Data Insight Analyst

Compass Group PLC; Birmingham; On-site; GBP 55,000 - 75,000; Full time

Job summary

A leading food services and support services organization is seeking a Senior Data Insight Analyst based in Birmingham, UK. In this pivotal role, you will create high-impact insights, develop sophisticated analytical models, and work collaboratively with senior stakeholders across finance and retail sectors. Your expertise in SQL and Power BI will contribute significantly to strategic decisions that enhance profitability and operational efficiency, making this a critical role within the organization.

Qualifications

• 10+ years working with finance, retail, pricing, or facilities management data.
• Strong technical skills in SQL, Power BI, and financial data modelling.
• Proven ability to partner with senior stakeholders across multiple sectors.

Responsibilities

• Lead the creation of high-value insights across key data domains.
• Build sophisticated analytical models to support strategic decision-making.
• Act as the go-to insight partner for business teams.

Skills

SQL

Power BI

Financial data modelling

Data analysis

Tools

Databricks

Excel

Job description

This is not just about crunching numbers - it's about shaping decisions that drive performance, profitability, and growth across multiple sectors. If you're passionate about turning complex data into clear, actionable insight, this could be the perfect next step in your career.

Why this role matters

As a Senior Data Insight Analyst, you'll play a pivotal role in helping leaders understand performance, optimise margins, and spot opportunities for efficiency and growth. You'll be building robust models, designing dashboards, and telling compelling stories with data that influence senior stakeholders. You'll work across diverse sectors-finance, retail, pricing, and facilities management-giving you exposure to a wide range of challenges and the chance to make a tangible impact in different parts of the business.

What you'll be doing

• Insight & Analysis
  • Lead the creation of high-value insights across key data domains.
  • Build sophisticated analytical models to support strategic decision-making.
  • Translate complex datasets into clear, compelling narratives for senior leaders.
  • Spot trends, risks, and opportunities that guide business action.
• Stakeholder Partnership
  • Act as the go-to insight partner for business teams.
  • Collaborate with Directors, Heads of, and operational leaders to shape analytical needs.
  • Support the adoption of dashboards, reports, and data products.
• Cross‑Functional Collaboration
  • Partner with Business Intelligence leads to ensure consistent reporting across sectors.
  • Work with Data Governance teams to deliver trusted, standardised finance data.
  • Champion a "single version of the truth" for finance reporting.
• Data Products & Dashboards
  • Contribute to the design and enhancement of dashboards and reporting tools.
  • Ensure outputs are accurate, consistent, and aligned with finance standards.
  • Collaborate with data engineering and product teams to refine pipelines and KPIs.
• Technical Excellence
  • Develop solutions using SQL, Power BI, Databricks, and Excel modelling.
  • Own and maintain core financial concepts (P&L, productivity, margins).
  • Champion self‑service tools and scalable solutions.
• Continuous Improvement
  • Identify opportunities to streamline processes and reporting.
  • Mentor analysts across the wider data and finance community.

Qualifications

• Strong technical skills in SQL, Power BI, and financial data modelling.
• Experience working with enterprise data models or governed domains.
• 10+ years working with finance, retail, pricing, or facilities management data.
• Proven ability to partner with senior stakeholders across multiple sectors.
• Excellent communication skills—you can influence decisions and shape financial narratives.
• Highly organised, outcome‑focused, and comfortable working in cross‑functional teams.

What success looks like

• Increased adoption of dashboards and self‑service tools.
• Improved forecasting accuracy and operational performance.
• Reduced manual reporting across sectors.
• Strong stakeholder satisfaction.
• Tangible business decisions influenced by your insights.