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Data Analytics Supervisor Jobs (NOW HIRING)

Pacific Consolidated Industries LLC

Be Seen First

Data Analytics Analyst

Riverside, CA · On-site

$45K - $103K/yr

Supervisory Responsibilities This job has no supervisory responsibilities. Competencies To perform ... Education and/or Experience Bachelor's degree in data science, Business Analytics, Supply Chain ...

City of New York

Data Analytics Specialist

Manhattan, NY · On-site

$100K - $125K/yr

... supervisors concerning parcels with filed Industrial Commercial Abatement Program (ICAP ... Research and provide additional data and analysis. -Assist other business units with special ...

Royal Caribbean Cruise Line

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

Employees will be required to perform any other job-related duties assigned by their supervisor or ... data analysis, data mining, business case development or other related analytical projects.

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Data Analytics Supervisor information

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$31K

$97.1K

$172K

How much do data analytics supervisor jobs pay per year?

As of Aug 23, 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 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?

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.

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 is the role of a data analytics supervisor?

A data analytics supervisor oversees data analysis teams, manages data collection and interpretation, and ensures accurate reporting to support business decisions. They often use tools like SQL, Excel, and data visualization software, and require strong leadership and analytical skills. The role involves coordinating projects, maintaining data quality, and implementing best practices in data management.
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Data Analytics Supervisor jobs near you
Infographic showing various Data Analytics Supervisor job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Manufacturing Data Analyst - Durham, NC

PowerSecure, Inc.

Raleigh, NC

Full-time

Posted 3 days ago

New

Job description

Job Summary:

The Manufacturing Data Analyst develops, implements, analyzes, reports, and
maintains all the assigned reports to be completed on time and accurate. This individual must deliver reports that have sound data integrity, ensuring the scope of the data request has been fulfilled to the furthest extent possible.

Minimum Qualifications: (Education, Experience, Knowledge, and Skills):

  • Demonstrates a high level of competency and experience with ERP Systems, TMS systems, and/or inventory/warehousing systems
  • Demonstrates a high level of competency with Microsoft Excel
  • 5+ years of experience in manufacturing, supply chain, or analytical business role Demonstrates the ability to pay very close attention to detail and immediately notice any discrepancies in data sets
  • Shows the ability to solve complex problems individually and quickly
  • Possesses the ability to create solutions to previously unsolved issues
  • Must be able to communicate well with others to understand and deliver solutions to internal customers
  • Shows professionalism, particularly when working with clients and customers or other departments within the company.
  • Has the ability to explain complex reports to internal customers, and tell the story of the key takeaways and information from the reports.
  • Ability to read and interpret documents such as safety rules, operations manual, and written directions.
  • Proficient in developing reports using PowerBI
  • Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals.

Job Duties and Responsibilities:

  • Work with Management team and the Manufacturing Data Analytics Supervisor to identify and execute assigned requests and tasks
  • Regularly monitor previously delivered reports to ensure data integrity as new characteristics in the data are presented to ensure there are not problems
  • Explain and deliver data in a manner that is easy to interpret and user-friendly
  • All other duties as assigned.

Physical Demands and Work Environment:

  • Must be able to lift up to 50 pounds frequently.
  • Extended standing walking and repetitive movements.
  • Warehouse and office environment. Some air-conditioned space some unconditioned.

About Us

PowerSecure, a Southern Company subsidiary, is a leading provider of innovative energy solutions to electric utilities and their industrial, institutional, and commercial customers.

Join Our Power Team!

We invest in high-value and cost-effective benefits for our employees. Our benefits package includes:

  • Medical, dental, vision and life insurance coverage
  • Competitive pay and a matching 401 (k) plan
  • Vacation, Company Holidays, Paid Time Off (PTO- personal and sick days)
  • Flexible spending accounts/Health savings account
  • Wellness Incentive Programs
  • Employee Referral Program
  • Tuition Reimbursement

PowerSecure is an Equal Opportunity/Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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