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Senior Meter 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 ...

Ztek Consulting INC

SR. ARCHITECT

Tucson, AZ · On-site

Job title : SR. ARCHITECT Required Skills : ,Itron Meter Data Management,Smart Grid,L+G MDMS Admin ... analytics teams to architect reliable data provisioning pipelines from MDMS platforms into ...

PPL Corporation

Meter Technician-Trainee

PA · On-site

Commissions, troubleshoots and maintains Automated Meter Reading Substation Communication Equipment ... This work entails the recording of data and then providing technical input for data analysis and ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

Senior Data Analyst ID: 1592 Location: Quantico, VA More about this job > Description Data Intelligence is seeking a highly skilled Senior Data Analyst to support the Naval Criminal Investigative ...

VAST Data

Sr. Data Analyst (Sales)

Manhattan, NY · On-site +1

$94K - $119K/yr

Description VAST Data is looking for a Sr. Data Analyst Sales to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an ...

City of Racine

Meter Worker

Racine, WI · On-site

$60K - $84K/yr

Reads, collects, and downloads meter data using a hand-held device and laptop computer; Responsible ... Skill in analyzing, diagnosing, correcting mechanical failures and defects. Skill in using ...

SPP

Lead or Senior Technical Analyst

Little Rock, AR · On-site

$112K - $145K/yr

... data including meter data and interchange values • Request, collect, prepare, and validate ... Senior Technical Analyst - BA • 6 years of job-related experience with at least three (3) years ...

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Senior Meter Data Analyst information

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$55K

$99.2K

$135.5K

How much do senior meter data analyst jobs pay per year?

As of Jul 16, 2026, the average yearly pay for senior meter data analyst in the United States is $99,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Meter Data Analyst vs Meter Data Analyst?

AspectSenior Meter Data AnalystMeter Data Analyst
Required CredentialsBachelor's degree in data analysis, engineering, or related field; experience in utility data managementBachelor's degree in similar fields; entry to mid-level experience
Work EnvironmentUtility companies, energy providers, or consulting firms; focus on data analysis and reportingSimilar environments; primarily data collection, validation, and reporting
Employer & Industry UsageCommonly employed in energy, water, or utility sectors for managing meter dataUsed across utility industries for data processing and analysis

The main difference between a Senior Meter Data Analyst and a Meter Data Analyst lies in experience level and responsibilities. Senior roles typically involve more complex data analysis, mentorship, and strategic input, while Meter Data Analysts focus on data collection and basic analysis. Both roles are vital in utility sectors, often requiring similar credentials and working in comparable environments.

What are some common challenges faced by Senior Meter Data Analysts when working with large-scale utility data sets?

Senior Meter Data Analysts often encounter challenges related to data quality, such as incomplete or inconsistent meter readings, and integrating data from various sources or legacy systems. Ensuring data accuracy and reliability while managing large volumes of information requires advanced analytical skills and close attention to detail. Additionally, collaborating with cross-functional teams like IT, engineering, and field operations is essential for troubleshooting data pipeline issues and implementing improvements. Staying current with data analytics tools and regulatory requirements also plays a significant role in overcoming these challenges.

What are the key skills and qualifications needed to thrive as a Senior Meter Data Analyst, and why are they important?

To thrive as a Senior Meter Data Analyst, you need strong analytical skills, advanced knowledge of data management, and a degree in a relevant field such as statistics, engineering, or computer science. Familiarity with meter data management systems (MDMS), SQL databases, and data analytics tools like Python, R, or Tableau is typically required, along with relevant certifications. Excellent attention to detail, problem-solving abilities, and effective communication help you interpret data and collaborate with cross-functional teams. These skills are crucial for ensuring data accuracy, optimizing utility operations, and supporting informed decision-making.

What does a Senior Meter Data Analyst do?

A Senior Meter Data Analyst is responsible for analyzing and interpreting data collected from utility meters, such as electricity, gas, or water meters. They ensure data accuracy, identify usage trends, and help detect anomalies or inefficiencies in consumption. Their work supports operational decision-making, regulatory compliance, and customer billing. Senior Meter Data Analysts often use advanced analytics tools and collaborate with IT, engineering, and customer service teams to improve meter data management processes.
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Senior Meter Data Analyst jobs near you
Infographic showing various Senior Meter Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $99,231 per year, or $47.7 per hour.
Data Analyst

Data Analyst

Meter, Inc

San Francisco, CA • On-site

$190K - $270K/yr

Full-time

Posted 5 days 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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