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Senior Data Analyst Remote Jobs in Connecticut (NOW HIRING)

RTX Corporate

R2R SAP Business Analyst - Remote

Hartford, CT · On-site +1

$52.75 - $70.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

US-CT-REMOTE Position Role Type: Remote U.S. Citizen, U.S. Person, or Immigration Status ... Experience with finance processes including such as Finance Master Data, Allocations, FP&A, ...

Archgroup

AVP, AI (Data Science/Engineer) Remote - EST

Hartford, CT · Remote

$185K - $235K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Analytics. Reporting to the SVP of AI & Automation, you will lead the development of multi-agent AI solutions that automate complex business decisions across underwriting and claims. This role is ...

Archgroup

AVP, AI (Data Science/Engineer) Remote - EST

Hartford, CT · Remote

$185K - $235K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Analytics. Reporting to the SVP of AI & Automation, you will lead the development of multi-agent AI solutions that automate complex business decisions across underwriting and claims. This role is ...

LOVESAC COMPANY

Sr. Engineer, Data & Analytics

Stamford, CT · Remote

$122K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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.

LOVESAC COMPANY

Sr. Engineer, Data & Analytics

Stamford, CT · On-site +1

$100K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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.

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Senior Data Analyst Remote information

What is a senior data analyst remote?

A Senior Data Analyst Remote job involves analyzing complex datasets to provide insights that drive business decisions, all while working from a remote location. Responsibilities typically include data modeling, visualization, and collaborating with cross-functional teams to optimize strategies. Senior analysts are expected to have advanced analytical skills, experience with SQL, Python, or R, and familiarity with business intelligence tools. They also help streamline data processes and ensure data accuracy for strategic planning. This role requires strong communication skills to present findings clearly to stakeholders.

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

To excel as a Senior Data Analyst Remote, you need advanced analytical skills, a solid background in statistics, and experience with large datasets, typically supported by a bachelor's or master's degree in a quantitative field. Expertise in SQL, Python or R, data visualization tools like Tableau or Power BI, and familiarity with cloud-based data platforms are commonly required, along with relevant certifications such as Google Data Analytics or Microsoft Certified Data Analyst. Excellent communication, problem-solving ability, and project management skills are highly valued in this remote role to ensure effective collaboration and stakeholder engagement. These competencies are essential for delivering actionable insights, driving business decisions, and thriving within distributed, cross-functional teams.

What are the typical challenges faced by senior data analysts working remotely, and how can they be overcome?

Senior Data Analysts working remotely often face challenges related to effective cross-team communication, accessing data securely, and maintaining alignment with business goals. Proactively scheduling regular virtual check-ins, using collaborative project management tools, and ensuring access to up-to-date documentation can help bridge gaps and keep work on track. To overcome data access and security issues, it’s important to follow organizational protocols for secure connection to data sources and encrypted communication. Staying connected with stakeholders through clear, concise reporting also supports transparency and alignment. By embracing structured workflows and leveraging remote collaboration tools, remote Senior Data Analysts can stay productive and closely integrated with their teams.

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

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

What are popular job titles related to Senior Data Analyst Remote jobs in Connecticut?

For Senior Data Analyst Remote jobs in Connecticut, the most frequently searched job titles are:

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

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

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

Senior Data Analyst Remote jobs near you
Infographic showing various Senior Data Analyst Remote 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.

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