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Data Analytics Supervisor Jobs (NOW HIRING)

Molina Healthcare

Manager, Data Analytics

Long Beach, CA · On-site +1

$79K - $172K/yr

... supervisory and/or management experience in Managed Care or Medicare related field * 3+ years in ... Must have hands on data analytics and people management experience. * Experience working on PowerBI ...

Corning

Scientist, Data Analytics

Corning, NY · On-site

$71K - $98K/yr

Perform data analysis and interpret results in RD&E or business environments. * Work independently ... self-supervised learning). * Practical experience using machine learning and deep learning ...

Corning

Scientist, Data Analytics

Corning, NY

$71K - $98K/yr

Perform data analysis and interpret results in RD&E or business environments. * Work independently ... self-supervised learning). * Practical experience using machine learning and deep learning ...

Corning

Scientist, Data Analytics

Corning, NY · On-site

$71K - $98K/yr

Perform data analysis and interpret results in RD&E or business environments. * Work independently ... self-supervised learning). * Practical experience using machine learning and deep learning ...

Royal Caribbean Group

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.

ICI Services

Data Analytics Task Lead

Washington, DC

Experience training other data analytics personnel to ensure their competency. * 5+ years of experience supervising Data Analytics teams. * DoD/DoN procedures and Policies (DoD 5000 process); DoD/DoN ...

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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 Jun 22, 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 analyst supervisor do?

A data analyst supervisor oversees a team of data analysts, ensuring accurate data collection, analysis, and reporting. They develop data strategies, review analysis work, and collaborate with other departments to support decision-making, often using tools like SQL, Excel, or data visualization software. Strong leadership and communication skills are essential for managing projects and guiding team members.

What is the highest paying job in data analytics?

The highest paying roles in data analytics typically include Data Science Directors, Chief Data Officers, and senior Data Analytics Managers, especially those overseeing large teams or strategic initiatives. These positions often require advanced skills in machine learning, big data tools, and leadership, with salaries reaching into the high six or seven figures for experienced professionals in large organizations.

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.

What are the 5 C's of data analytics?

The 5 C's of data analytics are commonly considered to be Completeness, Consistency, Accuracy, Timeliness, and Uniqueness. These principles help data analysts and supervisors ensure data quality and reliability for accurate insights and decision-making.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can enhance efficiency, skilled data analysts are still essential for interpreting results, developing models, and providing context-specific recommendations. The role is evolving rather than being replaced entirely, emphasizing the importance of skills in data visualization, programming, and domain knowledge.
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Data Analytics Supervisor jobs near you
Infographic showing various Data Analytics Supervisor job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Data Analytics Coordinator

Data Analytics Coordinator

Louisiana Primary Care Association

Baton Rouge, LA • On-site

Full-time

Posted 22 days ago

Job description

Position Title: Data Analytics Coordinator
Fulltime Exempt
Supervisor: Analytics and Research Manager | Healthcare Technology and Optimization Manager | HCCN Project Manager
Position Summary: The Data Analytics Coordinator at the Louisiana Primary Care Association (LPCA) is responsible for supporting comprehensive data analytics initiatives and research activities across LPCA's network of Federally Qualified Health Centers (FQHCs). This role leverages analytical tools and methodologies to extract meaningful insights from healthcare data, supporting evidence-based decision-making and quality improvement efforts. The Data Analytics Coordinator collaborates with cross-functional teams to ensure completeness and accuracy of reports for process improvement, research initiatives, and grant compliance, while supporting LPCA's mission to promote accessible, affordable, quality healthcare services for underserved populations.
Responsibilities:
  • Collaborate with cross-functional teams to identify research objectives and key performance indicators (KPIs),
  • Develop reports and organize data visuals to communicate findings to stakeholders,
  • Assist in designing and executing research studies, including surveys, experiments, and observational studies,
  • Stay up-to-date with industry trends and best practices in analytics and research methodology,
  • Support the development and implementation of data-driven strategies to drive business growth and optimize performance,
  • Perform ad-hoc analysis and provide actionable recommendations to stakeholders,
  • Compile data and ensure validity from multiple assessments to develop profiles for each grant,
  • Create surveys and coordinate administration of surveys,
  • Query and translate data visually into tables, charts, graphs, and narrative presentations to produce user-friendly reports,
  • Support compliance efforts company grants to protect the confidentiality and accuracy of data,
  • Analyze, synthesize, and interpret reports for use in decision-making.

Requirements:
  •  Bachelor's degree. Minimum of 1-2 years of relevant experience in data analysis, research, project coordination, or administrative support, preferably in healthcare or government settings
  • Experience with data collection methodologies and report preparation
  • Understanding of one or more data analysis tools and programming languages such as Python, R, SQL, etc.
  • Proficiency with Microsoft Office Suite, particularly Excel for data manipulation and analysis
  • Experience with data aggregation and data visualization tools like Excel and Smartsheet
  • Familiarity with population health tools like i2i and Azara (preferred)
  • Knowledge of report writing and data presentation techniques
  • Detail-oriented with a strong commitment to accuracy and quality,
  • Ability to work independently and collaboratively in a fast-paced environment,
  • Communicate effectively, verbally, and in writing.