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Remote Legal Data Analyst Jobs in Connecticut (NOW HIRING)

Sr. Engineer, Data & Analytics

Stamford, CT · Remote

$122K - $146K/yr

About the Role As our Sr. Engineer, Data & Analytics, you will build both the data foundation and ... This position is remote and will report into Lovesac Corporate HUB based in Stamford, CT.

$115K - $138K/yr

100% Remote Please source at open market rate This is a job template for special exceptions. ABOUT ... Strong business analysis skills, including requirements gathering, process mapping, documentation ...

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Remote Legal Data Analyst information

What is a remote legal data analyst?

A Remote Legal Data Analyst is a professional who works from a remote location to collect, process, and analyze legal data for law firms, corporations, or government agencies. They use data analysis tools to extract insights from legal documents, case law, or regulatory information to support legal strategies or compliance efforts. Their work helps legal teams make informed decisions, improve efficiency, and identify trends or risks within large sets of legal data. Remote Legal Data Analysts often collaborate virtually with attorneys and other stakeholders, utilizing secure technology to handle sensitive information.

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

To thrive as a Remote Legal Data Analyst, you need strong analytical skills, legal research expertise, and a background in law, paralegal studies, or data analysis. Familiarity with legal research databases (such as LexisNexis or Westlaw), data visualization tools, and spreadsheet software is typically required. Exceptional attention to detail, problem-solving abilities, and clear written communication are standout soft skills for this role. These skills are essential for accurately interpreting legal documents, providing actionable insights, and supporting legal teams effectively from a remote environment.

How does a remote legal data analyst typically collaborate with legal teams and other stakeholders?

As a Remote Legal Data Analyst, you will frequently collaborate with attorneys, paralegals, and IT professionals to gather, interpret, and present legal data. Most communication occurs through digital platforms such as email, video conferencing, and project management tools. You'll be expected to provide actionable insights, support case preparation, and ensure data accuracy while adapting to various workflows depending on the firm's size and specialty. Strong communication and organizational skills are essential to ensure seamless collaboration and timely project delivery.

What are the most commonly searched types of Legal Data Analyst jobs in Connecticut?

The most popular types of Legal Data Analyst jobs in Connecticut are:

What job categories do people searching Remote Legal Data Analyst jobs in Connecticut look for?

The top searched job categories for Remote Legal Data Analyst jobs in Connecticut are:

What cities in Connecticut are hiring for Remote Legal Data Analyst jobs?

Cities in Connecticut with the most Remote Legal Data Analyst job openings:

Technical Clinical Data Manager /Data Analyst (Remote)

Penfield Search Partners

Fairfield, CT • Remote

Full-time

Posted 17 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