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Utility Data Analyst Jobs (NOW HIRING)

Meter, Inc

Data Analyst

San Francisco, CA · On-site

$190K - $270K/yr

Meter sells networks the way utilities sell power: as something that just works. Behind that ... Right now, the data that runs the business is scattered across a dozen systems that don't talk to ...

Sterling Engineering Inc.

Data Analyst

Atlanta, GA

$45 - $60/hr

Analyze financial and operational data to identify trends, forecast results, and provide actionable ... Industry experience within utilities, energy, infrastructure, industrial construction, or large ...

Panelmatic

Data Analyst

Houston, TX · On-site

... utility markets. We also deliver equipment for use worldwide. Our rigorous methodology ensures ... The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational ...

Bandera Electric Cooperative

Data Analyst

Boerne, TX · On-site

Working knowledge of electric utility operations, demand response, distributed energy resources ... Strong data analysis, problem-solving, and critical-thinking skills. * Proficiency in developing ...

Bandera Electric Cooperative

Data Analyst

Boerne, TX · On-site

Working knowledge of electric utility operations, demand response, distributed energy resources ... Strong data analysis, problem-solving, and critical-thinking skills. * Proficiency in developing ...

Bandera Electric Cooperative

Data Analyst

Boerne, TX

Working knowledge of electric utility operations, demand response, distributed energy resources ... Strong data analysis, problem-solving, and critical-thinking skills. * Proficiency in developing ...

Bandera Electric Cooperative

Data Analyst

Boerne, TX · On-site

Working knowledge of electric utility operations, demand response, distributed energy resources ... Strong data analysis, problem-solving, and critical-thinking skills. * Proficiency in developing ...

Bandera Electric Cooperative

Data Analyst

Boerne, TX · On-site

Working knowledge of electric utility operations, demand response, distributed energy resources ... Strong data analysis, problem-solving, and critical-thinking skills. * Proficiency in developing ...

Resource Innovations

Data Analyst Lead

Chicago, IL

$65K - $95K/yr

As a Data Analyst Lead you will think strategically and apply your skills in project management ... guide utilities through increasingly complex, connected challenges. Load flexibility.

FirstEnergy

Data Analyst

Akron, OH

$79K - $139K/yr

FirstEnergy at a Glance We are a forward-thinking electric utility powered by a diverse team of ... This position will analyze complex business needs related to C&DS project data and answer critical ...

FirstEnergy Corp.

Data Analyst

Akron, OH · On-site

$79K - $139K/yr

FirstEnergy at a Glance We are a forward-thinking electric utility powered by a diverse team of ... This position will analyze complex business needs related to C&DS project data and answer critical ...

Resource Innovations

Data Analyst Lead

Chicago, IL · On-site

$65K - $95K/yr

As a Data Analyst Lead you will think strategically and apply your skills in project management ... guide utilities through increasingly complex, connected challenges. Load flexibility.

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Utility Data Analyst information

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$82.6K

$136K

How much do utility data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for utility data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a utility data analyst do?

A Utility Data Analyst is responsible for collecting, analyzing, and interpreting data related to utilities such as electricity, water, or gas. They use various analytical tools and software to identify trends, optimize operations, improve efficiency, and support decision-making. Their work often involves working with large datasets, preparing reports, and collaborating with engineers, managers, and other stakeholders to help utility companies make data-driven decisions.

What are some common challenges utility data analysts face when working with large datasets from multiple sources?

Utility Data Analysts often encounter challenges such as data inconsistency, missing information, and varying formats when integrating data from different sources like smart meters, SCADA systems, and billing platforms. Ensuring data accuracy and quality control is crucial, as errors can impact decision-making and reporting. Analysts frequently collaborate with IT teams and engineers to resolve data issues and develop standardized processes, making strong communication and problem-solving skills essential for success in this role.

What are the key skills and qualifications needed to thrive as a utility data analyst, and why are they important?

