Fleetio - Senior Analytics Engineer

• The ideal candidate for this role is a business-savvy senior-level analytics engineer with experience in building and owning complex analytics platforms and working closely with stakeholders. You have a deep understanding of data modeling, data transformation, and data warehousing on modern data platforms. Your experience goes beyond just data engineering; you have a strong foundation in analytics and have worked closely with customer-facing products. You bring strong but adaptable opinions on design patterns, architecture, and data modeling, and you are passionate about solving business challenges by delivering scalable, data-driven solutions. You have a knack for translating ambiguous business questions into clear, actionable data insights and incrementally deliver impactful results. Product-minded and team-oriented, you actively listen to others’ perspectives and educate on best practices. Excellent communication, especially written, is one of your strengths. • Your impact • Enable self-service analytics for all team members by designing clean, intuitive data models and metrics through dbt, empowering employees to make informed, data-driven decisions. • Develop and refine custom data pipelines that ingest data from operational systems to our analytics platform, handling both streaming and batch data using third-party tooling and homegrown solutions. • Maintain and optimize the data platform infrastructure, focusing on data quality, ELT efficiency, and platform hygiene. • Architect and implement key components of the analytics infrastructure, such as BI, semantic layers, and a foundational data warehouse. • Develop and maintain streaming data pipelines from various databases and data sources. • Collaborate across business units to understand data needs and ensure the required data is collected, modeled, and available to team members. • Document best practices and coach/advise other data analysts, product managers, engineers, etc. on data modeling, SQL query optimization & reusability, etc. Keep our data platform tidy by managing roles and permissions and deprecating old projects. • 5+ years of experience with a proven track record in data or analytics engineering. • Experience transforming raw data into clean models using standard tools of the modern data stack and a deep understanding of ELT and data modeling concepts. • Proficiency in python and orchestration tooling like prefect or dagster. • Experience in designing, building, and administering modern data pipelines and data warehouses. • Experience with dbt. • Experience with semantic layers like cube or metricflow. • Experience with Snowflake, BigQuery, or Redshift. • Experience with version control tools such as Github or Gitlab. • Experience with ELT tools such as Stitch or Fivetran. • Experience with CI/CD and IaaC tooling such as GitHub Actions and Terraform. • Experience with business intelligence solutions (Metabase, Looker, Tableau, Periscope, Mode) • Excellent communication and project management skills with a customer service-focused mindset. • Considered a plus • Experience with data marketplaces/private sharing technologies such as snowflake marketplace or AWS data exchange (preferred). • Experience contributing to open-source projects (preferred). • Experience with streaming data and pipelines such as kafka or kinesis. • Experience with full-stack engineering.