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Senior Meter Data Analyst Jobs in Renton, WA (NOW HIRING)

Data Analyst 3 - Supply Chain Planning

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Analyst 3 is a senior individual contributor on the Supply Chain Operations Planning analytics team, anchored in core planning analytics with a significant and growing focus on applied AI.

Data Quality Analyst II

Seattle, WA · On-site

$77K - $116K/yr

We are seeking a highly motivated and detail-oriented Senior Data Quality Analyst to join our team. The Data Quality Analyst 2 will be responsible for ensuring the accuracy, completeness, and ...

Data Analyst 3 - Supply Chain Operations

Seattle, WA

$102K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Analyst 3 will be a senior member of the Supply Chain Analytics team, owning the delivery of data and insights for Nordstrom's Supply Chain Organization. The Data Analyst 3 will provide ...

Data Protection, A/SA-Evergreen

Seattle, WA

$84K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data governance, and privacy solutions for Avanade clients. You'll work under the guidance of senior team members ...

Sr BI/Analytics Developer

Seattle, WA · Remote

$90 - $125/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Analyst will work with large healthcare datasets, build financial and operational models, develop Power BI dashboards, write advanced SQL queries, and translate complex data into ...

Sr BI/Analytics Developer

Seattle, WA · Remote

$90 - $125/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Analyst will work with large healthcare datasets, build financial and operational models, develop Power BI dashboards, write advanced SQL queries, and translate complex data into ...

Showing results 41-60

Senior Meter Data Analyst information

See Renton, WA salary details

$61.9K

$111.6K

$152.4K

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

As of Aug 17, 2026, the average yearly pay for senior meter data analyst in Renton, WA is $111,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $122,000.00 per year, depending on experience, location, and employer.

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.

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 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 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 job categories do people searching Senior Meter Data Analyst jobs in Renton, WA look for?

The top searched job categories for Senior Meter Data Analyst jobs in Renton, WA are:

What cities near Renton, WA are hiring for Senior Meter Data Analyst jobs?

Cities near Renton, WA with the most Senior Meter Data Analyst job openings:

Infographic showing various Senior Meter Data Analyst job openings in Renton, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $111,617 per year, or $53.7 per hour.

Data Analyst 3 - Supply Chain Planning

Nordstrom, Inc.

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Nordstrom rating

6.8

Company rating: 6.8 out of 10

Based on 424 frontline employees who took The Breakroom Quiz

4th of 21 rated department stores


Job description

Job Description
Nordstrom is committed to being the leader in Omnichannel retailing. We have long recognized the importance of having strong capabilities in both Physical and Digital retailing and we continue to innovate on how we can help our customers Feel Good and Look Their Best.
The Data Analyst 3 is a senior individual contributor on the Supply Chain Operations Planning analytics team, anchored in core planning analytics with a significant and growing focus on applied AI. On the applied AI side, you'll be a key contributor to a live, LLM-powered platform for supply chain intelligence - building and maintaining the knowledge base, tool library, and quality controls that make the agent trustworthy, accurate, and genuinely useful to planners and leaders. This is hands-on applied-AI work that teams already rely on, not a research experiment and not a maintenance seat. On the analytics side, this role owns dashboards, data pipelines, variance analysis, and the underlying data models that power weekly and monthly planning cycles - and that foundational analytics work is inseparable from the AI platform: the domain expertise, SQL rigor, and data quality standards you build here are exactly what keeps the AI's answers grounded in real operations.
You'll operate at both ends of the spectrum: building and maintaining the planning analytics that planners and leaders depend on every week, and helping build out the LLM-powered knowledge platform that turns validated business rules into trustworthy, self-serve answers. Strong SQL, Python, and data-modeling fundamentals are essential, along with genuine comfort using AI-assisted development tools as part of a daily workflow and practical experience working with LLM-based systems.
A day in the life...
  • Build, maintain, and expand the AI knowledge base - authoring structured domain content (validated SQL, business rules, glossary definitions, workflow summaries) and curating the agent's tool library so it answers planning questions accurately and confidently
  • Run and extend the evaluation and quality controls for the AI platform - writing test cases, running evals, and diagnosing hallucinations and retrieval gaps, then closing them with better content or tooling
  • Develop and maintain the Python tooling and automation that keeps the knowledge base current - freshness checks, extraction scripts, scheduled jobs that sync new data into the agent's context
  • Propose and prototype new agent capabilities with the team - new planning domains, retrieval patterns, and tool definitions - and help validate and ship them
  • Own and maintain core planning analytics deliverables - BigQuery pipelines, Looker and Tableau dashboards, and the data models behind weekly and monthly Ops Planning cycles (WBR, MBR, forecast accuracy, variance reporting)
  • Build the reusable data models, query libraries, and SQL patterns that power self-serve analytics and provide the validated, authoritative source of truth the AI platform depends on
  • Execute and support ad hoc analysis to resolve planning risks and answer executive questions, from diagnosing forecast misses to sizing the impact of operational decisions
  • Identify and develop new measures and KPIs across outbound fulfillment, inbound receiving, inventory, returns, and capacity that improve planning visibility and decision quality
  • Support weekly business rhythms and the creation of key planning deliverables; partner with planners and business stakeholders to understand evolving analytical needs
  • Champion data quality and data governance within the Ops Planning team, coordinating with Data Engineering, Data Science, and Technology as needed

You own this if you have...
  • Degree in Finance, Statistics, Mathematics, Analytics, Computer Science, or related field required
  • 4+ years of data analytics experience; demonstrated ability to deliver business-critical analytics independently and raise analytical standards across a team
  • Hands-on experience with AI-assisted development and productivity tools (e.g., Claude Code, Claude Desktop) to accelerate analysis, automate data workflows, and produce higher-quality output faster
  • Practical experience working with LLM-based systems - prompt design, tool/function definitions, retrieval patterns (RAG), evaluation frameworks, or curating structured knowledge for AI consumption
  • Advanced SQL skills with hands-on BigQuery experience; strong understanding of data warehousing, dimensional modeling, and query construction
  • Demonstrated ability to build and maintain data pipelines and lightweight automation in Python, including validation, monitoring, and workflow scripts
  • Proficiency with at least one leading visualization tool (Looker preferred) and best practices for operational dashboarding
  • Strong operational business understanding, including the downstream effects of forecast accuracy, fulfillment decisions, and planning cadence on cost and service
  • Supply chain expertise in retail or consumer goods preferred, with familiarity in outbound fulfillment, inbound operations, inventory, returns, or capacity planning
  • Strong written and verbal communication skills; comfortable presenting findings to business stakeholders and operational leadership

Pay Range Details
The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations.
Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience.
$102,500.00 - $170,500.00 Annual
We've got you covered...
Our employees are our most important asset and that's reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:
  • Medical/Vision, Dental, Retirement and Paid Time Away
  • Life Insurance and Disability
  • Merchandise Discount and EAP Resources

This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_17-19.pdf
A few more important points...
The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.
For Los Angeles or San Francisco applicants: Nordstrom is required to inform you that we conduct background checks after conditional offer and consider qualified applicants with criminal histories in a manner consistent with legal requirements per Los Angeles, Cal. Muni. Code 189.04 and the San Francisco Fair Chance Ordinance. For additional state and location specific notices, please refer to the Legal Notices document within the FAQ section of the Nordstrom Careers site.
Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com.
Please be mindful that there may be legal notices and requirements related to this job posting that are specific to your state. Review the Career Site FAQ's for relevant information and guidelines.
Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.
Nordstrom keeps job postings open for at least one day after the posting date.
© 2026 Nordstrom, Inc

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