Senior Analytics Engineer

We are looking for a Senior Analytics Engineer to join our data and analytics team to help us shape the future of our data platform and product. You will play a critical role in building a scalable and robust analytics infrastructure that powers data-driven decision-making across the organization. Working closely with the team, you will be responsible for designing and optimizing data models, creating actionable metrics, and supporting self-service analytics for internal and external stakeholders. Additionally, your work will span data integration, data transformation, and analytics engineering, enabling seamless data flows for marketplaces, integrations, and reporting.

You will report to Fleetio’s Manager of Analytics Engineering and collaborate closely with leadership, engineering, and other internal stakeholders to ensure data aligns with business needs and supports strategic objectives. This is a unique opportunity to join a data-driven company at an exciting stage of growth, pushing the boundaries of the modern data stack and delivering innovative data products to empower our customers.

Who you are

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.

Your experience

• 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.