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Data Analytics & Reporting Lead - Trade Promotion Management (TPM) at Project Blackbook LTD

, , United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

16 May, 26

Salary

420.0

Posted On

15 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Reporting, Trade Promotion Management, TPM, AI, Scoping, Business Requirements, Operational Reporting, Data Quality, Data Governance, Compliance, Data Engineering, Data Management

Industry

Business Consulting and Services

Description

Role: Data Analytics & Reporting Lead - Trade Promotion Management (TPM) Consulting Seniority: Consultant - Manager Day rate: £300-£420/day (Outside IR35) Project duration: 3 months (likely extension) Location: Remote with occasional on-site in London We are supporting an exciting strategy and technology consultancy requiring a Data Analytics & Reporting Lead with TPM experience. The role focuses on coordinating and optimising the delivery of data-driven insights while advancing AI capabilities for a large FMCG client. We’ve a preference for you to apply directly via our website as the consultancy will eventually view your profile in our platform. If you are already in the community, feel free to quickly apply here but no need to re-apply directly. Tasks Lead the scoping and business requirements for any reporting required for operational reporting for the markets Lead the end-to-end lifecycle of the reporting and other technical activities, overseeing technical and business teams efforts Ensure regional data quality, governance, and compliance with global standards Requirements An independent consultant Experience with Trade Promotion Management (TPM) FMCG (Fast Moving Consumer Goods) or CPG (Consumer Packaged Goods) experience 3+ years experience in large data and business transformations 5+ years experience in data analysis, data engineering, data management, data quality, AI, and/or similar technical topics

Responsibilities

The role involves leading the scoping and business requirements for operational reporting across various markets and overseeing the end-to-end lifecycle of reporting and technical activities. This includes ensuring regional data quality, governance, and compliance with global standards while advancing AI capabilities.