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Analytics Manager Jobs in Bridgeport, CT (NOW HIRING)

Webster Bank

Manager, Financial Analytics

Stamford, CT · On-site

$112K - $147K/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, coordination ...

Deloitte

M&A Data Analytics Manager

Stamford, CT

As a Manager, Strategy, Growth, and Transformation on the M&A team, you will be a key member serving client M&A deal teams through gathering, analyzing, validating, and normalizing transactional ...

Webster Bank

Director Financial Analytics

Stamford, CT · On-site

The Senior Financial Analytics Manager is responsible for leading the development, maintenance, enhancement, and governance of credit risk and forecasting models that support the Bank's reserve ...

Webster Bank

Director Financial Analytics

Stamford, CT · On-site

$165 - $180/hr

The Senior Financial Analytics Manager is responsible for leading the development, maintenance, enhancement, and governance of credit risk and forecasting models that support the Bank's reserve ...

CFS

FP&A Manager

Shelton, CT · On-site

$140K - $160K/yr

FP&A Manager Shelton, CT | Onsite $140,000-$160,000 Preferred (Flexibility for the Right Candidate) + 15% Bonus Why This FP&A Manager Opportunity? We're partnering with a rapidly growing healthcare ...

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Showing results 21-40

All JobsAnalytics JobsAnalytics Manager JobsAnalytics Manager Jobs in Bridgeport, CT

Analytics Manager information

See Bridgeport, CT salary details

$65.6K

$127.4K

$182K

How much do analytics manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for analytics manager in Bridgeport, CT is $127,428.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,700.00 and $151,500.00 per year, depending on experience, location, and employer.

What is an analytics manager?

An analytics manager translates raw data into insights that a business can use. Usually leading a team of analysts, your job duties include developing data analysis strategies, tracking and reporting on performance, implementing tools and solutions, and overseeing all analytics operations. You must stay up-to-date on current industry trends. Strong communication and analytical skills are required. Other qualifications include a bachelor’s degree in statistics, data management, or information technology and proven career experience in market research, statistical modelings, or project management.

How does an analytics manager typically collaborate with cross-functional teams to drive business insights?

Analytics Managers frequently work alongside teams such as marketing, product development, finance, and operations to translate data into actionable business strategies. They facilitate meetings to understand stakeholder goals, guide data collection efforts, and present findings in a way that's accessible to non-technical audiences. This cross-functional collaboration ensures that insights are aligned with business objectives and that projects are implemented effectively. Strong communication and project management skills are essential for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as an analytics manager, and why are they important?

To thrive as an Analytics Manager, you need strong analytical skills, data interpretation expertise, leadership experience, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with analytics platforms (such as Tableau, Power BI), programming languages (like SQL, Python, or R), and data management systems is essential, along with relevant certifications such as Google Analytics or Certified Analytics Professional (CAP). Excellent communication, problem-solving, and stakeholder management skills help you translate complex data insights into actionable business strategies. These competencies ensure data-driven decision-making, effective team leadership, and impactful business outcomes.

What is the difference between Analytics Manager vs Data Analyst?

AspectAnalytics ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, Analytics, or related fields; often certifications in analytics toolsBachelor's degree in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data cleaning, analysis, and reporting; works under supervision
Employer & Industry UsageUsed in corporate, finance, marketing, and tech sectors for strategic decision-makingCommon in research, finance, healthcare, and marketing for data insights

While both roles involve working with data, the Analytics Manager oversees teams and strategic projects, whereas Data Analysts focus on data collection, analysis, and reporting. The Analytics Manager typically has more leadership responsibilities and a broader scope.

More about Analytics Manager jobs

What are the most commonly searched types of Analytics jobs in Bridgeport, CT?

The most popular types of Analytics jobs in Bridgeport, CT are:

What are popular job titles related to Analytics Manager jobs in Bridgeport, CT?

For Analytics Manager jobs in Bridgeport, CT, the most frequently searched job titles are:

What job categories do people searching Analytics Manager jobs in Bridgeport, CT look for?

The top searched job categories for Analytics Manager jobs in Bridgeport, CT are:

What cities near Bridgeport, CT are hiring for Analytics Manager jobs?

Cities near Bridgeport, CT with the most Analytics Manager job openings:

Analytics Manager jobs near you
Infographic showing various Analytics Manager job openings in Bridgeport, CT as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,428 per year, or $61.3 per hour.

