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Remote Traffic Data Analyst Jobs in Connecticut (NOW HIRING)

LOVESAC COMPANY

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.

Aequor

$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 ...

CVS Health

Medical Economics Analyst

Hartford, CT · Remote

$54K - $145K/yr

We are seeking professionals with expertise in either Data Analytics or Data Strategy to help ... through data-driven decision making. Please note: This remote position is not eligible for ...

BIC

Category Analyst, Shave

Shelton, CT · Remote

The Category Analyst supports U.S. category development initiatives through data analysis ... Data integrity across customer reporting #LI-remote BIC World is an Equal Opportunity Employer. We ...

Linde Group

Data Scientist

Danbury, CT · Remote

Write SQL queries to analyze data and support systemoperations, utilizing technologies, including ... Remote work permitted from any location in theU.S.

Linde

Data Scientist

Danbury, CT · Remote

Write SQL queries to analyze data and support systemoperations, utilizing technologies, including ... Remote work permitted from any location in theU.S.

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All JobsTraffic Data Analyst JobsRemote Traffic Data Analyst JobsRemote Traffic Data Analyst Jobs in Connecticut

Remote Traffic Data Analyst information

What does a remote traffic data analyst do?

A Remote Traffic Data Analyst is responsible for collecting, analyzing, and interpreting data related to traffic patterns, transportation systems, and vehicle movements, all while working from a remote location. They use various data sources, such as sensors, cameras, and GPS, to identify trends, forecast congestion, and provide insights that help improve transportation planning and safety. Their work supports decision-making for government agencies, urban planners, and private companies seeking to optimize traffic flow and infrastructure.

What are some common challenges faced by remote traffic data analysts, and how can they be effectively managed?

Remote Traffic Data Analysts often encounter challenges such as integrating data from multiple sources, ensuring data accuracy, and maintaining clear communication with team members across different locations. Managing large datasets while adhering to strict deadlines can also be demanding. Effective management of these challenges involves utilizing advanced data analytics tools, establishing regular virtual check-ins with the team, and maintaining meticulous documentation. Proactively seeking feedback and staying updated with the latest industry tools can further enhance efficiency and data quality.

What are the key skills and qualifications needed to thrive as a remote traffic data analyst, and why are they important?

To thrive as a Remote Traffic Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or transportation engineering, often supported by a relevant degree. Familiarity with data analysis tools like SQL, Python, R, and GIS software, as well as experience with traffic data collection systems, is essential. Attention to detail, problem-solving ability, and effective remote communication are valuable soft skills for this position. These competencies ensure accurate data interpretation, actionable insights, and seamless collaboration in supporting transportation planning and decision-making.

What is the difference between Remote Traffic Data Analyst vs Remote Digital Marketing Analyst?

AspectRemote Traffic Data AnalystRemote Digital Marketing Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in analytics toolsBachelor's in Marketing, Business, or related; knowledge of analytics and marketing tools
Work EnvironmentData-focused, analytical tasks, often in tech or analytics firmsMarketing campaigns, digital strategy, often in advertising or marketing agencies
Employer & Industry UsageTech companies, e-commerce, transportation sectorsAdvertising agencies, retail, online services

The Remote Traffic Data Analyst primarily focuses on analyzing traffic patterns and data to optimize online or physical traffic flow, while the Remote Digital Marketing Analyst concentrates on marketing strategies and digital campaigns. Both roles require analytical skills and familiarity with data tools, but they serve different business functions and industries.

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

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

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

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

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

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

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

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

Remote Traffic Data Analyst jobs near you

Technical Clinical Data Manager /Data Analyst (Remote)

Penfield Search Partners

Fairfield, CT • Remote

Full-time

Posted 23 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