People Analytics Engineering Manager
In this role, you’ll be a technical leader in the design, development, and implementation of analytics engineering and reporting solutions with the People Analytics Team. You’ll oversee a team responsible for building and optimizing scalable data solutions that align with business needs, business processes and drive operational efficiency.
Additionally, you’ll lead efforts to enhance data quality, governance, and security, while continuously driving innovation in data processing, automation and overall capabilities.
- Lead, develop and manage a team of engineers to design, build, and maintain data pipelines, ensuring data is available and accessible to all stakeholders.
- Build and support dashboards and self-service tools (using several platforms) to analyze and present internal and external data.
- Collaborate with people analytics team members and cross-functional teams to deeply understand data requirements, business processes and source systems data that will enable delivery of projects in a timely manner.
- Establish processes to ensure engineering excellence, high data quality, reliability, and efficiency of analytical products by conducting code reviews and data validations.
- Ensure high availability of data systems through monitoring, alerting, and on-call rotations as necessary.
- Co-own a portfolio of data products, ensuring our Design Process and Design System is followed across developers.
- Drive innovation and automation in data processes to optimize data flow, reduce latency, and improve data quality.
- Mentor and grow the team, fostering a culture of learning, continuous improvement, and collaboration.
- 8+ years of experience in analytics engineering and solutions.
- 2+ years management experience leading Data Analytics teams.
- Strong SQL skills, ability to perform effective querying involving multiple tables and sub-queries.
- Extensive experience and knowledge using analytical reporting tools with specific emphasis on Tableau.
- Technical proficiency in advanced statistics, modeling knowledge, data visualization (e.g., Tableau), relational databases, and/or Python.
- Strong problem solving, quantitative and analytical abilities.
- Strong understanding of cloud platforms (AWS), data warehousing solutions (Snowflake) and data modeling and analytics workflows and development (Dbt, CICD, etc)
- Excellent collaboration and communication skills to partner cross-functionally across engineering teams and business teams.
- Strong ability to plan and manage numerous processes, people and projects simultaneously.
- Experience with machine learning platforms and data science workflows.
- Experience with Tableau Server, TabPy, Extensions, and Tableau Prep.