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Data Analytics Manager Jobs in Brookfield, CT (NOW HIRING)

Pitney Bowes

RevOps Analytics Manager

Shelton, CT · On-site

$100K - $120K/yr

Focus on outcomes that drive impact and growth You Are A data-driven, analytically minded ... analysis, and championing data-driven decision-making. * Strong project management and ...

pitneybowes

RevOps Analytics Manager

Shelton, CT · On-site +1

$100K - $120K/yr

Ensure data accuracy and consistency across systems, sources, and reports. * Build, optimize, and ... analysis, and championing datadriven decisionmaking. * Strong project management and prioritization ...

Webster Bank

Manager, Financial Analytics

Waterbury, CT

$107K - $141K/yr

The Financial Analytics Manager is responsible for the quarterly execution of the vendor models ... This includes the preparation of CECL loan data across each of the relevant portfolios ...

CooperCompanies

Senior Data Analyst

Trumbull, CT · On-site

$84K - $106K/yr

... data analytics to make strategic recommendations that will lead to both internal and external efficiency * Expert-level SQL skills to extract, manipulate, and query complex datasets and managing ...

Cooper Companies

Senior Data Analyst

Trumbull, CT

$84K - $106K/yr

... data analytics to make strategic recommendations that will lead to both internal and external efficiency * Expert-level SQL skills to extract, manipulate, and query complex datasets and managing ...

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All JobsData Analytics JobsData Analytics Manager JobsData Analytics Manager Jobs in Brookfield, CT

Data Analytics Manager information

See Brookfield, CT salary details

$31.4K

$98.5K

$174.4K

How much do data analytics manager jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data analytics manager in Brookfield, CT is $98,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,900.00 and $127,300.00 per year, depending on experience, location, and employer.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment certain responsibilities, it is unlikely to fully replace data analysts in the near future, and skills in data storytelling and critical thinking remain essential.

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 does a data analyst manager do?

A data analyst manager oversees a team of data analysts, guiding data collection, analysis, and reporting to support business decision-making. They develop strategies, ensure data accuracy, and often use tools like SQL, Excel, or data visualization software to interpret complex data sets. Strong leadership, communication skills, and knowledge of analytics tools are essential for this role.

How much do data analytics managers make?

Data analytics managers in the US typically earn a median salary of around $100,000 to $130,000 annually, with experienced professionals and those in high-demand industries earning higher. Salaries can vary based on location, education, certifications, and company size, and many roles require proficiency in tools like SQL, Python, or Tableau.

What are the key skills and qualifications needed to thrive as a Data Analytics Manager, and why are they important?

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.

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 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.

Is a data analyst a high salary?

Data analysts typically earn moderate to high salaries depending on experience, industry, and location. While entry-level positions may have lower pay, experienced data analysts with skills in SQL, Excel, and data visualization tools can command higher salaries, especially in competitive markets.
What job categories do people searching Data Analytics Manager jobs in Brookfield, CT look for? The top searched job categories for Data Analytics Manager jobs in Brookfield, CT are:
What cities near Brookfield, CT are hiring for Data Analytics Manager jobs? Cities near Brookfield, CT with the most Data Analytics Manager job openings:
Data Analytics Manager jobs near you
Infographic showing various Data Analytics Manager job openings in Brookfield, CT as of June 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $98,528 per year, or $47.4 per hour.
RevOps Analytics Manager

RevOps Analytics Manager

Pitney Bowes

Shelton, CT • On-site

$100K - $120K/yr

Full-time

Posted 14 days ago

Pitney Bowes rating

8.1

Company rating: 8.1 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

149th of 486 rated machine equipment manufacturers

Job description

We're hiring at Pitney Bowes, where top talent builds meaningful careers and lasting impact. We Move fast, Deliver excellence, and Win together...that's The Pitney Bowes way. Here, how we work matters just as much as what we achieve.
We're looking for people who:
  • Act with urgency, accountability, and purpose
  • Deliver high quality work with consistency and pride
  • Collaborate effectively and elevate those around them
  • Focus on outcomes that drive impact and growth

