Insight Analyst - Data-Driven Retail Analytics (Hybrid)

Retail Insight; Leeds; Hybrid; GBP 40,000 - 60,000; Full time

Benefits offered by this job

Hybrid work model

Learning & Development

Private Medical Insurance

Volunteer days

Job summary

Retail Insight is seeking an Insight Analyst to join our Client Analytics team in a hybrid Leeds/London role. You will work with large datasets using SQL, Python or R, and create dashboards in Tableau or Power BI to drive data-driven decisions for leading retailers.

You will own analytical projects, translate complex findings into actionable recommendations, and collaborate with client teams to understand their challenges.

Qualifications

• 2–3 years of experience in data analysis or a similar analytical role.
• Strong SQL skills with experience querying large datasets.
• Proficiency in Python or R for analytical work.
• Experience creating clear, meaningful dashboards in Tableau/Power BI.

Responsibilities

• Query, extract and analyse large datasets using SQL.
• Apply analytical and statistical techniques with Python or R.
• Develop clear reports, dashboards and visualisations using Tableau or Power BI.
• Own analytical projects from problem understanding to delivering insights.
• Translate findings into commercially relevant recommendations for clients.
• Present analytical findings to technical and non-technical audiences.
• Collaborate with Client Analytics and cross-functional teams.
• Mentor junior analysts and share best practices.
• Explore new analytical approaches and tools to improve impact.
• Spend time with clients to validate findings and strengthen recommendations.

Skills

SQL skills

Python or R

Data visualization tools

Analytical thinking

Communication to non-technical

Stakeholder management

Independent worker

Education

Quantitative degree

Tools

Tableau

Power BI

SQL tooling

Job description

Retail Insight is seeking an Insight Analyst to join our Client Analytics team in a hybrid Leeds/London role. You will work with large datasets using SQL, Python or R, and create dashboards in Tableau or Power BI to drive data-driven decisions for leading retailers.

You will own analytical projects, translate complex findings into actionable recommendations, and collaborate with client teams to understand their challenges.