Advanced Metering System Data Analyst (Level III - Sr. II)

Dallas, TX, US • Posted 1 day ago • Updated 11 hours ago
Full Time
On-site
USD $80,379.00 - 134,665.00 per year
Fitment

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Job Details

Skills

  • Distribution
  • Customer Service
  • Relational Databases
  • Time Series
  • Performance Metrics
  • Root Cause Analysis
  • System Integration Testing
  • Data Collection
  • Asset Management
  • Workforce Management
  • Energy
  • Training
  • Dashboard
  • Embedded Software
  • Decision-making
  • Microsoft Word
  • Microsoft Excel
  • Microsoft Access
  • Microsoft SharePoint
  • SQL
  • Data Entry
  • Database
  • Communication
  • Leadership
  • Reporting
  • Visualization
  • Problem Solving
  • Conflict Resolution
  • Selenium
  • Data Science
  • Analytical Skill
  • Python
  • Apache Hadoop
  • R
  • Testing
  • Management
  • Statistics
  • Mathematics
  • Computer Science
  • Business Administration
  • Analytics
  • Data Analysis
  • Business Planning
  • Effective Communication
  • Customer Satisfaction
  • Policies and Procedures
  • Performance Management
  • Life Insurance

Summary

Salary Range: $80,379- $134,665
Relocation: No


About Us

Oncor Electric Delivery Company LLC, headquartered in Dallas, is a regulated electricity transmission and distribution business that uses superior asset management skills to provide reliable electricity delivery to consumers. Oncor (together with its subsidiaries) operates the largest transmission and distribution system in Texas, delivering power to nearly 4 million homes and businesses and operating more than 144,000 miles of transmission and distribution lines in Texas.

Summary

The Advanced Metering System (AMS) Data Analyst position uses data to obtain information about topics related to Oncor's AMS. The AMS Data Analyst must gather relevant data, interpret it to extract the requested information, and present results in formats such as charts or reports. The data used to support daily analysis includes meter asset data, meter event data, meter communication data, meter energy data, customer information, customer service order data, and other related data maintained across various documents, relational databases, and time series databases. Information derived from AMS data is used to support system performance metrics, root cause analysis of meter equipment failures, maintenance activities, and similar operational needs.

The AMS Data Analyst will perform most work on a computer, either at a desk in an office or onsite, and must be able to sit for extended periods. The position may require working more than 40 hours per week to meet deadlines, particularly during critical project phases. You will be required to report onsite five days a week at the Downtown Dallas Corporate Office. We are considering applicants with multiple experience levels. Please review all details related to responsibilities, education, and experience requirements for each level.

Key Roles & Responsibilities
  • Assists in collecting Oncor's AMS requirements, identifying technical issues, and designing reports to meet data analysis needs.
  • Provides feedback and ideas regarding new data sources and methods to improve data collection, analysis, and reporting.
  • Collects, analyzes, and reports data to meet Oncor's AMS requirements.
  • Designs basic reports to monitor and analyze AMS system processes related to daily and fifteen-minute interval energy data.
  • Designs basic reports to validate the synchronization of the AMS application with other applications, including the customer information system, asset management system, and mobile workforce management system.
  • Designs basic reports to monitor and analyze meter assets, events, communications, energy, service orders, customer information, and other related data.
  • Designs basic reports to validate Market exceptions related to daily metering processes.
  • Receives instruction, guidance, and direction from others.
  • Deliver data visualizations in the form of dashboards, reports, or embedded application visualizations.
  • Develop analytical models to assist management in decision making.
  • Performs all essential job functions, as well as any other specific job requirements, maintenance activities, or similar tasks.

Skills
  • Proficient in Microsoft Word, Microsoft Excel, Microsoft Access, Microsoft SharePoint, SQL, data analysis, data entry, statistical analysis, and databases.
  • Strong communication skills.
  • Strong leadership skills.
  • Experience with reporting and visualization tools.
  • Analytical problem-solving skills.
  • Proficient automating tasks using Python.
  • Knowledge of Selenium.
  • Proficient with data science and advanced analytic development technologies (Python, Hadoop, R).
  • Experience testing software or managing projects.

Education and Experience

AMS Data Analyst III
  • High school diploma, GED, or equivalent and 2+ years of relevant work-related analytics experience is required.
  • Applicants with a Bachelor's Degree, preferably in statistics, mathematics, engineering, computer science, or business administration AND 1+ years of relevant analytics experience will be considered in lieu of the above criteria.
  • Applicants with data analytics related certifications encouraged to apply.

AMS Data Analyst Sr. I
  • High school diploma, GED, or equivalent and 3+ years of relevant work-related analytics experience is required.
  • Applicants with a Bachelor's Degree, preferably in statistics, mathematics, engineering, computer science, or business administration AND 2+ years of relevant analytics experience will be considered in lieu of the above criteria.
  • Applicants with data analytics related certifications encouraged to apply.
  • Master's Degree encouraged to apply.

AMS Data Analyst Sr. II
  • High school diploma, GED, or equivalent and 4+ years of relevant work-related analytics experience is required.
  • Applicants with a Bachelor's Degree, preferably in statistics, mathematics, engineering, computer science, or business administration AND 3+ years of relevant analytics experience will be considered in lieu of the above criteria.
  • Applicants with data analytics related certifications encouraged to apply.
  • Master's Degree encouraged to apply.

Measures of Success
  • Proficiency in skills, technologies, and practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning.
  • Achievement of quantitative, qualitative, and cost metrics.
  • Demonstrates effective communication with coworkers, supervisors, managers, Oncor departments, and external Oncor customers.
  • Demonstrates contribution to the workgroup and Company goals.
  • Achievement of defined Customer Satisfaction goals.
  • Adheres to Company policies and procedures.

Benefits

At Oncor, we offer a comprehensive set of benefits, compensation and performance management programs designed specifically to attract, retain, motivate and reward our high-performing workforce. Our supportive and inclusive culture allows every team member the opportunity to thrive and make a difference. We invest in our employee's success and well-being by offering such things as:
  • Annual incentive program.
  • Competitive health and welfare benefits (medical, dental, vision, life insurance).
  • Ability to earn wellness incentives (up to $2,300 in 2026 as an Employee only) and other wellbeing resources.
  • 401k with dollar-for-dollar company match up to 6%.
  • 401k match for student debt program.
  • Cash balance pension plan.
  • Tuition reimbursement.
  • Competitive vacation, 10 company holidays and 2 personal holidays.
  • Paid parental leave.
  • Other perks such as commuter benefits, electric vehicle incentive program, appliance purchase plan.

Participation in benefit programs for employees in collective bargaining units is subject to the applicable collective bargaining agreement.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX160985
  • Position Id: 963478cde555f287f1f803b9aa15a59e
  • Posted 1 day ago
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