Description

You will design and build the architectural foundation for data systems, ensuring scalable, reusable, and discoverable data pipelines across diverse platforms.

This role is remote.

Responsibilities

• Design and implement scalable data pipelines and integrations, enforcing strict data governance standards.
• Resolve data integrity issues by collaborating with engineering and analytics teams to drive upstream data quality improvements.
• 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 of experience in data analysis, data science, business intelligence, or financial analysis.
• 3+ years of hands-on experience with PowerBI, SQL, Python, Workday, or Salesforce.
• 4+ years of consulting experience.
• Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or a related field.
• 5+ years of relevant professional experience in data analytics.
• Strong ability to design scalable, reusable, and discoverable data integrations.
• Experience resolving complex data integrity and quality issues.

Preferred Skills

• Experience with data governance frameworks and enforcement.
• Background in creating prototype tools for business decision support.

Key Skills

Education

Any Graduate