The GDIT Supply Chain Management (SCM) organization is seeking a seasoned data analyst to join the Supply Chain Analytics team. SCM Analytics provides foundational support across the organization including data warehousing, analytics, reporting, KPI & dashboard development, and data model development. GDIT SCM acquires goods and services on behalf of the company, develops supply chain strategy, builds strategic supplier relationships, manages supplier risk, and influences the downstream lifecycle. The successful candidate will join a fast-paced, team-oriented environment and should be able to support multiple responsibilities simultaneously. Please note: this role is based on Federal Government IT Procurement, not Supply Chain Logistics, i.e. warehousing. Required capabilities include: Develops, analyzes and models operational, management, accounting and other organizational data to quantify the competitive performance of business segments, evaluate potential operational changes, and design new approaches and methodologies. Maintain and update data ingestion and reporting pipelines as requirements evolve. Deploy analytic models and dashboard solutions using ETL and Visualization tools (Alteryx, Tableau, Python). Design QA/QC models and checkpoints for data validation. Develop supply chain metrics and KPIs. Assist with identifying data challenges and develop repeatable solutions in relation to organizational needs Models and evaluates the potential impact of data changes. Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems. Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance. Communicate effectively with members to resolve questions with reports, access and data inconsistencies. Performing predictive and trend analysis to track and identify target topic areas. Performs additional duties as assigned.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees