Data and Analytics Analyst

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 requires 36.25 hours per week, Monday to Friday, and is with a global FMCG client renowned for its ice‑cream brands, including Magnum, Ben & Jerry’s, Cornetto and Wall’s.

Overview

The role offers a competitive salary of up to £52,500 per annum, pro rata, depending on experience. It uses a hybrid working model, with a mix of remote and on‑site working subject to business requirements. The analyst will unlock value from wholesaler sales information, translating numbers into actionable business insights to support decision‑making within a well‑known consumer goods environment.

Key Responsibilities

• Connect and integrate wholesaler data from multiple sources (including EPOS, shipment/sell‑in, CRM, partner data).
• Work with Databricks to query, review and report on large‑scale sales datasets.
• 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.
• Support and advise on data ingestion processes for wholesaler and partner data to ensure reporting usage.
• Validate and sense‑check incoming data to ensure accuracy and completeness.
• Deliver reporting on key commercial metrics (e.g., sales trends, distribution, range compliance, customer performance).
• Create intuitive data visualisations for sales and account teams.
• Maintain and improve existing Power BI dashboards to meet business needs.
• Identify opportunities to utilise new technology to present data in the best way.
• Act as a Power BI super user and enable self‑serve analytics for commercial teams.
• Support scalable solutions that accommodate new data sources and analytical requirements.

Qualifications

• 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.
• Ability to translate complex sales data into clear insights and actions.
• Excellent analytical skills and proficiency in handling commercial datasets.
• Experience working with Databricks and large‑scale sales data is desirable.

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