To thrive as a Utility Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science, engineering, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and utility-specific software such as SCADA or GIS systems is important, and certifications in data analytics can be advantageous. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for interpreting data and sharing insights with diverse teams. These skills are crucial for optimizing utility operations, ensuring regulatory compliance, and enabling data-driven decision-making.
More about Utility Data Analyst jobs
What cities are hiring for Utility Data Analyst jobs? Cities with the most Utility Data Analyst job openings:
What states have the most Utility Data Analyst jobs? States with the most job openings for Utility Data Analyst jobs include:
What job categories do people searching Utility Data Analyst jobs look for? The top searched job categories for Utility Data Analyst jobs are:
Utility Data Analyst jobs near you
Infographic showing various Utility Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Meter, Inc

San Francisco, CA • On-site

$190K - $270K/yr

Full-time

Re-posted 9 hours ago

Job description

Meter sells networks the way utilities sell power: as something that just works. Behind that promise is a business growing fast across enterprise customers, multi-site deployments, and a partner ecosystem.
Right now, the data that runs the business is scattered across a dozen systems that don't talk to each other. This role fixes that.
Why this role matters
Every important decision at Meter - where to spend marketing dollars, which accounts to prioritize, how to forecast next quarter - is only as good as the data underneath it. Today, that data is fragmented across Salesforce, HubSpot, Stripe, ad platforms, partner systems, and product telemetry, and every team rebuilds its own version of the truth. We need one person to own the layer that turns those signals into something the company can actually run on.
What you'll do in your first six months
  • Ship canonical dbt models for accounts, opportunities, marketing touches, and revenue that finance, sales, and marketing all use - replacing the four versions of "ARR by segment" floating around today.
  • Cut the time it takes the marketing team to answer "is this channel working" from a week of manual reconciliation to a query.
  • Build the attribution and funnel layer that lets us actually compare the cost of acquiring a customer through partners versus paid versus outbound.
  • Become the person GTM leadership goes to when they don't trust a number - and the person whose work makes that question rarer over time.

What you'll do in your first year
While you're picking up quick wins, the first few months are about laying the foundation. The next are about using it.
You'll embed with finance during forecasting cycles and with marketing during budget planning. You'll be in the room when sales leadership is debating territory coverage. The business models you built in month four will be the substrate for an attribution rebuild in month nine. By the end of year one, you'll have set the standard for analytical rigor at Meter; the bar that the next five analysts we hire will be measured against.
What a typical week looks like
Monday morning you're pairing with a marketing lead on why their LinkedIn spend report doesn't match what finance recognized last quarter. Tuesday you're shipping a dbt PR that consolidates three definitions of "active customer" into one. Wednesday you're in the forecast review, watching the head of sales argue about coverage ratios, and you realize the underlying data has a fanout problem you can fix by Friday. Thursday is deeper IC work: designing the schema for a new partner data source. Friday you're reviewing a teammate's model and writing the test that catches the next regression before it ships.
What we're looking for
  • You've been the analytical partner inside a GTM function - not just the analyst who delivered reports to one. You've sat in pipeline reviews, argued about attribution definitions, and built dashboards that executives actually use.
  • You write SQL the way most people write English. You reach for window functions, CTEs, and set operations without thinking. You can read someone else's 200-line query and find the bug in ten minutes.
  • You think in dbt. You have opinions about staging vs. marts, when to use incremental models, and what belongs in a snapshot. You've designed schemas that survived contact with a changing business.
  • You've worked across Salesforce, billing systems, marketing platforms, and product data, and you understand how they're each subtly wrong in their own way.
  • You can take "is our marketing spend working?" and turn it into a structured analysis with a clear, defensible answer - including what you're not sure about.
  • You build trust before you ship models. You know the dashboard nobody uses is worse than no dashboard at all.
  • You have deep experience with one or more of the following: Snowflake, BigQuery, Tableau, or other modern data stacks.

Why Meter?
The internet runs the world. Every purchase you make, video call you join, it's all packets flowing through networks. But those networks haven't changed for decades. They're brittle, complex, and surprisingly hard to set up in an enterprise space.
We started Meter to build better networks. We had to build everything from the ground-up: designing and building our own enterprise hardware, intuitive software, and streamlined operations to deliver great outcomes for our customers. Today, we build and deploy these networks at scale. Ambitious companies and enduring institutions like Bridgewater, Lyft, Reddit, rely on Meter to keep their thousands of employees and locations online and productive.
Our bet with Meter is simple: we will all use the internet more than we do today. We believe we have the definitive networking stack in place to enable business to do so as seamlessly and reliably as any modern utility.
Compensation
  • The estimated base salary for this role is between $190,000 - $270,000
  • Additionally, this role is eligible to participate in Meter's equity plan.

By applying to this job you acknowledge that you've read and understood Meter's Job Applicant Privacy Notice.

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