Full-time
Dallas, TX
Job description
Position Summary
The Senior Data Analyst, Supply Chain leads data-driven initiatives that optimize inventory management and global operations (with primary focus on the U.S. and Canada). This role maintains and enhances critical databases, develops actionable KPIs, and applies advanced analytics to uncover trends and risks. Working cross-functionally, you’ll convert findings into practical changes that elevate operational excellence and business outcomes.
Responsibilities
SQL data modeling & ETL: Write performant SQL to extract, clean, join, and automate datasets from ERP/WMS/TMS; create reusable views, stored procedures, and QA checks.
Semantic models in BI: Build star/snowflake models and dataflows for Power BI; define relationships, measures (DAX), and row-level security to ensure single-source-of-truth reporting.
Dashboarding & self-service: Develop executive and operator dashboards (inventory accuracy, turns, DOH, fill rate/OTIF, pick accuracy, dock-to-stock, forecast bias); enable drill-through/alerting.
Performance analytics: Lead root-cause and variance analyses (cycle counts, shrink, service failures, cost drivers); quantify impact and recommend fixes.
KPI governance: Define metric logic and data lineage; publish documentation and run cadence reviews with Ops/Logistics/Finance.
Automation & reliability: Schedule refreshes, monitor failures, and implement data quality rules/outlier handling to keep reports accurate and on time.
Advanced analysis: Apply time-series and regression techniques for demand, inventory, and service forecasting; scenario test “what-if” changes in policy or parameters.
Stakeholder enablement: Translate technical findings for non-technical audiences; create quick ad-hoc SQL/BI views for DC managers and planners.
Minimum Qualification
6+ years in analytics with strong SQL (joins, CTEs, window functions, performance tuning) and Power BI (data modeling, DAX, dataflows).
Experience pulling from ERP/WMS/TMS (Oracle or similar) and building supply-chain KPIs (inventory accuracy, turns, DOH, OTIF, cost-to-serve).
Nice to have: Python/R for deeper analysis; basics of forecasting/time-series; Git/source control for BI assets.
When you join our team, you become part of a company that is redefining how essential products are made, reused and repurposed to reduce waste and maximize resources.
Here’s what sets us apart:
TERREPOWER is an Equal Opportunity Employer. We are committed to fostering an inclusive, diverse, and equitable workplace. We welcome applicants of all backgrounds and do not discriminate on the basis of race, color, sex, pregnancy, age, veteran status, religion, national origin, genetic information, disability unrelated to the ability to perform a job, sexual orientation, or transgender status to the extent protected by law. We believe that diversity drives innovation and success.