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Utility Data Analyst Jobs (NOW HIRING)

Role Description We are looking for a Data Analyst to join our team. In this role, you will be ... Experience developing Python utility packages for use across multiple scripts, chunking large ...

Role Description We are looking for a Data Analyst to join our team. In this role, you will be ... Experience developing Python utility packages for use across multiple scripts, chunking large ...

Utility industry knowledge, especially gas utilities * Knowledge of typical data patterns for ... lineage analysis * Knowledge of CMDB data models * Data Governance principles and methods

Renewables (Solar and Wind), Electric Utility (Transmission, Substation and Distribution), Oil ... Data Analysts do more than merely presenting numbers and figures to management. They take more in ...

Experience working with enterprise utility software systems * Experience performing complex data queries and developing analytical solutions * Experience collaborating with internal and external ...

They serve the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries. Role We are seeking Data Analyst (3 positions) with ...

Job Summary: The Senior Data Analyst is an expert in the field of data who leverages their ... Our products impact public utilities, industrial sectors, residential areas, and commercial ...

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 ...

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 ...

In this role, you will analyze power and cooling performance data, develop forecasts for utility consumption and costs, build and maintain business analytics dashboards, and deliver data-driven ...

Data Analyst

Tulsa, OK · On-site

$65K/yr

... or utilities. • Develops reports, visualizations, & extracts of data that ensure timely and ... data analysis best practices. • Ensures data integrity, recommends action to maintain data ...

... or utilities. • Develops reports, visualizations, & extracts of data that ensure timely and ... data analysis best practices. • Ensures data integrity, recommends action to maintain data ...

Job Summary We are seeking a skilled and detail-oriented Data Analyst to join our team in the energy and utilities sector. The ideal candidate will have a strong background in data analysis, with ...

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Utility Data Analyst information

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$34K

$82.6K

$136K

How much do utility data analyst jobs pay per year?

As of Jun 1, 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 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.

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 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.
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:

Full-time

Posted 13 days ago


Job description

Company Overview:
Our company is a start-up that specializes in episodes of care benefit plans. We have a deep expertise in episode pricing and analytics and our goal is to bring transparency and efficiency to the healthcare market. Our company is committed to providing high-quality, affordable healthcare to our customers.
Role Description
We are looking for a Data Analyst to join our team. In this role, you will be responsible for supporting our episode pricing and analytics operations, both to internal stakeholders as well as external customers. You will develop reports and visualizations that clearly communicate data-driven insights.
Responsibilities
  • Analyze large amounts of healthcare data from multiple sources to support business decision making
  • Perform exploratory data analyses and evaluate data quality and usability.
  • Assist in the development and maintenance of ETL/ELT pipelines using established templates and internal tools.
  • Perform routine data audits to flag quality issues, develop reports to monitor pricing quality and coverage, and assist in developing workarounds to data limitations.
  • Assist in gathering data requirements by participating in stakeholder meetings and documenting business needs.
  • Work closely with team members to identify key metrics and understand the "why" behind data requests.
  • Document existing data workflows to help the team identify inefficiencies or error prone areas (available tools include Miro, Confluence, and Jira)

Qualifications
  • Bachelor's degree ideally in a quantitative field, such as statistics, mathematics, economics, or computer science.
  • 1-2 years of experience using Python (pandas/numpy) for data analysis, including composing robust data processing code to enforce expected patterns, handle exceptions, and evaluate data usability/quality through exploratory data analyses.
  • Exposure to large-scale datasets; experience with healthcare claims or administrative data is a major plus but not required.
  • Ability to perform descriptive analysis and translate findings into clear charts or summaries for the team.
  • Excellent communication skills, with the ability to translate complex data into clear and actionable insights.
  • Strong organizational skills, with the ability to work on multiple projects and priorities in a fast-paced environment.
  • Basic familiarity with Git for version control (e.g., branching, committing, pulling code, and submitting pull requests)

Preferred Qualifications:
  • Knowledge of a BI tool (i.e., Looker, PowerBI)
  • Knowledge of basic statistical concepts and models (e.g. OLS, sampling variability, conditional probability, outlier detection, etc.)
  • Experience using SQL databases and Python packages (pandas, sqlalchemy, multiprocessing)
  • Experience developing Python utility packages for use across multiple scripts, chunking large datasets for efficient processing, and using abstraction to refactor complex processes
  • Knowledge of healthcare markets, specifically with respect to value-based care
  • Familiarity with AI-assisted coding tools such as Codex CLI, Cursor, Claude Code, etc.