicate technical findings clearly to both technical and non-technical stakeholders.
• Experience with BI and visualisation tools such as Power BI, Tableau, Looker, or similar.
• Familiarity with dbt and modern analytics engineering practices is highly desirable.

Responsibilities

• Analyse end-to-end customer and user journeys to identify adoption trends, engagement drivers, and opportunities for growth.
• Conduct exploratory analysis to uncover product usage patterns, conversion drop-offs, and areas for optimisation.
• Build predictive models focused on areas such as customer churn, engagement scoring, demand forecasting, and propensity modelling.
• Develop customer segmentation and behavioural cohorts to support targeted business initiatives.
• Translate complex business questions into structured analytical frameworks, hypotheses, and actionable recommendations.
• Partner with data engineering teams to ensure analytical requirements are embedded within the wider data platform.
• Design dashboards, reporting solutions, and KPI frameworks that support executive and operational decision-making.

Skills

Data Science

Product Analytics

Advanced Analytics

Advanced SQL

Python

R

Power BI

Tableau

Looker

dbt

Tools

Snowflake

Job description

Product Data Analyst

£50,000-£60,000

Sheffield (1 day a week in office)

If you're passionate about turning complex data into actionable business insights, this is an opportunity to make a tangible impact within a growing technology-led organisation. You'll combine analytical discovery, predictive modelling, and stakeholder collaboration to shape product strategy, improve customer outcomes, and influence key business decisions.

THE COMPANY

They are a growing organisation undergoing an exciting phase of data maturity and digital transformation. Their focus is on leveraging data to enhance customer experiences, inform strategic decisions, and drive sustainable growth. Working within a collaborative environment, you will partner closely with data, product, operations, finance, and commercial stakeholders to unlock value from a modern cloud-based data platform.

THE ROLE

As a Product Data Analyst, you will drive product strategy and customer growth through advanced analytics, customer journey insights, and predictive data science in a modern cloud data environment.

Specifically, you can expect to be involved in the following:

• Analyse end-to-end customer and user journeys to identify adoption trends, engagement drivers, and opportunities for growth.
• Conduct exploratory analysis to uncover product usage patterns, conversion drop-offs, and areas for optimisation.
• Build predictive models focused on areas such as customer churn, engagement scoring, demand forecasting, and propensity modelling.
• Develop customer segmentation and behavioural cohorts to support targeted business initiatives.
• Translate complex business questions into structured analytical frameworks, hypotheses, and actionable recommendations.
• Partner with data engineering teams to ensure analytical requirements are embedded within the wider data platform.
• Design dashboards, reporting solutions, and KPI frameworks that support executive and operational decision-making.

SKILLS AND EXPERIENCE

• Strong commercial experience in Data Science, Product Analytics, or Advanced Analytics environments.
• Advanced SQL skills with experience querying complex cloud-based data warehouses, ideally including Snowflake.
• Expertise in Python or R for statistical analysis, machine learning, and predictive modelling.
• Experience analysing customer journeys, retention, lifecycle metrics, and behavioural data.
• Ability to communicate technical findings clearly to both technical and non-technical stakeholders.
• Experience with BI and visualisation tools such as Power BI, Tableau, Looker, or similar.
• Familiarity with dbt and modern analytics engineering practices is highly desirable.

BENEFITS

• Salary between £50,000 - £60,000 - depending on experience