Insight Analyst: Retail Analytics & Data Viz

Retail Insight

Greater London

Hybrid

GBP 42,000 - 66,000

Full time

6 days ago
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Benefits offered by this job

Flexible Working
Annual Leave 25 days
Learning & Development
Health & Wellbeing
Volunteer days
Car purchase scheme

Job summary

Retail Insight in London is seeking an experienced Insight Analyst to turn complex data into clear, actionable business insights for leading retailers and CPG brands. This hands-on role combines technical analysis with commercial thinking, requiring you to work with Client Analytics, Engineering and client teams.

You will travel to client sites, present findings to non-technical audiences, and translate data into strategic recommendations.

Qualifications

  • Three+ years in data analysis, insight or related analytical role.
  • Proven ability to deliver complex analytical projects and translate findings into business recommendations.
  • Proficiency with SQL and BI tools (Tableau/Power BI).
  • Strong statistical analysis knowledge and ability to apply advanced techniques.

Responsibilities

  • Conduct complex data analyses to identify trends and opportunities.
  • Apply statistical modelling, predictive analytics and ML where appropriate.
  • Own analytical projects from scope to final recommendations.
  • Translate findings into clear, commercially relevant recommendations for clients and stakeholders.
  • Present complex information clearly to non-technical audiences.
  • Collaborate with Client Analytics, Engineering and client teams to ensure high-quality insights.

Skills

Strong SQL
Tableau
Power BI
Statistical analysis
Data visualization
Communication skills

Education

Bachelor's degree in a quantitative field

Job description

Retail Insight in London is seeking an experienced Insight Analyst to turn complex data into clear, actionable business insights for leading retailers and CPG brands. This hands-on role combines technical analysis with commercial thinking, requiring you to work with Client Analytics, Engineering and client teams.

You will travel to client sites, present findings to non-technical audiences, and translate data into strategic recommendations.

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