Analytics Engineer

Base Power Company • Austin, TX

1d

About The Position

About Base Base is America’s next-generation power company. We’re rebuilding the foundation of modern civilization–electricity–by deploying a vast network of distributed batteries that is transforming today’s fragile, centralized grid into a resilient and abundant system. We are engineers, operators, and creatives solving some of the most complex, interdisciplinary challenges of our time. About the Role As an Analytics Engineer at Base, you will sit at the intersection of data, engineering, and business decisions. You will be responsible for transforming raw data into trusted models and insights that drive product, deployments, business operations, supply chain, go-to-market, manufacturing, hardware design, and more. You'll enable decision-making at scale, directly impacting our ability to grow in both new and existing markets. Note: This is not a Data Analyst position.

Requirements

• 5+ years of experience in a software or data focused role - Analytics Engineer, Data Engineer, or Software Engineer
• Demonstrated experience with autonomy and process ownership
• Experience with data stack tools: dbt, Data Warehouses (BigQuery, Snowflake, Redshift), BI Tools (Looker/Tableau), Orchestration (Airflow, Temporal, etc)
• Expert with SQL and experienced with Python or other programming languages (Golang, Javascript, etc)
• Ability to build world-class data models in a fast, start-up environment
• Demonstrated aptitude for strategic partnerships and communication with both technical and non-technical Stakeholders

Responsibilities

• Develop deep understanding of the domains of the business (e.g., Deployments, Business Operations, Supply Chain, Manufacturing) and build the data models that describe how they work.
• Collaborate deeply with both technical and non-technical stakeholders, gathering requirements and implementing models that are secure, reliable, timely, and extensible.
• Design and maintain pipelines that transform raw data into analytics-ready structures.
• Develop internal tools and applications (dashboards, metrics layers, data apps, etc.) that empower real-time decision-making.
• Drive data quality standards across the stack, implementing monitoring, observability, and documentation practices that scale.
• Proactively seek out opportunities where analytics can solve business or operational challenges and deliver end-to-end solutions.
• Serve as a trusted partner to leadership, helping them run their organizations more effectively with data.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 101-250 employees