Description

You will design and build the architectural foundation for data systems.

Responsibilities

• Design and implement scalable, reusable, and discoverable data pipelines and integrations across diverse systems, enforcing data governance.
• Resolve data integrity issues by collaborating with engineering and analytics teams and promoting upstream data quality changes.
• Create prototype data models and tools to support business decision-making and evaluate existing analytical techniques.
• Track advances in data engineering and architecture, adapting emerging technologies to improve system performance and maintainability.
• Partner with stakeholders to define data requirements and articulate data-driven strategies based on analytical results.

Required Skills

• 7+ years experience in data analysis, data science, business intelligence, or financial analysis.
• Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or related field, plus 5+ years relevant experience.
• 3+ years experience with PowerBI, SQL, Python, Workday, Sales Force, or other data analytics tools.
• 4+ years consulting experience.

Key Skills

Education

Any Graduate