Job Description:
We're hiring at Pitney Bowes, where top talent builds meaningful careers and lasting impact. We Move fast, Deliver excellence, and Win together...that's The Pitney Bowes way. Here, how we work matters just as much as what we achieve.
We're looking for people who:
  • Act with urgency, accountability, and purpose
  • Deliver high quality work with consistency and pride
  • Collaborate effectively and elevate those around them
  • Focus on outcomes that drive impact and growth

You Are
A data-driven, analytically minded professional who thrives in a cross-functional environment. You enjoy transforming complex datasets into clear insights, partnering with Sales, Marketing, Product, and Operations, and influencing business decisions through data storytelling. You're comfortable owning models, pipelines, and dashboards end-to-end, and you bring a strong sense of curiosity, accuracy, and business acumen.
You Will
  • Partner with Sales Operations, Sales, Marketing, Product, IT, and external partners to understand business goals, challenges, and growth opportunities.
  • Own the Sales Coverage Model, ensuring alignment with GTM strategy, client hierarchy management, and prioritization modeling.
  • Lead renewals campaign data and forecasting for the Inside Sales team.
  • Develop and maintain SQL queries (Snowflake and SQL Server), stored procedures, and data pipelines (SSIS) to support reporting and analytics.
  • Ensure data accuracy and consistency across systems, sources, and reports.
  • Build, optimize, and manage dashboards, KPIs, and reporting assets using multiple data sources to deliver actionable insights.
  • Conduct deep-dive analyses to identify trends, patterns, and opportunities to improve performance, efficiency, and productivity.
  • Establish a regular cadence of insights delivery to stakeholders and executive leadership.
  • Create and maintain SOPs and documentation for data models, reporting processes, and analytical workflows.

You Bring
  • Bachelor's degree in technology or a quantitative field (Analytics, Statistics, Economics, Data Science, Applied Math) or equivalent experience.
  • 4-5 years of experience in data analysis and reporting.
  • At least four years of advanced SQL experience for data extraction, transformation, and modeling.
  • Advanced experience using Snowflake for analytics.
  • Strong foundational knowledge of Salesforce, SAP, and Oracle OLFM.
  • Minimum two years of experience with Microsoft Power BI.
  • A passion for visualization, analysis, and championing data-driven decision-making.
  • Strong project management and prioritization skills, with the ability to manage multiple deadlines.
  • Experience collaborating with delivery teams across time zones.
  • Excellent written and verbal communication skills, with the ability to influence senior leadership and secure executive buy-in.

Preferred
  • Experience with Python.
  • Experience with Snowflake Intelligence / Agentic AI.
  • Experience with marketing campaign planning, execution, reporting, and optimization, including familiarity with key marketing terminology.

Compensation:
The base range for this position is $100,000 - $120,000 per year, with the actual pay dependent on your skills and experience as they relate to the job requirements and the location where you will be performing the job.
Location:
This is a U.S.-based role and we cannot consider global applications at this time. Can be either fully remote (anywhere in U.S.) or hybrid model, depending on proximity to Shelton, CT.
Sponsorship:
Must be legally authorized to work in the US. Employer will not sponsor position for employment visa status now or in the future (ex. H-1B).
We will:
• Provide the opportunity to grow and develop your career
• Offer an inclusive environment that encourages diverse perspectives and ideas
• Deliver challenging and unique opportunities to contribute to the success of a transforming organization
• Offer comprehensive benefits globally(PB Benefits and Wellbeing Programs)
Pitney Bowes is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard for race, color, sex, religion, national origin, age, disability (mental or physical), veteran status, sexual orientation, gender identity, or any other consideration made unlawful by applicable federal, state, or local laws.
All qualified applicants, including Veterans and Individuals with Disabilities, are encouraged to apply.
All interested individuals must apply online. Individuals with disabilities who cannot apply via our online application should refer to the alternate application options via our Individuals with Disabilities link.

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