Analytics Engineer

About Base

Base is building the foundation of American power. The grid is the largest, most complex machine in the world. Yet it’s aging, struggling to keep up with today’s demand, and is unprepared for our electrified future.

Base is modernizing the grid as the first engineering-led, technology-driven power company. We’re deploying a nationwide network of distributed batteries that strengthens critical infrastructure and saves Americans money.

Our team of engineers, operators, creatives, technicians, and electricians design and deploy systems at speed. If you want to tackle the problem that will define this century and shape the future of American energy, now is the time. Join us.

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.

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 We're Looking For:

• 5+ years of experience in an analytics 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

Our Values

We’re building a winning culture and we’re looking for people who are up for the challenge. Here’s what we expect from day one:

• In-Person Only: We work full-time in the office. No hybrid. No remote.

• Challenge the Status Quo: Question assumptions. Fix broken systems. Principles > rules.

• Move Fast: Focus on what matters, act quickly, and learn by doing.

• Give & Get Feedback: Be direct, be humble. Challenge ideas–including your own.

• Own the Outcome: Take full responsibility. Deliver results. No excuses.

• Act Like an Owner: Be resourceful, mindful of impact, and committed to the business.

• Be Decisive: Drive clarity. Make bold calls with imperfect info.

• Bring the Intensity: This is not a 9-to-5. We're building something hard which requires real commitment.