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Remote Data Management Jobs in Connecticut (NOW HIRING)

Aequor

$115K - $138K/yr

100% Remote Please source at open market rate This is a job template for special exceptions. ABOUT ... Understanding of data governance, master data management, metadata, data stewardship, data lineage ...

VOLT

Remote Recruiter

Stafford Springs, CT · On-site +1

$60K - $65K/yr

Manage candidate check-ins, tours, start dates, orientations, and first day success processes ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

Accounting Fly

Remote Tax Manager

Stafford, CT · Remote

$150K - $170K/yr

Job Title: Remote Tax Manager Job ID: 1050602 Date Posted: July 28, 2026 Employment Type ... than just transactional data entry. * Firm Scaling: Help strengthen and scale our advisory ...

Gartner

Data Analyst

Stamford, CT · On-site +1

We are looking for a Data Analyst who has a passion for analytical problem solving to be part of ... Gartner offers a hybrid, flexible environment, with remote work that allows associates great ...

The Hartford

Director of Data Science

Hartford, CT · On-site +1

$153K - $229K/yr

You will manage a high-performing team of data scientists and actuaries, collaborating with cross ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

IQVIA

Data Analytics Analyst II

Hartford, CT · Remote

$56K - $140K/yr

Contributing to internal brainstorming sessions and collaborating with account management team ... A willingness or ability to travel as needed ( This is a remote / WFH role open to candidates ...

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Remote Data Management information

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$11

$41

$82

How much do remote data management jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for remote data management in Connecticut is $41.16, according to ZipRecruiter salary data. Most workers in this role earn between $20.99 and $57.90 per hour, depending on experience, location, and employer.

What are some common challenges faced in remote data management, and how can they be addressed?

One common challenge in remote data management is ensuring data security and integrity while working outside a traditional office environment. Remote team members must follow strict protocols for data access and regularly update security measures to protect sensitive information. Additionally, effective communication and collaboration with cross-functional teams can be more difficult remotely, so utilizing project management and communication tools is vital. Establishing clear workflows and regular check-ins helps maintain data consistency and team alignment.

What is remote data management?

Remote Data Management refers to the practice of organizing, storing, securing, and analyzing data from a location outside of an organization's physical premises. Professionals in this field use cloud-based tools and remote access software to manage databases, ensure data integrity, and facilitate data sharing among distributed teams. This approach enables businesses to maintain their data infrastructure efficiently while supporting remote work and global collaboration. It also involves implementing protocols to ensure data security and compliance with relevant regulations.

What is the difference between Remote Data Management vs Data Analyst?

AspectRemote Data ManagementData Analyst
CredentialsTypically requires a degree in IT, Computer Science, or related fields; certifications like Microsoft Certified Data Analyst or AWS Data AnalyticsRequires a degree in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst Associate or Tableau Desktop Specialist
Work EnvironmentPrimarily remote, working with databases, data warehouses, and cloud platformsRemote or on-site, analyzing data sets, creating reports, and visualizations
Industry UsageUsed across IT, finance, healthcare, and e-commerce sectorsCommon in finance, marketing, healthcare, and consulting industries

Remote Data Management and Data Analysts share overlapping skills in data handling and analytics, but differ mainly in focus. Remote Data Management emphasizes database administration and cloud platforms, while Data Analysts focus on interpreting data and creating insights. Both roles are vital in data-driven organizations and often collaborate to optimize data use.

What are the key skills and qualifications needed to thrive in remote data management?

To thrive in Remote Data Management, you need strong analytical skills, attention to detail, and a solid understanding of database concepts, often supported by a degree in information systems or a related field. Proficiency with data management tools such as SQL, Microsoft Excel, and cloud-based platforms like AWS or Google Cloud, as well as knowledge of data privacy regulations, is typically required. Excellent communication, self-motivation, and time management are important soft skills for collaborating with distributed teams and managing tasks independently. These skills ensure accurate, secure, and efficient handling of data assets while maintaining productivity and compliance in a remote work environment.

What are remote jobs in data management?

