Role OverviewJoin our team as a Senior Manager, Analytics Engineering to make a meaningful impact by influencing data-driven decision-making across the organization and driving the development of innovative analytics solutions in a collaborative and dynamic environment.
What You Will Do
Set the vision and direction for enterprise analytics engineering, build and lead a high-performing team of analytics engineers and data professionals, and translate complex requirements into semantic models and governed analytical data products.
Why It Might Be a Fit
The ideal candidate is a visionary leader with a passion for transforming data into actionable insights, and a track record of building and inspiring high-performing analytics teams.
Requirements
- 10+ years of experience in Analytics Engineering, Data Engineering, Business Intelligence, Data Analytics, or Enterprise Analytics
- 5+ years leading analytics engineering teams, enterprise analytics initiatives, or cross-functional analytics delivery
- Expert-level SQL with strong hands-on experience in dimensional modeling, semantic layers, certified datasets, analytical transformations, and data products
- Strong business acumen and experience defining enterprise KPIs with business stakeholders
- Experience with platforms such as Snowflake, Databricks, BigQuery, Redshift, or Postgres
- Experience with dbt, Spark, Python, Airflow, or similar analytics engineering technologies
- Strong understanding of data quality, reconciliation, metadata, lineage, governance, and certification
- Hands-on experience implementing AI or GenAI-enabled analytics solutions
- Excellent communication and influencing skills, with the ability to build trust and align business and technology teams
Benefits
- Sign-on bonus
- Restricted stock units
- Discretionary awards
- Full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits)
- Vacation, sick time, and parental leave
]]>