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Reporting & Analytics Lead

Job in Cincinnati, Hamilton County, Ohio, 45208, USA
Listing for: GloPros
Full Time position
Listed on 2026-09-14
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, IT Business Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

Our client, a leading FMCG manufacturer, is seeking a Reporting & Analytics Lead to own the business reporting layer in a post-go-live SAP S/4

HANA estate — from business question, to report or dashboard, to actual adoption — together with the master data quality that reporting depends on. This is the most cross-functional role in the portfolio: every domain's process changes generate a reporting requirement, and you are the one who turns them into trusted numbers. The role is tool-agnostic — what matters is delivery discipline, not a specific BI stack.

Key Responsibilities
  • Own the reporting demand funnel: capture business questions from Supply Chain, Finance, Commercial, and Warehouse, shape them into specified reporting requirements, and prioritize the queue.
  • Deliver reports and dashboards on SAP S/4

    HANA data — directly or with IT delivery teams — and drive genuine adoption, including self-service enablement and training.
  • Own report rationalization: retire duplicates, establish single definitions for shared KPIs, and maintain a documented report catalog.
  • Guard the master data quality that reporting depends on: surface data-quality issues, quantify their reporting impact, and drive remediation with the data owners.
  • Validate delivered reporting through structured business testing before release.
What We're Looking For
- Essential
  • 12+ years in business reporting, BI delivery, or analytics roles close to operations.
  • Experience reporting on SAP data in an S/4

    HANA (or comparable SAP) estate — you know where the data lives and how it can mislead.
  • End-to-end delivery: requirement to dashboard to adoption, including self-service enablement.
  • Master data and data quality literacy — able to trace a wrong number back to its source.
  • FMCG/CPG or distribution industry background.
  • Experience with in an ERP transformation or post-go-live stabilization phase.
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