Justworks-posted 4 months ago
$205,000 - $261,500/Yr
Full-time • Manager
New York, NY
1,001-5,000 employees

We are seeking a highly skilled and motivated Manager of Analytics Engineering with people management experience and hands-on development skills. In this 'player-coach' role, you will be responsible for managing a team of analytics engineers, while also working closely with cross-functional teams to design, build, and maintain scalable data pipelines and robust data models. Your work will directly contribute to business growth by providing a reliable and accessible data foundation for analysis and reporting. This role requires a strong analytical & data modeling background, a deep understanding of the modern data stack, and a passion for mentoring and growing teams.

  • Lead and develop a team of analytics engineers, fostering their professional growth through goal-setting, coaching, feedback, and recognition.
  • Guide your team in designing, implementing, and maintaining scalable data models and ELT pipelines, a star schema architecture, and reporting solutions that power business intelligence, reduce time to insights, and elevate our company-wide data literacy.
  • Manage project priorities and timelines for your team, ensuring the timely delivery of rigorous, impactful solutions while upholding high standards for data quality and integrity.
  • Collaborate with Data & Analytics leadership and cross-functional teams (including Engineering, Operations, and business teams) to understand requirements and translate them into executable analytics engineering projects and data products.
  • Contribute to the data strategy and roadmap by identifying opportunities and executing projects leveraging data modeling, data warehouse architecture, and other analytics engineering best practices.
  • Uphold and contribute to best practices for data model development, testing, and documentation within your team to deliver iteratively and efficiently.
  • Build relationships with cross-functional leads to promote the adoption of new methods, technologies, and self-service data tools that help the organization scale.
  • 7+ years of experience in a data role such as analytics engineering, data engineering, or data warehousing, with hands-on experience designing and building scalable data models and ETL/ELT pipelines.
  • 2+ years in people management, with a proven track record of developing and managing high-performing teams.
  • Proficiency in SQL and Python.
  • Deep expertise in data warehouse architecture and dimensional modeling (e.g., Kimball).
  • Demonstrated experience with a modern data stack, preferably Snowflake, Airflow, and dbt.
  • Strong analytical and problem-solving skills, with the ability to work with complex datasets to transform and model them for analytical use.
  • Excellent oral & written communication skills and a strong ability to collaborate with both technical and non-technical stakeholders.
  • Strong project management skills, with the ability to manage multiple projects, prioritize effectively, and meet deadlines.
  • Welcoming and casual environment
  • Great benefits
  • Wellness program offerings
  • Company retreats
  • Ability to interact with and learn from leaders in the startup community
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