Data Analyst

Develops, inspects, mines, transforms, and models data to raise productivity, improve decision making, and gain competitive advantage in an engineering setting. Conducts statistical analysis on data and information to ensure correct predictive forecasting or classification. Manages all aspects of end-to-end data processing utilizing customized report building functions of systems. Maintains analytical systems, verifies the accuracy of the data, and acts as liaison with business. Works with technical developers and data scientists to define business outcomes and govern capabilities. Assist with status reports for leadership reviews. Assist in developing mechanisms for monitoring project progress and for intervention and problem solving with the project manager, suppliers and the internal customer. Manage and track supplier task completion, provide system access based on training completion, support team efforts to ensure security levels are completed and accurate. Knowledge of the supply chain management systems landscape and sourcing process a significant plus. The most desired skill sets include the ability to collaborate cross-functionally, build consensus, shape/influence opinion and articulate the future state.

Basic Required Qualifications

• Python (3.10+) - production-level scripting, not just notebooks; comfortable building deterministic pipelines (ETL, linking logic, data validation)
• AWS core services - S3, Lambda, boto3.
• Data Cleaning and Data Integration -turning unstructured documents into clean
• Data modeling for entity linking - experience designing keys/joins across datasets
• SQL
• Document processing
• Dashboarding/ Tableau
• Databricks
• API development ex. FastAPI, basic frontend-backend integration

Desired Skills

• Frontend experience (like react etc.)
• API integration
• Create stored procedures
• Tableau Prep/Alteryx
• Experience in SSO and authentication integration

M, T, Wed on site, Thursday from home. Flexible schedule.

Position Is Located At

4501 New York Avenue