Data Engineering and Analytics Manager

$185,000 - $200,000/Yr

Spark Advisors - New York, NY

Full-time - Mid Level

New York, NY

51-100 employees

About the position

As a Data Engineering and Analytics Manager at Spark Advisors, you will lead the data function, overseeing the development of a data warehouse, implementing data products, and mentoring your team. This role involves collaborating with various teams to ensure efficient data processing and providing insights through analytics infrastructures and dashboards, ultimately driving data initiatives that support the company's mission to empower independent Medicare brokers.

Responsibilities

• Hire, onboard, and mentor team members across data engineering, pipelining, and analytics
• Balance hands-on technical work with providing high-level guidance and mentorship to the team
• Drive the planning, prioritization, scoping and execution of the data roadmap
• Partner with product, engineering, carrier relations, and finance on strategic data initiatives, acting as the key point of contact for data-related needs
• Build and maintain scalable data infrastructure on our data stack in GCP using BigQuery, Dataform, Datastream, Cloud Composer, Metabase and Hex
• Architect and build pipelines to transform data from messy into structured and consumable for key agent features
• Automate and standardize manual data processes, ensuring efficiency and scalability, turning messy data into clean and valuable datasets
• Guide your team in providing BI insights and building and maintain dashboards that enable data-driven decision-making

Requirements

• 5-8+ years in data engineering and analytics in a startup environment
• 1+ years in leading data teams in a management capacity
• Strong technical foundation in data engineering and infrastructure with a modern data stack (GCP or Snowflake, dbt, Airflow, Fivetran)
• Experience automating data workflows and cleaning messy data with modern tools (Dataform or dbt)
• Experience with BI tools and visualizing data (Metabase, Looker, Tableau or similar)
• Strong proficiency in SQL and Python
• Player/coach leadership style, balancing hands-on work with team management
• Strong project management, planning and prioritization skills
• The ability to both think strategically and tactically, architecting while executing
• Strong communication skills and experience collaborating on asks from cross-functional stakeholders

Benefits

• Equity opportunities
• Competitive salary
• Flexible work environment