
Manager, Analytics Engineering
- New York City, NY
- Permanent
- Full-time
- 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.
- Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You're an active listener, treat people respectfully, and have a strong desire to know and help others.
- Openness - Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You're curious, ask open questions, and are receptive to thoughts and feedback from others.
- Grit - You demonstrate grit by having the courage to commit and persevere. You're committed, earnest, and dive in to get the job done well with a positive attitude.
- Integrity - Simply put, do what you say and say what you'll do. You're honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example.
- Simplicity - Be like Einstein: “Everything should be made as simple as possible, but no simpler.”
- 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.