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Functional Data Analyst Jobs in Windsor Locks, CT

Required Technical/Functional Skills * 10+ years of experience in actuarial analysis, actuarial reporting, or related data analytics roles. * Experience analyzing and documenting existing actuarial ...

Required Technical/Functional Skills * 10+ years of experience in actuarial analysis, actuarial reporting, or related data analytics roles. * Experience analyzing and documenting existing actuarial ...

Experience Required for This Role Data Research & Analysis - at least 3 years of measurable ... functional teams and state-wide partners โ€ข Clearing challenges for team members โ€ข Comfort in ...

... Data analysis skills, Jira, Microsoft Excel, Proven experience in eliciting requirements and ... functional and technical specifications Document business processes and provide best practices ...

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Functional Data Analyst information

See Windsor Locks, CT salary details

$33.1K

$80.4K

$132.3K

How much do functional data analyst jobs pay per year?

As of Aug 12, 2026, the average yearly pay for functional data analyst in Windsor Locks, CT is $80,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a functional data analyst?

To thrive as a Functional Data Analyst, you need strong analytical abilities, a solid understanding of data modeling, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with data analytics tools (such as SQL, Excel, Tableau, or Python) and experience with business intelligence systems are typically required. Effective communication, problem-solving, and the ability to translate technical findings into actionable business insights are standout soft skills. These competencies enable analysts to extract meaningful information from data, support decision-making, and drive organizational success.

How does a functional data analyst typically collaborate with business stakeholders to ensure data-driven decision making?

A Functional Data Analyst often works closely with business stakeholders to understand their objectives, translate requirements into analytical tasks, and present actionable insights. This involves frequent meetings to clarify goals, iterative feedback on reports or dashboards, and explaining complex data findings in accessible terms. Effective analysts build strong relationships with stakeholders, ensuring that the analyses they deliver are both relevant and impactful for strategic decision making. This collaborative approach not only enhances the value of data-driven insights but also helps align analytics initiatives with organizational priorities.

What is a functional data analyst?

A Functional Data Analyst is a professional who specializes in analyzing and interpreting data related to the functionality and performance of business processes or systems. They use statistical methods and data modeling to identify trends, patterns, and insights that help organizations improve efficiency and decision-making. Unlike traditional data analysts, functional data analysts focus specifically on data that reflects the operational aspects of a business, often working closely with stakeholders to translate business needs into actionable data solutions.
What cities near Windsor Locks, CT are hiring for Functional Data Analyst jobs? Cities near Windsor Locks, CT with the most Functional Data Analyst job openings:
Infographic showing various Functional Data Analyst job openings in Windsor Locks, CT as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $80,383 per year, or $38.6 per hour.

Senior Actuarial Analyst

PB consulting

Unionville, CT โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

We are seeking an experienced Senior Actuarial Analyst to support the analysis, modernization, and migration of actuarial reporting solutions into a Segment Data Warehouse environment. The ideal candidate will have strong experience with actuarial reporting processes, data analysis, and requirements gathering, with the ability to translate complex actuarial calculations into technical solutions.

The candidate will collaborate with actuarial business teams, data developers, and technical teams to analyze existing Excel and SQL-based actuarial reports, validate calculations, define requirements, and support the successful implementation of new reporting solutions.

Required Technical/Functional Skills
  • 10+ years of experience in actuarial analysis, actuarial reporting, or related data analytics roles.
  • Experience analyzing and documenting existing actuarial reports, measures, and calculations.
  • Strong understanding of actuarial data, reporting processes, and business calculations.
  • Ability to analyze underlying data and provide clarification on key calculations and data relationships.
  • Experience translating business requirements into technical requirements for development teams.
  • Experience creating requirements documentation, user stories, and acceptance criteria.
  • Experience working with Excel-based reporting solutions and SQL-driven data analysis.
  • Ability to collaborate with developers to replace legacy reports within enterprise data warehouse environments.
  • Experience performing QA testing and validating new reports and measures against defined requirements.
  • Prior experience with actuarial reserving and reporting processes, preferably within the reinsurance industry.
Preferred Skills
  • Strong SQL skills for data analysis and validation.
  • VBA experience for Excel-based reporting automation.
  • Experience working with actuarial reserving processes and insurance/reinsurance data.
  • Experience with data warehouse reporting environments.
Roles and Responsibilities
  • Analyze existing Excel and SQL-based actuarial reports and measures and provide guidance to developers for migration into the Segment Data Warehouse.
  • Review and clarify actuarial calculations, business rules, and reporting logic.
  • Analyze source data to ensure accuracy and alignment with actuarial requirements.
  • Develop functional requirements documentation and acceptance criteria as needed.
  • Perform QA testing to validate that newly developed reports, calculations, and measures meet business expectations.
  • Partner with actuarial stakeholders and technical teams to resolve data and reporting challenges.
  • Support modernization initiatives by helping transition legacy reporting processes into scalable data warehouse solutions.
Required Experience
  • Minimum 10 years of experience in actuarial analysis, reporting, data analytics, or related roles.
  • Experience in insurance/reinsurance actuarial reporting preferred.
  • Strong analytical, documentation, and communication skills.