Various types of remote data management jobs are available in healthcare and insurance, with titles like clinical data manager, analyst, and auditor. In these jobs, you manage a database and provide analysis of information related to clinical trials, medical payments, operational activities, and more. Your duties and responsibilities include generating reports, database administration, and providing support for coworkers throughout your organization, but your responsibilities can vary based on what kinds of data you store. Additionally, you work with your company’s leadership to address issues affecting the availability and use of data and proactively suggest strategies for improving efficiency and accuracy. In some roles, you also participate in project planning, resource allocation, and budgeting.

More about Remote Data Management jobs
What are the most commonly searched types of Data Management jobs in Connecticut? The most popular types of Data Management jobs in Connecticut are:
What are popular job titles related to Remote Data Management jobs in Connecticut? For Remote Data Management jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Data Management jobs in Connecticut look for? The top searched job categories for Remote Data Management jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Data Management jobs? Cities in Connecticut with the most Remote Data Management job openings:
Remote Data Management jobs near you
Infographic showing various Remote Data Management job openings in Connecticut as of August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 100% Remote job distribution, with an average salary of $85,619 per year, or $41.2 per hour.

Technical Clinical Data Manager /Data Analyst (Remote)

Penfield Search Partners

Fairfield, CT • Remote

Full-time

Posted 11 days ago

Job description

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

We are partnering with a growing biotech organization seeking a Clinical Data Manager/Data Analyst to support ongoing and upcoming clinical programs across multiple therapeutic areas.

This role will sit within a highly collaborative clinical development team and is ideal for a hands-on, analytical Clinical Data Manager who enjoys digging into the data, identifying trends or issues proactively, and developing creative solutions to improve data quality and study execution. The client is seeking someone resourceful and technically curious — not just process-oriented — with the ability to independently explore datasets, generate meaningful reports, and surface potential issues early.

The ideal candidate will bring a blend of traditional clinical data management expertise along with strong data review, querying, and analytical skills. Experience with R, SQL, SAS, or other data interrogation and reporting tools is highly desirable.

Key Responsibilities

  • Support clinical data management activities across studies from start-up through database lock
  • Perform hands-on data review and exploratory analysis to identify data trends, inconsistencies, missing data patterns, and potential study risks
  • Develop custom reports, listings, and data visualizations to support proactive data cleaning and study oversight
  • Utilize R, SQL, SAS, or similar tools to query, analyze, and troubleshoot clinical datasets
  • Partner with CROs and vendors to ensure high-quality, timely data delivery
  • Collaborate cross-functionally with Clinical Operations, Biostatistics, Statistical Programming, Medical, and Safety teams on data review strategies and issue resolution
  • Contribute to development and review of key deliverables including:
    • Data Management Plans (DMPs)
    • eCRF design and completion guidelines
    • Edit checks and query logic
    • User Acceptance Testing (UAT)
    • Data review plans and cleaning processes
  • Support ongoing query management and ensure data integrity, consistency, and inspection readiness
  • Assist with implementation of data standards, reporting enhancements, and process improvements
  • Work independently to investigate data anomalies and recommend practical solutions in a fast-paced biotech environment

Qualifications

  • BS in a scientific, technical, or clinical discipline
  • Approximately 5–8 years of clinical data management experience within biotech, pharma, or CRO environments
  • Strong hands-on experience reviewing and interrogating clinical trial data
  • Experience using R, SQL, SAS, or other querying/reporting tools to analyze clinical data and generate custom reports
  • Experience with EDC systems such as Medidata Rave, Oracle, or Veeva
  • Working knowledge of CDISC standards (SDTM/ADaM) and downstream data usage
  • Experience supporting Phase II and/or III clinical trials; CNS experience is a plus
  • Exposure to CRO/vendor oversight
  • Understanding of clinical data structures and dictionaries including MedDRA and WHODrug
  • Strong critical thinking and problem-solving skills with the ability to work independently
  • Resourceful, proactive, detail-oriented, and comfortable operating in a dynamic biotech environment
  • Strong communication and cross-functional collaboration skills