Data Analyst

Ronald James Group; Newcastle upon Tyne; On-site; GBP 35,000 - 55,000; Full time

Job summary

Ronald James Group is seeking a Data Analyst to turn data from across the business into clear, actionable insights. You’ll own reporting and dashboarding, support teams across Marketing, e-commerce, Sales and Operations, and help stakeholders use data confidently to make better decisions.

This business-facing analytics role involves collaboration with the wider data team to ensure reporting is accurate, consistent and based on trusted data.

Qualifications

• Experience turning data into actionable insights.
• Ability to create and maintain dashboards and reports.
• Confidence working with non-technical stakeholders.

Responsibilities

• Build, maintain and improve dashboards and reports using a BI platform.
• Help stakeholders self-serve insights and use data confidently.
• Ensure reporting is accurate, well documented and aligned with definitions.
• Automate recurring reporting and reduce manual data processes.
• Partner with Marketing, e‑commerce, Sales and Ops to answer commercial questions.
• Analyse campaign performance, ROAS, CPA, customer acquisition and lifetime value.
• Monitor key KPIs, identify trends and translate findings into recommendations.
• Support pricing, promos, forecasting and ad-hoc analysis.
• Identify and investigate data quality issues with the data team and owners.
• Own and document reporting logic and KPIs to improve consistency.
• Shape trusted datasets and data models for reporting and analysis.
• Validate dashboards to keep outputs accurate.

Skills

SQL

Data analysis

Dashboarding

Stakeholder comms

Excel/Sheets

BI platform knowledge

Tools

Looker

Omni

Job description

We’re looking for a Data Analyst to turn data from across the business into clear, actionable insights. You’ll take ownership of reporting and dashboarding, support teams across Marketing, e-commerce, Sales and Operations, and help stakeholders use data confidently to make better decisions. This is a business-facing analytics role where you’ll work closely with stakeholders across the organisation and collaborate with the wider data team to ensure reporting is accurate, consistent and based on trusted data.

Some of the responsibilities:

• Build, maintain and continually improve dashboards and reports using a BI and analytics platform.
• Help stakeholders self-serve insights and use data confidently.
• Ensure reporting is accurate, well documented and based on consistent definitions.
• Automate recurring reporting and reduce unnecessary manual data processes.
• Partner with Marketing, e-commerce, Sales and Operations to understand performance and answer commercial questions.
• Analyse campaign performance, ROAS, CPA, customer acquisition, sales, customer behaviour, segmentation and lifetime value.
• Monitor key business KPIs, identify trends and risks, and translate findings into clear recommendations.
• Support pricing, promotional, forecasting and other ad-hoc commercial analysis.
• Identify and investigate data quality issues, gaps and discrepancies, working with the wider data team and system owners where technical fixes are required.
• Own and document reporting logic, business definitions and KPI definitions to improve consistency across teams.
• Help shape trusted datasets and data models for reporting and analysis.
• Validate dashboards and reporting outputs to ensure they remain accurate and useful.

Some of the requirements:

• Commercial experience in a Data Analyst, Business Intelligence or similar analytics role.
• Strong SQL skills and confidence working directly with data.
• Experience building dashboards and reports using a BI or analytics platform.
• Strong analytical skills with the ability to turn data into clear, actionable insights.
• Good Excel or Google Sheets skills for analysis and modelling.
• Strong communication skills and confidence working with non-technical stakeholders.
• Good organisation and attention to detail, with the ability to prioritise competing business questions.
• Experience with Omni, Looker or a similar self-service BI platform would be beneficial.
• Experience analysing marketing, e-commerce, subscription or customer data would be advantageous.
• An understanding of modern data warehouses and ETL/ELT concepts would be beneficial.
• Experience working within a fast-paced or founder-led business would be useful.
• Experience within fitness, health, supplements or lifestyle brands would be advantageous.