Analytics Engineer

2 Hours ago • 5 Years +
Data Analysis

Job Description

As an Analytics Engineer at Base, you will bridge data, engineering, and business decisions. Your role involves transforming raw data into reliable models and insights to drive product development, deployments, business operations, supply chain, and more. You will enable scalable decision-making, directly impacting growth in new and existing markets by building data models, pipelines, and internal tools, while ensuring data quality and proactively solving business challenges with analytics.
Must Have:
  • 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)
  • Experience with BI Tools (Looker/Tableau)
  • Experience with Orchestration tools (Airflow, Temporal)
  • Expert with SQL
  • Experienced with Python or other programming languages (Golang, Javascript)
  • 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
  • Develop deep understanding of business domains and build data models
  • Collaborate with technical and non-technical stakeholders
  • Design and maintain pipelines for analytics-ready structures
  • Develop internal tools and applications (dashboards, metrics layers, data apps)
  • Drive data quality standards, monitoring, observability, and documentation
  • Proactively seek opportunities to solve business/operational challenges with analytics
  • Serve as a trusted partner to leadership for data-driven effectiveness

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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.

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 (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.

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