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Salary: 
£50,000
- £60,000
Location: Leeds, Yorkshire & the Humber
Our Reference: MV13659
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Key Details

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Contact Alice 
about this role.
07494 454 777
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Thank you for taking an interest in the role advertised. We'd like to confirm that each CV received is read thoroughly by a trained consultant; if your application is shortlisted then you will be contacted via telephone in the first instance. 

If we have not contacted you within 5 working days of your application, please understand that the CV received, and the information provided does not meet the requirements of the role. 

However, we endeavour to consider all applicants for future opportunities; should you wish to speak to the named consultant about your application, please contact us directly.

Lead Data Analyst

  • Location: Leeds
  • Working Style: Hybrid Working (up to 2 days at home)
  • Salary: £50,000 - £60,000 pa DOE
  • Benefits: Employee Assistance Programme (EAP) | Free On-site Parking | Regular Free Lunches & Company Socials | Birthday off work | Access to discounted holiday travel booking and dining
  • Essential Requirements: Experience working with marketing / eCommerce datasets.

Due to the nature of our roles, candidates must be a UK resident residing within commutable distance to Leeds. Please note that we cannot offer visa sponsorship for overseas candidates.

We’re searching for a highly skilled Lead Data Analyst to take ownership of our client’s established Data Analytics team and drive the evolution of their data services offering.

This is a hands-on role working closely with clients on a diverse range of projects and data across marketing performance, sales, e-commerce, inventory and operations, using tools such as Power BI and Google Sheets to bring data to life in a way that’s intuitive, engaging and valuable to a diverse range of stakeholders.

Roles & Responsibilities

  • Team Leadership & Development: Lead & coach the Data Analytics team, supporting professional development, encouraging knowledge sharing, and maintaining a positive working environment.
  • Client Relationship Management: Build strong relationships with key clients and internal stakeholders, acting as a trusted advisor to understand business objectives, define KPIs, and translate challenges into effective reporting and analytics solutions.
  • Power BI Development & Insight Delivery: Design, build, and maintain intuitive & white-labelled Power BI dashboards & reports, presenting insights, recommendations, and reporting solutions to both technical and non-technical stakeholders.
  • Data Integration, Modelling & Analytics: Extract, transform, and consolidate data from a variety of sources, building scalable data models and advanced DAX calculations to support KPI reporting, trend analysis, and business performance measurement.
  • Data Governance, Security & Compliance: Maintain and develop data governance standards, ensuring data accuracy, consistency, security, compliance, and the effective management of Power BI workspaces and Row-Level Security (RLS).
  • Data Quality Assurance: Monitor reporting environments, troubleshoot data issues, oversee scheduled refreshes, and ensure the highest standards of reporting accuracy across all client projects.
  • Continuous Improvement: Identify opportunities to enhance reporting processes, methodologies, and analytical capabilities, helping to shape and strengthen the overall data service offering.

Skills & Experience

  • Previous experience as a Lead Data Analyst, Senior Data Analystor similar is essential.
  • Leadership / Management experience, including coaching, mentoring, and developing a team.
  • Experience working with marketing / eCommerce datasets is essential.
  • Experience working within a Marketing Agency, Digital Agency, or Marketing Consultancy is preferred.
  • Advanced expertise in Power BI Desktop & Service, Power Query (M), complex DAX, data modelling, workspace administration, and report deployment.
  • Strong SQL skills, with experience querying, transforming, and consolidating data from multiple data sources.
  • Excellent communication and stakeholder management skills, with the ability to translate complex technical concepts into clear, actionable business insights for clients and colleagues.
  • Strong understanding of data governance, reporting accuracy, security, and best practice,
  • Excellent attention to detail and the ability to manage multiple projects simultaneously.
  • Experience with Google BigQuery, Azure, Python, R, or a broader understanding of business functions such as sales, inventory, operations, and financial KPI reporting would be highly advantageous.

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