Manager – Reporting & Analytics
Employment Info
JOB DETAILS
Requirements
- 5–8 years of progressive experience in data analytics, business intelligence, or analytics engineering, with a track record of running—not just contributing to—a reporting ecosystem
- Expert-level SQL skills across major cloud warehouses (e.g., Snowflake, BigQuery) and hands-on capability with dbt or equivalent data transformation tools
- Highly proficient in data modeling within Power BI and/or Tableau, with an advantage if familiar with the Microsoft ecosystem (Dataverse, Azure Data Factory)
- Deep, practical familiarity with the Salesforce data model, formulas, and dashboard limitations necessary to audit a heavily customized environment
- Solid baseline understanding of inventory, COGS, and manufacturing cycles (highly preferred over an exclusively SaaS background)
- Prior involvement in a major systems migration or ERP implementation where you successfully guided target-state data definitions
- Exceptional communication skills with the confidence to advise the CFO/CEO, challenge vague data requests, and translate technical insights cleanly for the Board
- A proven ability to navigate the internal politics of report retirement, demonstrating value to stakeholders while maintaining strict architectural boundaries
- Comfort operating as an autonomous, single-person function initially, backed by the strategic vision to scale a team as the business grows
Responsibilities
- Salesforce Audit & Rationalisation: Conduct a swift audit of our legacy Salesforce report estate, partnering diplomatically with stakeholders to retire duplicates and consolidate a clean, documented core set
- Governance Framework: Implement robust access controls, a transparent change-request pipeline, and a standardized KPI dictionary ensuring metrics like revenue, gross margin, and yield are computed consistently
- ERP Data Strategy: Co-own the analytics design for our Microsoft Dynamics 365 implementation, ensuring data structures support pristine downstream reporting from day one
- Architecture Design: Architect our future-state data layer, connecting Dynamics 365, operational pipelines, and hardware telemetry using a modern data stack (e.g., Snowflake, dbt)
- Executive & Board Reporting: Own the delivery of automated, low-touch executive dashboards and high-impact quarterly Board reporting packs
- Operational Deep Dives: Partner with Finance and Supply Chain to perform advanced data modeling around COGS decomposition, inventory analysis, and manufacturing cycles
- Capability Building: Promote data literacy across Advanced Navigation, transitioning teams away from custom siloed reports toward trusted, self-service dashboards
- Data Quality Systems: Deploy automated monitoring and exception-alerting mechanisms to catch and remediate upstream data integrity issues early
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