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Data Analytics Supervisor Jobs (NOW HIRING)

We are a global digital agency comprised of strategists, creatives, media experts, data scientists ... We're looking for an Analytics Supervisor to lead measurement, analysis, and insights across paid ...

Analytics Supervisor

Chicago, IL ยท On-site

$85K - $100K/yr

Data Science and Analytics Position Reports To: Director, Data Intelligence Department: Data & Analytics - Strategy Office Location: Chicago, Illinois Overview As an Analytics Supervisor at BBDO ...

Data Science and Analytics Position Reports To: Director, Data Intelligence Department: Data & Analytics - Strategy Office Location: Chicago, Illinois Overview As an Analytics Supervisor at BBDO ...

Ability to translate ambiguous questions into structured analytics Supervisor Responsibilities : * None. This is an individual contributor role Education * Bachelor's degree in Computer Science, Data ...

Ability to translate ambiguous questions into structured analytics Supervisor Responsibilities : * None. This is an individual contributor role Education * Bachelor's degree in Computer Science, Data ...

Manager, Data Analytics (Individual Contributor) Although this role currently carries a Manager ... Manages a group or team of professional individual contributors and/or indirectly supervises ...

Manager, Data Analytics (Individual Contributor) Although this role currently carries a Manager ... Manages a group or team of professional individual contributors and/or indirectly supervises ...

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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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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:

What job categories do people searching Data Analytics Supervisor jobs look for?

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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.

Data Analytics Supervisor

Ohio Department of Taxation

Columbus, OH โ€ข On-site

Full-time

Posted 13 days ago


Job description

Join Our Team!

Accepting applications for a Data Analytics Supervisor

Who Are We?

The Ohio Department of Developmental Disabilities (DODD) mission is to partner with people and communities to support Ohioans with developmental disabilities and their families in realizing their version of a good life.ย 

Ohio is the heart of opportunity, and we envision Ohio as the best place in the nation for people with developmental disabilities to thrive. Our core values reflect our focus on the experience of each person we support:

  • Inclusionย 

  • Partnership

  • Respect

What does a Data Analytics Supervisor do?

  • Serves as data analyst supporting Major Unusual Incidents (MUI) and Compliance operations within the Department of Developmental Disabilities (DODD).ย 

  • Develops and maintains Tableau dashboards, reports, automated reporting solutions, and ad hoc analyses related to MUI activities, compliance reviews, provider oversight, county board oversight, and operational performance.ย 

  • Supports reporting and analytics activities using data from multiple DODD systems, including ITMS and RDS, as well as Medicaid claims and other health-related data sources.ย 

  • Analyzes data trends, patterns, and operational issues to support program staff, leadership, county boards, providers, and other stakeholders.ย 

  • Generates, tracks, and automates performance measures, ensuring timely tracking of agency goals, outcomes, and reporting requirements.ย 

  • Validates data accuracy and assists with identifying reporting, data quality, and system concerns.ย 

  • Responds to questions from county boards, providers, internal staff, and other stakeholders.ย 

  • Works independently to identify reporting needs, prioritize assignments, and develop data solutions that support agency operations and decision-making.ย 

  • Utilizes reporting and analytics tools including Tableau, SQL, Python, and other technologies, as appropriate.

  • Develops and maintains documentation, report definitions, business rules, and reporting standards.

  • Participates in office hours and provides guidance and support to report and dashboard users and stakeholders.ย 

  • Participates in agency-wide data committees, reporting workgroups, and data governance and data quality initiatives.

  • Coordinates with program areas and information technology staff to improve reporting processes, data quality, and understanding of DODD systems and business processes.

  • Maintains working knowledge of DODD systems, Medicaid and health-related data, and how data connects and flows across systems.

  • Supports emerging analytics, automation, and agentic AI initiatives that improve reporting, data access, operational efficiency, and user support.

  • Participates in and provides cross-training across reporting and analytics functions to promote knowledge sharing, ensure continuity of operations, provide backup coverage, and reduce reliance on single-person subject matter expertise.

  • Oversees data analytics college intern.

  • Serves as the primary data coordination contact for public records requests (PRR) under Ohio's Public Records Act (R.C. 149.43) involving reports, analytics, and DODD data.

  • Coordinates with program staff, leadership, legal staff, and other stakeholders to identify, review, prepare, validate, and deliver requested data and reporting materials.

  • Performs other related duties as assigned.

72 months' experience or training in data analytics, statistical analysis, or research methods AND 12 months' experience in supervisory &/or management principles & techniques.ย 
OR
Completion of associate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field AND 54 months' experience or trainingย  in data analytics, statistical analysis, or research methods AND 12 months' experienceย  in supervisory &/or management principles & techniques.ย 
OR
Completion of undergraduate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field AND 48 months' experience or training in data analytics, statistical analysis, or research methods AND 12 months' experience in supervisory &/or management principles & techniques.ย 

OR

Completion of graduate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field AND 36 months' experience or trainingย in data analytics, statistical analysis, or research methods; 12 mos. exp. in supervisory &/or management principles & techniques.ย 
OR
Equivalent of Minimum Class Qualifications For Employment noted above.ย 

Job Skill: Data Analytics, Data Visualization, Operational and Administrative Support, Leading Others, Developing Others, Confidentiality, Analyzation