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Data Analytics Supervisor Jobs in Connecticut (NOW HIRING)

Engineer - GEN AI

Orange, CT

$122K - $147K/yr

The AI engineer is an expert in machine learning, deep learning, and data analysis and creates ... Expert knowledge of machine learning techniques, including supervised and unsupervised learning ...

Engineer - GEN AI

Orange, CT · On-site

$141 - $176/hr

The AI engineer is an expert in machine learning, deep learning, and data analysis and creates ... Expert knowledge of machine learning techniques, including supervised and unsupervised learning ...

Research and analyze data that is received from providers and that is released for billing ... supervisory references, licensure, etc., at the request and discretion of the hiring agency.

Showing results 21-40

Data Analytics Supervisor information

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.

What are popular job titles related to Data Analytics Supervisor jobs in Connecticut?

For Data Analytics Supervisor jobs in Connecticut, the most frequently searched job titles are:

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

The top searched job categories for Data Analytics Supervisor jobs in Connecticut are:

Infographic showing various Data Analytics Supervisor job openings in Connecticut as of August 2026, with employment types broken down into 100% Full Time. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution.

Executive Director of Institutional Research & Strategic Analytics

University of Connecticut

Storrs, CT • On-site

$140 - $190/hr

Other

Re-posted 19 days ago


University Of Connecticut rating

9.3

Company rating: 9.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

9th of 622 rated colleges and universities


Job description

Executive Director of Institutional Research & Strategic Analytics

Search #: 499578
Work type: Full-time
Location: UConn Storrs
Categories: Executive

OVERVIEW

The University of Connecticut’s Institutional Research (IR) unit is in an exciting transitional phase with a new reporting line to the Provost’s Office and a renewed mission that includes providing decision analytics in support of institutional strategy grounded in data. The change has facilitated a close partnership with the institution’s innovation unit, i3 (https://i3.uconn.edu ), whereby the transition between institutional data (IR) and the development of analytic software tools (i3) to support strategic decision-making has become seamless. To that end, the institution seeks a strategic thinker who can lead the IR unit, leverage the partnership with i3, and continue to take the institution to new heights.

POSITION SUMMARY

The Executive Director of Institutional Research & Strategic Analytics serves as the University’s lead strategist for institutional data, analytics, and rankings performance. Reporting to the Vice Provost for Academic Operations, this role provides executive-level leadership for institutional research, official reporting, and enterprise analytics in support of the Provost and senior leadership.

The Executive Director ensures the University’s institutional reporting, analytics capabilities, and performance metrics advance strategic priorities, strengthen competitive positioning in national and global rankings, and inform high-level decision-making across academic and administrative units.

KEY RESPONSIBILITIES
  • Serve as principal advisor to the Provost’s Office and senior leadership on institutional performance, rankings strategy, benchmarking, and competitive positioning.
  • Lead institutional rankings strategy, including analysis of methodologies, scenario modeling, and identification of high-impact improvement levers.
  • Translate the University’s strategic priorities into measurable performance indicators and executive-ready insights.
  • Provide forward-looking analyses and predictive modeling to inform academic planning, student success initiatives, faculty hiring, research performance, and resource allocation decisions.
  • Prepare high-impact dashboards, executive briefings, and data narratives for senior leadership and the Board of Trustees.
  • Provide overall leadership and direction for the Institutional Research office, including prioritization of analytic work and development of staff capacity.
  • Oversee submission of all official institutional data to federal and state agencies, accreditors, and ranking organizations, ensuring accuracy, compliance, and consistency.
  • Maintain deep expertise in evolving reporting standards and national/global ranking methodologies and proactively assess institutional implications.
  • Partner with institutional stakeholders such as Information Technology Services, Budget Office, Global Affairs, Human Resources, Enrollment, Registrar, Institutional Insights & Innovation (i3), and others to align reporting processes, strengthen data governance practices, and improve analytic tools.
  • Promote data-informed decision-making and consistent data definitions across academic and administrative units.
MINIMUM QUALIFICATIONS
  • Bachelor’s degree in mathematics, statistics, data science/analytics, public policy, economics, or a related field.
  • Minimum of 8 years of progressively responsible experience in higher education, with a focus on directing institutional research, analytics, strategic planning, or a related field.
  • Minimum of 5 years of supervising a complex quantitative department.
  • Demonstrated experience overseeing complex modeling, institutional reporting and external data submissions.
  • Demonstrated quantitative/analytical expertise and the ability to translate complex data into clear, actionable insights for executive audiences.
PREFERRED QUALIFICATIONS
  • Master’s degree in a related field.
  • Experience leading rankings strategy at a research-intensive institution.
  • Experience developing enterprise dashboards and predictive analytics tools in partnership with IT or data teams.
APPOINTMENT TERMS

This is a full-time position located at the Storrs campus. The University offers a competitive salary, and outstanding benefits, including employee and dependent tuition waivers at UConn, and a highly desirable work environment. For additional information regarding benefits, please visit https://hr.uconn.edu/health-benefits/ and explore the sections under the Benefits & Leaves and Engagement & Learning headers.

TERMS AND CONDITIONS OF EMPLOYMENT

Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check.

EEO STATEMENTS

All members of the University of Connecticut are expected to exhibit appreciation of, and contribute to, an inclusive, respectful, and diverse environment for the University community. The University of Connecticut aspires to create a community built on collaboration and belonging and has actively sought to create an inclusive culture within the workforce. The success of the University is dependent on the willingness of our diverse employee and student populations to share their rich perspectives and backgrounds in a respectful manner. This makes it essential for each member of our community to feel secure and welcomed and to thoroughly understand and believe that their ideas are respected by all. We strongly respect each individual employee’s unique experiences and perspectives and encourage all members of the community to do the same. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

The University of Connecticut is an AA/EEO Employer.

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