Manager, Financial Analytics

Webster Bank

Stamford, CT • On-site

$112K - $147K/yr

Full-time

Re-posted 5 hours ago

Webster Bank rating

7.1

Company rating: 7.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

123rd of 171 rated banks

Job description

If you're looking for a meaningful career, you'll find it here at Webster. Founded in 1935, our focus has always been to put people first--doing whatever we can to help individuals, families, businesses and our colleagues achieve their financial goals. As a leading commercial bank, we remain passionate about serving our clients and supporting our communities. Integrity, Collaboration, Accountability, Agility, Respect, Excellence are Webster's values, these set us apart as a bank and as an employer.
Come join our team where you can expand your career potential, benefit from our robust development opportunities, and enjoy meaningful work!
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, coordination with data, credit, business line, and operations teams on any issues, and presenting the results to the CECL Committee and external auditors at least quarterly.
The role plays a key role in bridging business objectives with data-driven insights at Webster. This position is responsible for understanding and translating complex business requirements into analytical solutions, leveraging Webster's data systems and tools, designing coding and maintaining data workflows. The role involves overseeing the integration and processing of both structured and unstructured data sources to enhance data usability. The individual needs to collaborate with IT, Data Team, and LoB partners in developing data workflows, data analysis and reporting. The Manager Financial Analytics role designs and supports statistical and predictive models that inform strategic decision-making. This role is right for you if you're a "hands-on" coder and analyst, take ownership and sound business understanding.
Primary Responsibilities
  • Develop expert knowledge and experience with Webster's data systems and tools.

  • Develop strong relationships with Webster lines of business, Finance, Credit, Data, Risk & IT partners to ensure consistency and appropriateness of the team's various processes and impact on FA models. This includes changes to external systems, changes in database content and structure, and changes in applied methodology.

  • Execute and support Dual Risk Rating model building, monitoring and model refresh.

  • Analyze and organize large structured and unstructured data to derive actionable insights and support decision-making processes.

  • Assist FA team and collaborate internally. Document and communicate changes to data structure, content and logic that has impact on models. Assist in the coding and testing of changes to existing models.

  • Collaborate with cross-functional teams to understand data requirements, business objectives and implement effective solutions.

  • Work with external data sources, APIs.

Required Skills & Experience
  • 3+ years of industry experience in Data Analytics, Data Science, Data Engineering, Software Development or related field.

  • Experience working with complex data structures within a RDMS (Oracle, SQL).

  • Proficient in Python/SAS Programming Language.

  • Knowledge of advanced statistical techniques and concepts and experience with applications.

  • Experience in building, validating and deploying statistical or predictive models.

  • Strong business knowledge and familiarity with financial data systems and architecture.

  • Ability to interpret and translate business needs into analytical frameworks.

  • Strong analytical and problem-solving skills and ability to work in a collaborative team environment.

  • Excellent communication skills to convey complex technical concepts to non-technical stakeholders.

  • Ingenuity, analytical thinking, resourceful, persistent, pragmatic, motivated and socially intelligent.

  • Technically oriented, proactive, and enthusiastic, with good attention to details.

  • Proven ability to manage multiple priorities, meet deadlines, and adapt to changing business needs in a fast-paced environment.

Preferred Skills & Experience
  • 5+ years of industry experience in Data Analytics, Data Science, Data Engineering, Software Development or related field.

  • Experience working with unstructured data using advanced OCR and NLP techniques.

  • Experience with one or more cloud-based computing platforms: AWS, Azure, GCP.

  • Experience in designing efficient and robust data workflows (e.g.- Apache Airflow).

  • Experience in integrating automated unit test cases and code scanning tools with CI/CD pipeline (E.g. - GitLab).

  • Experience in developing constructive relationships with a wide range of different stakeholders.

  • Ability to independently gather data from various sources and conduct research.

  • Ability to think "out of the box" and provide suggestions on ways to improve the process.

Education
  • Bachelors, Masters' in statistics, data science, computer science or other STEM fields (e.g., physics, math, engineering, etc.) Finance or Business MS/MBA with strong quantitative and programming background also acceptable.

The estimated salary range for this position is $110,000USD to $130,000USD. Actual salary may vary up or down depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position is eligible for incentive compensation.
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Webster Financial Corporation and its subsidiaries ("Webster") are equal opportunity employers that are committed to sustaining an inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, marital status, national origin, ancestry, citizenship, sex, sexual orientation, gender identity and/or expression, physical or mental disability, protected veteran status, or any other characteristic protected by law.

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