Why This Role Stands Out
This hybrid Business Analyst role offers a fantastic opportunity to build impactful compliance dashboards, leveraging your expertise in supply chain and manufacturing data to define key metrics and drive operational improvements. You'll thrive here if you're a detail-oriented problem-solver eager to contribute to a well-respected company and develop your analytical skills within a flexible work environment.
Quick Overview
Job Description
Business Analyst - Supply Chain & Manufacturing
6- 9 Months Contract possible extension
Location: Vienna, VA / Livonia, MI / Open to remote
Job description:
Needs Business Analyst, Supply Chain and Manufacturing , Supply Chain and Manufacturing, This person builds operational compliance dashboards on warehouse management data for a client.
About this role -
- Our client, a large fresh produce grower and distributor, runs its distribution centres on an in-house warehouse management system.
- Most inventory problems across its network come from warehouse transactions not being recorded the way the process requires.
- Every movement, adjustment, count and exception in the system is already stamped with the user and the time.
- You will turn that data into a compliance reporting layer that shows whether people transact as the process requires, at four levels: user, shift, distribution centre and enterprise.
- The work starts with discovery, so you will help define the metrics, not just build them.
Examples of what you will measure:
- Stock shipped or consumed without a scan, and receipts or production output left waiting for putaway
- Inventory count accuracy, adjustment rates and variances traced to the users who last touched a location
- Lot rotation (FEFO / FIFO), hold compliance and un-pick rates
- Scanner productivity, dock-to-stock time and DC compliance scorecards ranked across the network
- The engagement is delivered from a capped bucket of hours: discovery, data profiling, data model, dashboards, validation and handover.
Key Responsibilities:
- Run discovery workshops with operations leadership, Distribution Center (DC) managers, inventory control, food safety and finance. Turn them into a signed-off metric catalogue with definitions, thresholds, targets and audiences.
- Profile warehouse data across live sites (inventory ledger, movements, counts, discrepancies, in-process logs) and write a data readiness report that flags gaps.
- Design and build a dimensional reporting model with conformed user, shift, site, item, lot, location and transaction-type dimensions.
- Build Power BI dashboards and reports: supervisor views by user and shift, DC scorecards, an enterprise roll-up, and exception lists that drill down to the individual transaction.
- Write performant SQL for metrics with time windows, aging and ratios (for example, quantity auto-created as a share of quantity shipped).
- Set up refresh, row-level security and workspace deployment on the client's reporting platform.
- Validate the numbers with Distribution Center (DC) operations, tune thresholds and support user acceptance testing.
- Hand over metric definitions, technical documentation and training for supervisors and managers.
- Report progress and hours burned against the agreed bucket to the ESF Delivery Manager each week.
Required skills and experience
- 10+ years of professional experience, including 6+ years in data, reporting or analytics in supply chain and manufacturing domain
- 3+ years building data solutions
- Strong SQL: complex joins, window functions, query tuning
- Dimensional modelling (star schemas, conformed dimensions, slowly changing dimensions)
- Has led requirements or KPI-definition workshops with business users and turned them into signed-off metric definitions
- Experience with operational or transactional data, ideally warehouse, supply chain, manufacturing or retail
- Clear written and spoken English for working directly with US and Canadian operations stakeholders
Nice to have:
- Warehouse management system data (Blue Yonder / JDA, Manhattan, SAP EWM or a custom WMS): receiving, putaway, picking, cycle counts, adjustments, holds
- Familiarity with distribution center KPIs such as dock-to-stock time, inventory record accuracy and order picking accuracy (for example, WERC DC Measures)
- Food or fresh produce supply chain, including lot traceability (FEFO / FIFO, FSMA 204)
- Microsoft Dynamics NAV / Business Central data
- Power BI or Fabric
- Microsoft certifications: PL-300 (Power BI Data Analyst) or DP-600 (Fabric Analytics Engineer)
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