Product Data Analyst

Harnham; Sheffield; On-site; GBP 50,000 - 60,000; Full time

Job summary

Harnham is seeking a Product Data Analyst to drive product strategy and customer growth through advanced analytics in a cloud data environment.

You will analyse end-to-end customer journeys, build predictive models for churn and engagement, and create segmentation to support targeted business initiatives, working closely with data engineering and product teams to embed analytical requirements.

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 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 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

Advanced SQL

Python or R

Data analytics

Stakeholder communication

BI/Visualization tools

Education

Bachelor's degree in a related field

Tools

Snowflake

Power BI

Tableau

Looker

dbt

Job description

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

The successful Product Data Analyst will have the following 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

The successful Product Data Analyst twill receive the following benefits:

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