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.

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.

• 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.

• 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.