Supply Chain Data Analyst
Bedrock
Role: Supply Chain Data Analyst Position
Overview A fast-growing clean energy organization is expanding its team to support the continued development and scaling of innovative energy technologies. The Supply Chain Data Analyst will play a critical role in enabling data-driven decision-making across the supply chain organization by owning analytics, dashboard development, reporting, and data support initiatives.
This role requires a hands-on analyst who can independently build, maintain, and enhance reporting solutions while partnering closely with Supply Chain leadership, IT, third-party developers, and business stakeholders. The position sits at the intersection of Supply Chain, IT, and business operations and demands strong analytical capability, data visualization skills, and technical fluency in reporting systems and data integration.
- Analyze large, complex datasets from multiple internal and external systems to identify trends, risks, and opportunities across the supply chain.
- Translate data into actionable insights supporting cost reduction, operational efficiency, category management, and strategic sourcing initiatives.
- Review invoice, purchase order, supplier, catalog, and spend data to improve visibility into purchasing patterns and category performance.
- Identify top spend areas, supplier concentration, category trends, and other findings requiring leadership attention.
- Partner with Supply Chain leadership to define KPIs, reporting priorities, and performance frameworks.
- Design, develop, and maintain executive-level dashboards and reports using Power BI and other visualization tools as needed.
- Create clear, intuitive, and visually compelling dashboards for both technical and non-technical audiences.
- Continuously improve dashboard usability, performance, data quality, and business relevance.
- Support executive summaries, trend analysis, scorecards, and leadership reporting materials.
- Support data integration across multiple supply chain and operational systems (e.g., invoice, purchasing, and order management platforms).
- Collaborate with Supply Chain leadership, IT, and third-party developers to support reporting connectivity, including API-based integrations where required.
- Help define reporting requirements, field mappings, category hierarchies, and logic to ensure accurate and sustainable dashboards.
- Contribute to scalable reporting processes that improve consistency, visibility, and efficiency across the supply chain function.
- Automate recurring reports and data workflows to reduce manual effort and improve efficiency.
- Identify opportunities to streamline data collection, validation, categorization, and reporting.
- Enhance reporting standards to ensure focus on decision-relevant insights.
- Support continuous improvement of reporting logic, dashboard structure, and data management practices.
- Collaborate with IT, Finance, Operations, and Supply Chain teams to align analytics with business needs.
- Act as a liaison between business users and technical resources to ensure reporting solutions meet operational requirements.
- Support category managers and supply chain leadership with analysis, presentations, and executive-ready deliverables.
- Leverage automation, AI tools, and modern analytics technologies to improve reporting efficiency and analytical output.
- Stay current on emerging analytics capabilities and recommend practical applications.
- Apply AI-enabled tools thoughtfully to accelerate analysis, summarize findings, and enhance reporting workflows.
- Bachelor's degree in Supply Chain, Data Analytics, Business, Finance, Engineering, Computer Science, or a related field.
- 3-7 years of experience in data analytics, business intelligence, supply chain, procurement, operations, or finance analysis roles.
- Advanced Excel skills (formulas, PivotTables, lookups, structured reporting, charting).
- Strong PowerPoint skills with experience creating executive-ready presentations.
- Strong experience with Power BI or similar dashboarding tools.
- Experience analyzing large datasets, including spend, supplier, PO, and invoice data.
- Ability to support reporting across multiple systems and data sources.
- Strong analytical skills with attention to data accuracy and reporting reliability.
- Ability to work independently, manage multiple priorities, and operate in a fast-paced environment.
- Proven ability to partner cross-functionally with both technical and business stakeholders.
- Experience supporting procurement, sourcing, logistics, or supply chain teams.
- Experience with operational or procurement platforms (e.g., invoice or order management systems).
- Familiarity with APIs and system-based data integrations.
- Exposure to SQL, Python, or advanced analytics tools (nice to have).
- Experience building KPI dashboards, scorecards, and leadership-level performance reporting.
- Familiarity with spend taxonomy, supplier master data, and reporting governance.
- Comfort using AI tools (e.g., generative AI or analytics copilots) to support reporting and workflow efficiency.
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