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Compensation: 70 USD – 80 USD / Hour
***We are unable to work with 3rd-party or corp-to-corp candidates for this position***
The Senior Supply Chain Data Analyst focuses on projects and data discovery. Works hand-in-hand with stakeholders to understand request requirements, conduct analysis, and interpret the results. Uses expertise to create project requirements and expand analysis into deeper learning.
HOW YOU’LL MAKE A DIFFERENCE
- Conducts continuous data exploration of internal and external data sources. Works with data engineers to ingest sources into the data lake, validate/cleanse, and stage for analysis purposes.
- Collaborates with business stakeholders to understand large-scale business initiatives.
- Conducts initial analysis to inform requirements and provide the full picture.
- Models, validates, and produces results, and then presents findings to stakeholders and walks through continued interpretations from automation.
- Participates in demonstrations on analytical tools and/or concepts.
YOU ARE
- Problem Solving: Solves complex problems and develops independent creative solutions based on the evaluation of multiple options.
- Decisions: Independently analyzes issues of a diverse scope and functions with a moderate degree of autonomy. Receives minimal direction, seeks guidance for highly complex issues.
- Knowledge: In depth knowledge of principles, concepts, and theories within own discipline and working knowledge of related disciplines. Applies broader knowledge of industry standards/practices to assignments and others.
- Business Acumen: Understands best practices; is aware of the differences between the company and its competition in the supported function. Understands how their own functional area integrates with others to deliver results.
- Communication & Influence: Explains difficult or sensitive information; works to build consensus. May provide process and subject matter advice.
YOU HAVE
- Bachelor’s degree, applicable certification or equivalent experience.
- 5 years of data analyst experience with strong competency in data analyst tools, systems, and procedures.
- Work experience with SQL, Databricks, and Power BI preferred.
- Professional work experience utilizing Python, Azure datalake, and data architecture