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Data Associate Jobs in Connecticut (NOW HIRING)

Associate degree from an accredited college or university is preferred * Minimum 3 years of experience in a similar role, preferably in the medical device industry or related data entry experience.

Associate degree from an accredited college or university is preferred * Minimum 3 years of experience in a similar role, preferably in the medical device industry or related data entry experience.

... Associate degree in Computer Science, Engineering, Business or a related field • Two years of ... Data modelling (Star Schema) • Demonstrated analytical skills and critical thinking skills • ...

Data Engineer

Stamford, CT · On-site

$122K - $146K/yr

... associates. We also invest in the vitality of our local communities through grants from the ... Data Engineer Richmond, VA or Stamford, CT YOUR ROLE As an IT team member, you'll play a crucial ...

Associate degree in Computer Science, Engineering, Business or a related field * Two years of ... Knowledge of Data modelling (Star Schema) * Demonstrated analytical skills and critical thinking ...

Associate or bachelor's degree in computer science or related field (or equivalent experience). * Strong attention to detail and proficiency with data structures and SQL. * Experience with ETL/ELT ...

Associate or bachelor's degree in computer science or related field (or equivalent experience). * Strong attention to detail and proficiency with data structures and SQL. * Experience with ETL/ELT ...

Showing results 41-60

Data Associate information

See Connecticut salary details

$13

$31

$53

How much do data associate jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for data associate in Connecticut is $31.46, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $37.26 per hour, depending on experience, location, and employer.

What is the role of a data associate?

A data associate is responsible for collecting, organizing, and maintaining data within databases or systems. They often verify data accuracy, perform data entry, and support data analysis tasks using tools like Excel or database management software. Attention to detail and strong organizational skills are essential for this role.

Can I be a data analyst with no experience?

Data analyst roles typically require some knowledge of data analysis tools like Excel, SQL, or Python, and understanding of data visualization. While prior experience is often preferred, entry-level positions may be available for candidates with relevant skills, certifications, or coursework. Building a portfolio of projects can also improve chances of securing a data analyst position without formal experience.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What are the top 3 skills for a data analyst?

For a data analyst, key skills include proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software such as R or Python. Strong analytical thinking, attention to detail, and the ability to communicate insights effectively are also essential. Familiarity with data visualization tools like Tableau or Power BI enhances their ability to present findings clearly.

What are Data Associates?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

Is 40 too late for data science?

Age is not a barrier to becoming a data associate or transitioning into data science. Many professionals successfully switch careers or start new roles later in life by acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications. Employers value experience and skills over age, and continuous learning can help you stay competitive in the field.

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

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

How does a Data Associate typically collaborate with other teams within an organization?

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.
What are the most commonly searched types of Data jobs in Connecticut? The most popular types of Data jobs in Connecticut are:
What are popular job titles related to Data Associate jobs in Connecticut? For Data Associate jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Data Associate jobs in Connecticut look for? The top searched job categories for Data Associate jobs in Connecticut are:
What cities in Connecticut are hiring for Data Associate jobs? Cities in Connecticut with the most Data Associate job openings:
Infographic showing various Data Associate job openings in Connecticut as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $65,444 per year, or $31.5 per hour.

Data & Reporting Business Analyst

Sun Life Financial

Hartford, CT • Hybrid

$60K - $90K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Sun Life Assurance Company of Canada rating

8.6

Company rating: 8.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

89th of 301 rated insurance


Job description

Sun Life U.S. is one of the largest providers of employee and government benefits, helping approximately 50 million Americans access the care and coverage they need. Through employers, industry partners and government programs, Sun Life U.S. offers a portfolio of benefits and services, including dental, vision, disability, absence management, life, supplemental health, medical stop-loss insurance, and healthcare navigation. We have more than 6,400 employees and associates in our partner dental practices and operate nationwide.

Visit our website to discover how Sun Life is making life brighter for our customers, partners and communities.

Job Description:

Sun Life embraces a hybrid work model that balances in-office collaboration with the flexibility of virtual work. Our team members and leaders are expected to foster connection and teamwork by being present in the office at least 2 days per week.

The Opportunity:

The Data & Reporting Analyst is responsible for developing maintaining and optimizing reporting solutions that provide actionable insights to business leaders in the Stop Loss Claims team. This role supports data driven decision making across operations by identifying anomalies, automating manual processes, and enabling business leaders with evidence-based insights to optimize operations and reduce costs. The Analyst partners closely with Stop Loss business stakeholders to translate data into insights, automate reporting processes and improve overall efficiency through analytics and visualization tools.

