Insight Analyst
Role Overview
Permanent, full-time Insight Analyst position in The AA’s Chief Data & Analytics Office.
Use complex data to inform business decisions, customer experience, and commercial performance.
Work alongside analysts, data scientists, and BI specialists on analytical projects and insight-led data products.
Key Skills for This Role
Full Job Posting
Location and working arrangement
- The role is based in Basingstoke with hybrid working and three office days per week.
Role overview
Permanent, full-time Insight Analyst position in The AA’s Chief Data & Analytics Office.
Use complex data to inform business decisions, customer experience, and commercial performance.
Work alongside analysts, data scientists, and BI specialists on analytical projects and insight-led data products.
Key responsibilities
- Explore large and complex datasets using SQL and Python or R to identify trends, investigate challenges, and find improvement opportunities.
- Work with business stakeholders to clarify objectives and analytical requirements and translate questions into structured analysis.
- Communicate findings and evidence-based recommendations to support informed decisions.
- Use exploratory analysis, statistical techniques, and foundational modelling to investigate patterns and support predictive insights.
- Collaborate with analysts, data scientists, BI developers, and data engineers on projects, data products, and underlying data quality.
- Own assigned deliverables, manage stakeholder expectations, document work, and contribute to continuous improvement.
What you will bring
- Practical SQL experience querying, joining, manipulating, and analyzing complex datasets.
- Hands-on Python or R experience for data manipulation, exploration, and analysis.
- Stakeholder experience translating business challenges into analytical activity.
- Business-focused analytical experience supporting decisions in commercial or operational contexts.
- Working knowledge of statistical methods and foundational modelling such as regression, classification, or clustering.
- Experience assessing data quality and interpreting analytical outputs.
- Clear communication and influencing skills to explain findings and recommendations to varied audiences.
Additional information
- The posting mentions an annual bonus opportunity; no salary amount or salary cadence is specified.
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