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Data Associate Jobs in Connecticut (NOW HIRING)

Gartner, Inc.

$93 - $140/hr

A successful candidate is a natural problem solver and can effectively leverage data to identify ... That's why we hire associates with the intellectual curiosity, energy and drive to want to make a ...

Gartner, Inc.

Director, Data Science

Stamford, CT · On-site

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... That's why we hire associates with the intellectual curiosity, energy and drive to want to make a ...

Gartner

Director, Data Science

Stamford, CT · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... That's why we hire associates with the intellectual curiosity, energy and drive to want to make a ...

Pwc

Data Engineer - Manager

Stamford, CT · On-site

... Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business ...

Pwc

Data Engineer - Manager

Hartford, CT · On-site

... Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business ...

Pwc

Data Engineer - Senior Manager

Hartford, CT · On-site

$124K - $280K/yr

... Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data ...

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Showing results 21-40

All JobsData Associate JobsData Associate Jobs in Connecticut

Data Associate information

See Connecticut salary details

$13

$31

$53

How much do data associate jobs pay per hour?

As of Aug 21, 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 a data associate?

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.

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

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 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 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:

Data Associate jobs near you
Infographic showing various Data Associate job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 11% Part Time, 2% Temporary, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $65,444 per year, or $31.5 per hour.

Associate Director Clinical Data Standards & Governance

Penfield Search Partners

Fairfield, CT

Full-time

Posted 6 days ago

Job description

Contact: Neisha Camacho/Terra Parsons -
No 3rd party candidates

Position Summary

The Associate Director, Clinical Data Standards & Governance is a hands-on SME responsible for the design, implementation, and lifecycle governance of clinical data standards from protocol/data collection through acquisition, tabulation, analysis, and regulatory submission.

This individual owns and develops the enterprise standards library, including CDASH/eCRF, SDTM, ADaM, Define-XML/SDRG/ADRG, controlled terminology, metadata, and validation infrastructure. This is an individual-contributor leadership role requiring direct standards work, technical leadership, cross-functional influence, and active engagement with the CDISC community.

Key Responsibilities

Standards & Governance

  • Own standards across Collection (CDASH/eCRF), Acquisition (labs, ECG, imaging, eCOA, biomarkers/external data), Tabulation (SDTM, mappings, terminology, Define-XML/cSDRG), and Analysis (ADaM, metadata, ADRG/TLF interfaces).
  • Maintain expertise in CDISC guidance/implementation guides and FDA electronic submission requirements.
  • Author reusable SDTM/ADaM conventions, terminology mappings, and CDASH/eCRF specifications.
  • Review eCRF designs and SDTM mappings for standards conformance and correct design/mapping issues.
  • Lead impact assessments and releases resulting from CDISC, regulatory, or business changes.
  • Maintain Define-XML, SDRG, and ADRG templates and conventions.
  • Lead/participate in technical standards working groups and manage change-control/exception workflows.
  • Maintain governance charters, SOPs, work instructions, RACI, and decision rights.
  • Monitor CDISC, FDA, and ICH requirements and translate changes into standards updates.
  • Support audits/inspections and ensure traceability from source through submission.

Technology, Metadata & Automation

  • Own/improve the metadata repository, including release/version control, lineage/traceability, terminology, and automated validation.
  • Apply SDTM/ADaM validation rules and Define.xml requirements; execute validation tools, interpret findings, and coordinate resolution/documentation.
  • Partner with IT/Data Engineering and Biometrics on interoperability across EDC, external data, and downstream analysis platforms.
  • Drive automated validation/compliance tools and AI-enabled opportunities including mapping, specification generation, and QC.
  • Track standards adoption, quality, speed, and submission-readiness metrics.

Adoption & Leadership

  • Develop training, implementation playbooks, and standards guidance for study teams and CROs.
  • Mentor Data Standards colleagues and train analysts on standards processes/systems.
  • Define CRO/vendor standards requirements and review transfer/mapping specifications.
  • Serve as standards SME across CDM, Biostatistics, Statistical Programming, Clinical Operations, Regulatory, Quality, IT, and CRO partners.
  • Drive continuous improvement based on study/pilot lessons learned.
  • Represent the organization in the CDISC community, coordinate comments on standards under public review, and submit at least one annual CDISC Interchange abstract.

Success Measures

Performance is measured through standards KPIs covering adoption, quality, speed, and readiness, including deviations, reuse, cycle times, first-pass QC, traceability, inspection readiness, and exception turnaround.

Qualifications

  • Bachelor's or Master's degree in Life Sciences, Computer Science, Health Informatics, or related field.
  • 10+ years of clinical data management/standards experience, including enterprise-level standards ownership.
  • Deep hands-on expertise in CDASH, SDTM, ADaM, controlled terminology, and Define-XML/SDRG/ADRG.
  • Knowledge of EDC/Rave, RTSM, eCOA, and external/vendor data transfers.
  • Experience with metadata repositories/standards libraries, version c