How you will contribute:

  • Data Analysis & Insights

    • Develops and deploys SQL-based reporting and statistical models using Power Query, VBA, Excel and Python

    • Analyze large datasets to identify trends, anomalies, and opportunities for operational improvement

    • Support business decision-making through ad hoc analyses and structured reporting

    • Translate complex data into clear, actionable insights for leadership

  • Reporting & Dashboard Development

    • Partners with the COE Reporting team to enhance and improve Stop Loss Claims dashboard

    • Ensures data accuracy, dashboard uptime, and data freshness across all reporting systems

    • Completes timely reporting and analysis requests with rigorous data quality validation

    • Documents methodologies and maintains comprehensive records of reporting processes

  • Data Management & Quality

    • Validate, cleanse, and maintain data integrity across multiple sources

    • Support data governanace and ensure adherence to data standards and definitions

    • Partner with IT and data teams to resolve data issues and improve data pipelines

  • Process Improvement & Automation

    • Identify opportunities to automate manual reporting processes and streamline workflows

    • Implement data solutions that improve efficiency and reduce redundancy

    • Support continuous improvement initiatives through analytics and performance tracking

    • Performs root cause analysis to identify systemic inefficiencies and operational bottlenecks

  • Stakeholder Collaboration

    • Work closely with business leaders to define reporting needs and requirements

    • Provide ongoing support for reporting tools and troubleshoot user issues

    • Present findings and recommendations to leadership in a clear and concise manner

    • Engages with leadership, IT teams, and business teams to facilitate data interpretation, present evidence-based recommendations, and resolve technical and operational constraints

    • Escalates significant data and reporting inaccuracies, anomalies, and strategic requests requiring new data sources or system integration to management

What you will bring with you:

  • Bachelor's degree in a quantitative field (Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics, Actuarial Science, or Business Analytics) OR equivalent professional experience demonstrating competency in data analysis and analytics

  • 2-3 years of experience in data analysis, business intelligence, or analytics

  • Demonstrated proficiency with SQL including query optimization, complex joins, and performance tuning

  • Proficiency with at least one programming language (Python, R, or similar)

  • Experience building dashboards or reports using visualization tools (Tableau, Excel)

  • Familiarity with statistical analysis and forecasting concepts

  • Advanced Excel skills including complex formulas, pivot tables, and data manipulation

  • Expertise in data visualization and self-service dashboard development

  • Knowledge of statistical foundations including forecasting methodologies, regression, and time-series analysis

  • Preferred: Insurance and claims operations business acumen

  • Understanding of inventory management and demand planning principles

  • Ability to translate technical findings for non-technical stakeholders

  • Strong analytical thinking and problem-solving capabilities

  • Attention to detail and commitment to data accuracy

  • Effective communication and stakeholder collaboration skills

Salary:

Salary Range: $60,400 - $90,600
At our company, we are committed to pay transparency and equity. The salary range for this role is competitive nationwide, and we strive to ensure that compensation is fair and equitable. Your actual base salary will be determined based on your unique skills, qualifications, experience, education, and geographic location. In addition to your base salary, this position is eligible for a discretionary annual incentive award based on your individual performance as well as the overall performance of the business. We are dedicated to creating a work environment where everyone is rewarded for their contributions.

Not ready to apply yet but want to stay in touch? Join our talent community to stay connected until the time is right for you!

We are committed to fostering an inclusive environment where all employees feel they belong, are supported and empowered to thrive. We are dedicated to building teams with varied experiences, backgrounds, perspectives and ideas that benefit our colleagues, clients, and the communities where we operate. We encourage applications from qualified individuals from all backgrounds.

Life is brighter when you work at Sun Life

At Sun Life, we prioritize your well-being with comprehensive benefits, including generous vacation and sick time, market-leading paid family, parental and adoption leave, medical coverage, company paid life and AD&D insurance, disability programs and a partially paid sabbatical program. Plan for your future with our 401(k) employer match, stock purchase options and an employer-funded retirement account. Enjoy a flexible, inclusive and collaborative work environment that supports career growth. We're proud to be recognized in our communities as a top employer. Proudly Great Place to Work Certified in Canada and the U.S., we've also been recognized as a "Top 10" employer by the Boston Globe's "Top Places to Work" for two years in a row. Visit our website to learn more about our benefits and recognition within our communities.

We will make reasonable accommodations to the known physical or mental limitations of otherwise-qualified individuals with disabilities or special disabled veterans, unless the accommodation would impose an undue hardship on the operation of our business. Please email thebrightside@sunlife.comto request an accommodation.

For applicants residing in California, please read our employee California Privacy Policy and Notice.

We do not require or administer lie detector tests as a condition of employment or continued employment.

Sun Life will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including applicable fair chance ordinances.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Category:

Business Analysis - Process

Posting End Date:

30/07/2026

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