Temporary

Data and Analytics Analyst

Manpower UK
Kingston upon Thames, KT2 5EB
money-bag £42000 - £52500 per annum + .
Posted: 15 July 2026 (Today)
Closing date: 13 August 2026
Ref: BBBH439498

About the Role

Manpower UK is seeking an interim Data and Analytics Analyst for a 6-month temporary contract based in Kingston upon Thames. This full-time position, working 36.25 hours weekly, is with a global FMCG client renowned for ice cream brands. The role offers a competitive salary of up to £52,500 per annum, pro rata, depending on experience, with a hybrid working model. The analyst will unlock value from wholesaler sales information, requiring strong analytical skills and proficiency in handling commercial datasets. This position demands someone who can translate numbers into actionable business insights, supporting decision-making within a well-known consumer goods environment.

Manpower are currently seeking an interim Data andamp; Analytics Analyst to work with our global FMCG client The Magnum Ice Cream Company, renowned for brands such as Magnum, Ben andamp; Jerry''s, Cornetto and Wall''s, and become an integral part of their fast-paced FMCG environment.

The position is based in Kingston upon Thames, Surrey. This is a full-time temporary role to run for 6 months, requiring 36.25 hours per week, Monday to Friday. Compensation for this role is competitive paying up to £52,500 per annum, pro rata, depending on experience.

The role currently offers a mix of remote and onsite working, subject to adjustment based on business requirements.

Data andamp; Analytics Analyst - Wholesaler Sales

We''re looking for a Data andamp; Analytics Analyst to unlock the value of wholesaler and customer sales data across Magnum''s UK business.

You will play a critical role in connecting multiple wholesaler data sources, working with Databricks and pipelines and transforming raw sales data into clear, actionable insights. This includes enabling visibility on sell-in, sell-out, distribution, range, and performance across wholesale partners.

You will work closely with data engineers to ensure data is ingested, structured, and ready for analysis, while acting as a Power BI super user to deliver dashboards that drive commercial decisions across sales, account management, and operations.

Key Responsibilities

Connect andamp; Integrate Wholesaler Data

  • Connect and visualise multiple wholesaler sales data sources (including but not limited to EPOS, shipment/sell-in, CRM, partner data)
  • Work with Databricks to query, review and report on large-scale sales datasets
  • Connect to and leverage data pipelines to access reliable, up-to-date wholesaler data
  • Partner with data engineers to onboard new wholesale partners and data feeds
  • Ensure consistent, accurate mapping of SKU, customer and channel data

Data Ingestion andamp; Pipeline Collaboration

  • Support and advise on data ingestion processes for wholesaler and partner data to ensure you have the information required for reporting usage
  • Validate and sense-check incoming data to ensure accuracy and completeness
  • Help ensure data pipelines deliver timely, structured, analysis-ready datasets

Data Visualisation andamp; Commercial Insights

  • Act as a Power BI super user, building dashboards focused on wholesale performance and sales performance
  • Deliver reporting on key commercial metrics (e.g. sales trends, distribution, range compliance, customer performance)
  • Create intuitive data visualisations for sales and account teams
  • Translate complex sales data into clear insights and actions
  • Maintain and improve existing dashboards to meet business needs
  • Identify opportunities to utilise new technology to present data in the best way
  • Strong commercial experience designing and implementing Power BI solutions.
  • Proven expertise in data modelling, data transformation and report development.
  • Experience creating dashboards, data visualisations and management information reporting.
  • Strong understanding of KPI and OKR reporting frameworks
  • Enable self-serve analytics for commercial teams

Set Us Up for Success

  • Support scalable solutions that accommodate new

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