Salary
💰 $151,000 - $200,000 per year
Tech Stack
Amazon RedshiftBigQueryGoogle Cloud PlatformPythonSQLTableau
About the role
- Support our data infrastructure which includes Snowflake, dbt, Tableau, Looker, and GCP services
- Educate the organization on analytical approaches to drive business decisions
- Research, design, and implement best practices in managing data platforms
- Partner with data analysts, engineers, and scientists to build reusable data infrastructure, analytics, dashboards, and models
- Lead transformational efforts to build a data driven culture at ID.me by enabling data self-service
- Provide technical guidance, mentorship, coaching and/or training to data analysts
Requirements
- Bachelors degree in Computer Science, Analytics, Engineering, Math, Physics, Statistics, or related quantitative filed; Masters degree preferred.
- 5+ years of experience with Data Analytics and SQL.
- 5+ years of experience with data warehousing technologies (Snowflake, BigQuery, Redshift, or related).
- 2+ years of experience using dbt, Python, and Git (experience with dbt is a must).
- 3+ years of experience building data models and data modeling.
- Experience ingesting, processing, and visualizing data sources of varying types - structured/relational and unstructured.
- Ability to work independently and autonomously, as well as part of a team.
- Superb time management, prioritization of tasks and ability to meet deadlines with little supervision.
- Experience working in CI/CD frameworks and familiarity with data architecture and design.
- Experience with visualization/reporting tools like Tableau, Looker, and Power BI.
- An obsession for building quality products
- Ability to thrive when there are changing priorities and shifting of gears
- Strong oral and written communication skills
- Team player with a strong, self-managing work ethic
- Self-starter with a passion for software engineering, learning and continuous improvement