Responsibilities:
- Design, build, and maintain data models
- Collaborate with data analysts, data engineers, and business stakeholders to document data requirements for data marts
- Ensure data quality and integrity with testing
- Automate and scale common ad-hoc requests
- Build out dashboards and reports for different functional teams
- Implement code performance on long running queries and conduct code reviews
- Lead on our best practices, workflows, and documentation
Preferred Qualifications:
- 5+ years of directly related experience with a Bachelor’s degree or Master’s degree (preferred) in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
- 5+ years of relevant experience as a data analyst, analytics engineer, or data engineer
- 3+ years experience with data modeling
- 2+ years experience with building dashboards and reports in a BI tool
- Expert level SQL skills with knowledge of at least one programming language (Python, R, ect.)
- Demonstrated positive collaboration skills with key stakeholders and system users to deliver robust systems and compelling results
- Experience with AWS (Redshift, S3, Glue, Managed Airflow) Snowflake, Tableau
- Experience with SaaS application data sets (Netsuite, Salesforce, Workday, Coupa)
- Life sciences / BioTech sector experience in a regulated environment
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