Senior Data Analyst

Before reading this role requires onsite in Leeds 3 days a week, you MUST be already based within a commutable distance of our Leeds HQ -

The Senior Data Analyst is responsible for transforming raw data into meaningful insights that inform and enhance organisational decision‑making. This includes developing high‑quality reports, dashboards, and analytical outputs that support data‑driven operations across the organisation. In addition, the role may involve working closely with stakeholders, management, and department leaders to execute large‑scale data changes while ensuring data integrity, consistency, and overall quality are maintained.

• Design, build, and maintain dashboards and BI assets (primarily in Power BI).
• Create meaningful business insights from raw data and communicate findings effectively.
• Build innovative analytical approaches to solve business problems and share methodologies with stakeholders.
• Generate reports from single or multiple systems to support business needs.
• Develop new data models and optimise existing ones to enhance reporting accuracy and speed. SQL, Data Modelling & Data Quality
• Write robust SQL to support reporting, data transformations, modelling, and problem solving.
• Support and maintain the Data Warehouse by identifying and revising source data quality issues.
• Perform data integrity gap analysis to identify key problem areas and assist with root cause analysis.
• Audit data regularly to ensure integrity, consistency, and quality.

• Coordinate and perform mass data changes, developing queries to solve data discrepancies and supporting the business in executing large‑scale data updates.
• Provide data and application support for existing and future systems, initiatives, acquisitions, and upgrades.
• Champion self‑service BI through stakeholder training, enablement, and documentation.
• Provide coaching, training, and best‑practice guidance to colleagues on BI tools and data literacy.

• Leads the development and maintenance of dashboards, reports, and analytical models used across the organisation.
• Manages complex data investigations, data quality assessments, and multi‑source analysis.
• Works cross‑functionally to understand data needs, develop solutions, and enable insight‑driven decision‑making.
• Supports and improves data governance, documentation, and reporting standards.
• Provides guidance and coaching to junior team members and business users.
• Coordinate and perform mass data changes by developing queries to solve data related discrepancies and assist the business to perform mass change.
• Develop documentation and how to guides to support established processes and service level agreements.
• Assist in assessing and implementing new or upgraded software systems and contribute to strategic tooling decisions.
• Works under general supervision with substantial autonomy.

• Advanced SQL skills and experience building data models from scratch.
• Demonstrated proficiency in BI tools Power BI, SSRS/Report Builder or Tableau.
• Strong ability to translate business requirements into scalable analytical solutions.
• Experience supporting multiple departments and iterating on outputs.
• Strong commercial mindset with the ability to understand the "why" behind the data.
• Experience maintaining data integrity, performing data audits, and conducting gap analysis.
• Experience supporting mass data changes and production data updates.
• MUST BE BASED COMMUTABLE OF LEEDS - 3 DAYS A WEEK ONSITE
• Exposure to Generative AI tools e.g. Copilot Studio or similar.
• Experience with programming languages used for Data Science e.g. Python, R or similar
• Experience improving or designing self‑serve analytics environments.
• Knowledge of modern cloud data platforms e.g. MS Fabric, Databrick, Snowflake or similar.
• Familiarity with ETL/integration tools e.g. SSIS, ADF, Logic Apps, Informatica or similar.
• Source Code Management e.g. Microsoft Devops or similar.