1

Data Analytics Supervisor Jobs (NOW HIRING)

Posting Details Position Information Posting Number F0997P Position Title Lecturer - Data Analytics ... have supervisory responsibility? No Posting Date 04/08/2026 Closing Date Open Until Filled Yes ...

next page

Showing results 1-20

Data Analytics Supervisor information

See salary details

$31K

$97.1K

$172K

How much do data analytics supervisor jobs pay per year?

As of Jul 12, 2026, the average yearly pay for data analytics supervisor in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Analytics Supervisor vs Data Analyst?

AspectData Analytics SupervisorData Analyst
CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often requires experience in leadership rolesBachelor's degree in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentOversees teams, manages projects, collaborates with managementPerforms data analysis, reports findings, supports decision-making
Employer & Industry UsageUsed across industries like finance, healthcare, tech; common in organizations with analytics teamsFound in similar industries; often entry to mid-level role supporting analytics projects

The main difference is that Data Analytics Supervisors oversee teams and manage projects, while Data Analysts focus on analyzing data and generating reports. Supervisors typically have more experience and leadership responsibilities, whereas Data Analysts are more hands-on with data processing and analysis tasks.

What does a Data Analytics Supervisor do?

A Data Analytics Supervisor oversees a team of data analysts, ensuring they collect, process, and analyze data effectively to support business decisions. They are responsible for managing projects, setting goals, and providing technical guidance to their team. Additionally, they collaborate with other departments to identify data needs, develop strategies, and present insights to leadership. The role requires strong analytical, communication, and leadership skills.

What are the key skills and qualifications needed to thrive as a Data Analytics Supervisor, and why are they important?

To thrive as a Data Analytics Supervisor, you need strong analytical abilities, leadership experience, proficiency in statistical analysis, and a relevant degree in data science, statistics, or a related field. Familiarity with tools like SQL, Python, R, and business intelligence platforms (e.g., Tableau, Power BI) is typically required, along with experience managing data projects and teams. Excellent communication, problem-solving, and team management skills distinguish top performers in this role. These competencies are crucial for translating data insights into actionable strategies, guiding teams effectively, and ensuring the organization's data-driven decision-making success.

How does a Data Analytics Supervisor typically collaborate with cross-functional teams within an organization?

A Data Analytics Supervisor often works closely with departments such as marketing, finance, operations, and IT to identify analytical needs and deliver actionable insights. They facilitate meetings to understand business objectives, translate requirements into data-driven solutions, and ensure that analytics projects align with broader organizational goals. Effective communication and the ability to translate complex data findings into clear, actionable recommendations are critical for fostering strong interdepartmental collaboration.
More about Data Analytics Supervisor jobs
What cities are hiring for Data Analytics Supervisor jobs? Cities with the most Data Analytics Supervisor job openings:
What states have the most Data Analytics Supervisor jobs? States with the most job openings for Data Analytics Supervisor jobs include:
Infographic showing various Data Analytics Supervisor job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Senior Data Analytics Manager

Senior Data Analytics Manager

Southern California Edison (SCE)

Pomona, CA โ€ข On-site

$182K - $274K/yr

Full-time

Re-posted 5 days ago


Job description

Join the Clean Energy Revolution
Become a Senior Data Analytics Manager at Southern California Edison (SCE) and build a better tomorrow. In this job, you'll be leading a talented and dynamic team that provides centralized data, analytics, and reporting on SCE's assets and operations to support operational decisions, enable regulatory compliance, and inform data-driven strategies.
As a Senior Data Analytics Manager, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future?
Responsibilities
  • Advises business leaders by providing data-based strategic direction to identify and address business issues and opportunities.
  • Identifies areas to increase efficiency and automate data analysis processes.
  • Plans, manages, and controls the activities of a team or teams of analysts that provide business intelligence and strategic planning support for business segments or the company at large.
  • Leads initiatives to analyze complex business problems and issues using data from internal and external sources.
  • Brings expertise or identifies subject matter experts in support of multi-functional efforts to identify, interpret, and produce recommendations and plans based on company and external data analysis.
  • Ensures that policies and procedures align with corporate vision.
  • Oversees the activities of defining data requirements, data collection, processing, cleaning, analysis, modeling, and visualization.
  • Examines and identifies data patterns and trends to help answer business questions and improve decision-making.
  • Provides input for complex data science and big data mining projects.
  • A material job duty of all positions within the Company is ensuring the protection of all its physical, financial, and cybersecurity assets and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity.

Minimum Qualifications
  • Five or more years of experience managing or supervising an organization or unit, or five or more years of project-management experience.
  • Experience with data analysis and data systems and software.

Preferred Qualifications
  • Bachelor's or master's degree in computer science, statistics, mathematics, data analytics, or a closely related science and engineering field.
  • Five or more years of hands-on experience working in data analytics roles, including experience with ETL processes and navigating ambiguity within available data sources.
  • Hands-on experiences with languages like Python, SQL, or SAS and SAP as well familiarity with cloud computing environments (e.g., AWS, Azure, Google Cloud) and data visualization tools like SAP Datasphere or Power BI.
  • Experience designing and maintaining processes to manage high volumes of analytical requests, ensuring timely delivery and consistently high-quality outputs.
  • Experience overseeing responses to regulatory data requests from external agencies (e.g., Energy Safety, SED) and compliance reporting, including assigning work, reviewing the accuracy of the outputs, meeting tight deadlines and ensuring consistency with prior submissions.
  • Experience driving process improvements, automation, and standardization of analytics workflows to improve efficiency, reduce manual effort, and enhance data quality
  • Experience providing technical direction and subject matter expertise on asset data, asset inspections, notifications, work orders and compliance requirements.

Additional Information
  • This position's work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days. Unless otherwise noted, employees are required to work and reside in the state of California. Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs.
  • Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!
  • Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
  • The primary work location for this position is Pomona, CA. However, the successful candidate may also be asked to work for an extended amount of time at (alternate work location).
  • Relocation may apply to this position.

About Southern California Edison
The people at SCE don't just keep the lights on. Our mission is so much bigger. We're fueling the kind of innovation that's changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you'll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.
Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status.
We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at (833) 343-0727.