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Data Analytics Manager Jobs in Connecticut (NOW HIRING)

Neshent Technologies

CT · On-site

$126K - $166K/yr

Proven experience managing Cloud Analytics, Data Analytics, or Data Platform products. * Strong understanding of data analytics, data science, and data integration concepts. * Experience defining ...

Neshent Technologies

$129K - $171K/yr

Proven experience managing Cloud Analytics, Data Analytics, or Data Platform products. * Strong understanding of data analytics, data science, and data integration concepts. * Experience defining ...

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All JobsData Analytics JobsData Analytics Manager JobsData Analytics Manager Jobs in Connecticut

Data Analytics Manager information

See Connecticut salary details

$29.5K

$92.4K

$163.6K

How much do data analytics manager jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data analytics manager in Connecticut is $92,412.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $119,400.00 per year, depending on experience, location, and employer.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What are the key skills and qualifications needed to thrive as a data analytics manager?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Connecticut?

The most popular types of Data Analytics jobs in Connecticut are:

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

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

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

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

What cities in Connecticut are hiring for Data Analytics Manager jobs?

Cities in Connecticut with the most Data Analytics Manager job openings:

Data Analytics Manager jobs near you
Infographic showing various Data Analytics Manager job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $92,412 per year, or $44.4 per hour.

Senior Product Manager - Data Analytics & Cloud Platform

Neshent Technologies

East Windsor Hill, CT • On-site

$124K - $164K/yr

Full-time

Posted 18 days ago

Job description

Roles & Responsibilities
  • Own the vision, strategy, roadmap, and lifecycle of enterprise data products.
  • Serve as the Product Owner and subject matter expert for Cloud Analytics initiatives.
  • Partner with business stakeholders, engineering teams, and leadership to define product requirements and priorities.
  • Manage and prioritize the product backlog, ensuring alignment with business objectives.
  • Create and refine user stories, acceptance criteria, and sprint priorities for Agile delivery teams.
  • Drive the design, implementation, enhancement, and sustainment of data products.
  • Collaborate with Scrum teams to deliver high-quality analytics and data integration solutions.
  • Act as the voice of customers and business stakeholders, ensuring product decisions deliver maximum value.
  • Monitor product performance, identify improvement opportunities, and drive continuous innovation.
  • Facilitate Agile ceremonies and ensure successful execution of Scrum and SAFe practices.
  • Communicate product roadmap, progress, risks, and outcomes to leadership and key stakeholders.
  • Support continuous improvement initiatives and promote best practices in Agile product management.
Required Technical/Functional Skills
  • 10+ years of experience in Product Management, Product Ownership, or Business Analysis within enterprise IT environments.
  • Proven experience managing Cloud Analytics, Data Analytics, or Data Platform products.
  • Strong understanding of data analytics, data science, and data integration concepts.
  • Experience defining product vision, strategy, roadmap, and execution for enterprise data products.
  • Hands-on experience with Agile methodologies, including Scrum and SAFe.
  • Strong experience managing product backlogs, user stories, acceptance criteria, and release planning.
  • Proficiency with Jira, Confluence, Microsoft Visio, Whiteboard, and PowerPoint.
  • Excellent stakeholder management, communication, analytical, and problem-solving skills.
Preferred Skills
  • Experience working in Claims, Insurance, Consumer, or Leave Management domains.
  • Knowledge of Cloud Analytics platforms, Data Warehousing, and Data Integration solutions.
  • Experience collaborating with cross-functional engineering, analytics, and business teams.
  • Ability to translate business needs into scalable data product solutions.

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