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Data Analysis Manager Jobs in Fairfield, CT (NOW HIRING)

Manager, Financial Analytics

Stamford, CT · On-site

$112K - $147K/yr

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 ...

Risk Management: Loss Tracing Data Analysis To support risk management and mitigation planning, the position will work on developing a loss tracing tool and performing deep-dive analyses of loss ...

Risk Management: Loss Tracing Data Analysis To support risk management and mitigation planning, the position will work on developing a loss tracing tool and performing deep-dive analyses of loss ...

Strong project management and communication skills * Demonstrated flexibility, adaptability, and ... Ability to perform ad-hoc analysis, bringing independent thought leadership and value-added ...

Manager, Financial Analytics

Stamford, CT

$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 ...

Data Strategy-Manager

Stamford, CT · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ...

Data Strategy-Manager

Melville, NY · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ...

Data Governance- Manager

Melville, NY · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ...

Data Governance- Manager

Stamford, CT · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ...

We are looking for a Manager who is a proven analytical problem solver, has strong technical ... Statistical analysis incl identify patterns and trends in the data, avoid bias and apply the right ...

Statistical analysis inclidentifypatterns and trends in the data, avoidbiasand apply the right ... Collaboration and Stakeholder management: Strong collaboration and influencing skills in a highly ...

Statistical analysis inclidentifypatterns and trends in the data, avoidbiasand apply the right ... Collaboration and Stakeholder management: Strong collaboration and influencing skills in a highly ...

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Showing results 1-20

Data Analysis Manager information

See Fairfield, CT salary details

$22.9K

$90.4K

$146.8K

How much do data analysis manager jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data analysis manager in Fairfield, CT is $90,404.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,300.00 and $110,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analysis Manager, you need advanced analytical skills, a strong background in statistics or data science, and relevant experience often backed by a degree in mathematics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and business intelligence platforms, along with proficiency in data visualization software like Tableau or Power BI, is typically required. Leadership, effective communication, and problem-solving abilities are crucial soft skills for managing teams and translating complex data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decision-making and ensuring the success of analytics initiatives within an organization.

How does a data analysis manager typically collaborate with other departments within an organization?

A Data Analysis Manager regularly partners with teams such as marketing, finance, operations, and IT to identify data needs and translate business questions into actionable analysis. They facilitate communication between data analysts and stakeholders, ensuring that data insights are aligned with organizational goals. By leading cross-functional meetings and presenting findings to non-technical audiences, they help drive data-informed decision-making across the company. This collaborative approach not only enhances the impact of analytics but also fosters a culture of data literacy throughout the organization.

What does a data analysis manager do?

A Data Analysis Manager oversees teams that collect, process, and interpret data to help organizations make informed business decisions. They are responsible for managing data projects, ensuring data quality, and translating complex data findings into actionable insights for stakeholders. Additionally, they often coordinate with other departments, set analytical strategies, and mentor data analysts. Their role is crucial for driving data-driven decision-making in a company.

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

AspectData Analysis ManagerData Analyst
ResponsibilitiesOversees data analysis projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to support business decisions
Required SkillsLeadership, project management, advanced analyticsStatistical analysis, data visualization, technical skills
QualificationsBachelor's or master's in data science, statistics, or related field; experience in managementBachelor's in data science, statistics, or related field; technical proficiency
Work EnvironmentTypically in corporate offices, leading teamsOften in office or remote, focused on individual analysis tasks

The main difference between a Data Analysis Manager and a Data Analyst lies in scope and responsibilities. The manager oversees teams and strategic projects, while the analyst focuses on executing data analysis tasks. Both roles require strong analytical skills and relevant qualifications, but the manager's role emphasizes leadership and project management.

What are the most commonly searched types of Data Analysis jobs in Fairfield, CT? The most popular types of Data Analysis jobs in Fairfield, CT are:
What are popular job titles related to Data Analysis Manager jobs in Fairfield, CT? For Data Analysis Manager jobs in Fairfield, CT, the most frequently searched job titles are:
What job categories do people searching Data Analysis Manager jobs in Fairfield, CT look for? The top searched job categories for Data Analysis Manager jobs in Fairfield, CT are:
What cities near Fairfield, CT are hiring for Data Analysis Manager jobs? Cities near Fairfield, CT with the most Data Analysis Manager job openings:
Infographic showing various Data Analysis Manager job openings in Fairfield, CT as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $90,404 per year, or $43.5 per hour.

Manager, Financial Analytics

Webster Bank

Stamford, CT • On-site

$112K - $147K/yr

Full-time

Posted 18 days ago


Webster Bank rating

7.1

Company rating: 7.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

124th of 170 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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