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Remote Data Jobs in Hamden, CT (NOW HIRING)

Purplejack Technologies LLC

Snowflake Engineer

New Haven, CT · On-site +1

$115K - $138K/yr

New Haven, CT (Preferred) OR Remote/Hybrid (Occasional travel once per month) Employment Type ... This role requires hands-on experience with Data Vault 2.0, dimensional modeling, data pipeline ...

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All JobsData JobsRemote Data JobsRemote Data Jobs in Hamden, CT

Remote Data information

See Hamden, CT salary details

$45.7K

$164.1K

$242.1K

How much do remote data jobs pay per year?

As of Jun 14, 2026, the average yearly pay for remote data in Hamden, CT is $164,059.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,700.00 and $169,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, especially with specialized skills in programming, statistics, and tools like SQL or Python. To reach $2000 weekly, professionals often need extensive experience, a strong portfolio, and may work as freelancers or in consulting, often requiring a full-time schedule or multiple projects simultaneously.

What job makes $10,000 a month without a degree?

Remote data-related roles such as data analyst, data engineer, or freelance data consultant can potentially earn $10,000 or more per month without a formal degree, especially with strong skills in SQL, Python, or data visualization tools. Success in these roles often depends on experience, portfolio, and the ability to secure high-paying clients or positions, rather than formal education alone.

How to make $1000 a week remotely?

Remote data-related jobs such as data analysis, data entry, or data management can offer opportunities to earn $1000 weekly, especially with high-demand skills like SQL, Excel, or Python. Achieving this income typically requires consistent work, specialized skills, and possibly freelance or contract work arrangements that pay per project or hourly rates of $25-$50 or more.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals successfully transition into the field at age 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, and building a strong portfolio. Employers value experience and problem-solving ability, making it possible to start a data science career at any age with dedication.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Hamden, CT? The most popular types of Data jobs in Hamden, CT are:
What cities near Hamden, CT are hiring for Remote Data jobs? Cities near Hamden, CT with the most Remote Data job openings:
Remote Data jobs near you
Infographic showing various Remote Data job openings in Hamden, CT as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $164,059 per year, or $78.9 per hour.
Clinical Data Manager /Data Analyst (Remote)

Clinical Data Manager /Data Analyst (Remote)

Penfield Search Partners

Fairfield, CT • Remote

Other

Posted 14 hours ago

Job description

Job Description Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com 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.

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