Business Analyst, Scrum Master – Supply Chain
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Job Description
Business Analyst & Scrum Master driving Supply Chain Analytics delivery by translating business needs into actionable insights. Partnering with stakeholders in logistics, planning, and manufacturing.
Responsibilities:
- Partner with Supply Chain stakeholders (Demand Planning, S&OP, Logistics, Procurement, Manufacturing, Customer Service) to elicit requirements, define user stories, and map processes.
- Translate business problems into analytics solutions (dashboards, KPIs, data marts, alerts) aligned to product vision and roadmap.
- Create and maintain artifacts: user stories, acceptance criteria, process maps (BPMN), data dictionaries, and data lineage.
- Perform data discovery and profiling in Snowflake, write performant SQL (CTEs, window functions), validate data quality, and reconcile with source systems.
- Review Power BI reports and semantic models; review row-level security (RLS), calculation groups, and DAX measures.
- Define and monitor KPIs (e.g., forecast accuracy, inventory turns, case fill rate, OTIF, production adherence, DC throughput, transportation cost per case).
- Support data governance (metadata, access controls, quality rules) and contribute to analytics best practices.
- Serve as Scrum Master for the product team: facilitate daily standups, backlog refinement, sprint planning, reviews, and retrospectives.
- Coach the team in agile principles (empiricism, transparency, iterative delivery) and help remove impediments.
- Maintain a healthy backlog and sprint cadence; utilize velocity and cycle time to forecast delivery.
- Foster collaboration across business, data engineering, analytics, and platform teams (Snowflake, CI/CD, security).
- Promote definition of ready/done, test automation where applicable, and measurable outcomes per sprint/release.
- Track and communicate progress via roadmaps, burnup/burndown, and stakeholder updates.
Requirements:
- 5–8+ years in analytics/BA roles; 3–5+ years Scrum Master experience.
- Proficiency in Snowflake, SQL, and Power BI (DAX, RLS, modeling).
- Strong grounding in data modeling, ETL/ELT, and data quality.
- CPG supply chain experience (demand, inventory, production, logistics).
- Excellent facilitation and communication skills.
- Preferred: CSM/PSM, PL-300, SnowPro Core
- SAP/Blue Yonder/Kinaxis exposure
- Familiarity with S&OP, APS, ERP (SAP/ECC/S4), TMS/WMS data structures and integration patterns.
- Knowledge of data governance frameworks (e.g., data quality rules, stewardship, cataloging)
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