Data Analyst

🔒 Confidential Employer
Posted 8 May 2026
LOCATION
Bradford
TYPE
Full-time
LEVEL
Mid-Senior level
SALARY
£45,000 / year
CATEGORY
Data & Analytics
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

SQL T-SQL R Microsoft Excel QlikSense Power BI Data Analysis Stakeholder Engagement

FULL DESCRIPTION

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Data Analyst

Full-time, Permanent | Bradford | Hybrid (3 Days Office Based) | £40,000 – £45,000 basic salary

Job Description

Our client is an established B2B IT company based in West Yorkshire. Due to continued growth, they are currently recruiting a Data Analyst to own and deliver daily, weekly, and monthly commercial performance reporting for senior management and sales teams. The successful candidate will be commercially minded, confident engaging with the business, be focused on turning data into actionable insight whilst being proactive, resilient, and improvement-focused.

Key Responsibilities

  • Design, develop, and enhance enterprise-grade reporting and analytical solutions across sales and non-sales functions.
  • Build and maintain automated, scalable analytical models using SQL Server, R, and Microsoft Excel.
  • Develop interactive dashboards and visual analytics in QlikSense to support data-driven decision-making.
  • Lead the migration of legacy Excel-based reporting into modern BI and analytics platforms, improving performance, usability, and governance.
  • Develop and maintain competitor pricing, margin, and market intelligence models using SQL Server, R, and advanced Excel techniques.
  • Collaborate closely with commercial and operational stakeholders to translate business requirements into analytical solutions.
  • Proactively identify opportunities to improve data pipelines, reporting efficiency, and business performance.
  • Continuously improve data quality, data structures, and analytical robustness.
  • High attention to detail and strong focus on data accuracy, governance, and quality assurance.

Skills & Experience

  • Experienced Data Analyst / Scientist, with exposure of Business Intelligence platforms and analytical tooling.
  • Strong stakeholder engagement skills with the ability to communicate analytical insights clearly to technical and non-technical audiences.
  • Solid understanding of relational data models and analytical data structures.
  • Advanced-level SQL / T-SQL skills, including ability to write complex joins, sub queries, views, and performance-aware query design.
  • Intermediate-Advanced Microsoft Excel capability, including ability to create Pivot Tables, Power Query, complex formulas, external data connections and VBA.
  • Proven, hands-on experience with R (or Python) for data analysis, statistical modelling and data transformation.
  • Experience with Qlik Sense or similar BI tools (Power BI, Tableau); formal Qlik training can be provided.

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