Analytics Engineer

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.

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.

What You'll Do

• 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 You'll Bring

• 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 (Big Query, Snowflake, Redshift), BI Tools (Looker/Tableau), Orchestration (Airflow, Temporal, etc)

• Expert with SQL and experienced with Python or other programming languages (Golang, Java script, 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

• First Principles Thinking: Question assumptions. Principles > rules.

• Operate at Base Pace: Focus on what matters, act quickly, and learn by doing.

• Give & Get Feedback: Be direct, be humble, and maintain a growth mindset.

• Everyone’s an Owner: Follow through on commitments and own results.

• Strong Opinions, Loosely Held: Drive clarity and make calls with imperfect information.

• Committed to the Mission: Rebuilding the grid is a big challenge. We work hard because we care deeply about the impact we’re creating. We work in‑person. It’s not a 9‑to‑5. We are all‑in.

• Fun & Optimism Coexist with Grit: Collaboration and celebration coincide with the intensity of building real things.