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Manufacturing Data Analyst Remote Jobs in Connecticut

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 ...

Icon Health

Senior Data Analyst

Stamford, CT · On-site +1

$100K - $120K/yr

Remote Reports To: SVP, Data and Technology Who We Are Icon Health is a leading provider of value ... Analyze structured healthcare data (e.g., claims, eligibility, prior authorization) to identify ...

Icon Health

Senior Data Analyst

Stamford, CT · Remote

$91K - $115K/yr

Remote Reports To: SVP, Data and Technology Who We Are Icon Health is a leading provider of value ... Analyze structured healthcare data (e.g., claims, eligibility, prior authorization) to identify ...

IQVIA

Data Analytics Analyst II

Hartford, CT · Remote

$56K - $140K/yr

The Role of a PASS Data Analyst: Analysts begin under the guidance of more senior team members, but ... A willingness or ability to travel as needed ( This is a remote / WFH role open to candidates ...

Aequor

$115K - $138K/yr

100% Remote Please source at open market rate This is a job template for special exceptions. ABOUT ... We Client, develop, manufacture, and deliver innovative medicines to help millions of patients ...

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.

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Manufacturing Data Analyst Remote information

How can I make $100,000 a year working from home?

A Manufacturing Data Analyst working remotely can reach a $100,000 annual salary by gaining specialized skills in data analysis, manufacturing processes, and tools like SQL or Python, along with relevant certifications. Building experience, demonstrating strong analytical abilities, and working for companies that offer competitive pay and remote opportunities are key factors in achieving this income level.

What is the difference between Manufacturing Data Analyst Remote vs Manufacturing Data Analyst in-office?

AspectManufacturing Data Analyst RemoteManufacturing Data Analyst In-office
Work EnvironmentRemote, home-based setup with digital collaboration toolsOn-site manufacturing facilities or office locations
Required CredentialsBachelor's in Data Analysis, Manufacturing, or related field; proficiency in data toolsSame as remote, often with additional industry-specific certifications
Employer & Industry UsageManufacturing companies adopting remote data analysis practicesTraditional manufacturing settings with on-site data analysis
Search & Comparison IntentPeople looking for remote manufacturing data analysis rolesIndividuals seeking in-office manufacturing data analyst jobs

The main difference between Manufacturing Data Analyst Remote and in-office roles lies in the work environment. Remote positions allow analysts to work from home using digital tools, while in-office roles require presence at manufacturing sites or offices. Credentials and industry usage are similar, but the choice depends on your preference for remote work versus on-site presence.

How does a Manufacturing Data Analyst collaborate with production teams in a remote setting?

As a remote Manufacturing Data Analyst, you will regularly interact with production managers, engineers, and quality assurance teams through virtual meetings and digital collaboration tools. Your main responsibilities include collecting and analyzing production data, identifying trends, and providing actionable insights to optimize manufacturing processes. Effective communication skills are essential, as you’ll often present your findings and recommendations remotely, ensuring all stakeholders are aligned despite not being on-site. Regular updates and digital dashboards help maintain transparency and foster strong team collaboration.

Is it possible to get a remote job as a data analyst?

Yes, many data analyst roles, including manufacturing data analysts, are available as remote positions. These jobs often require skills in data visualization, SQL, and tools like Excel or Tableau, and may involve remote collaboration tools. The availability of remote work depends on the employer and the specific job requirements.

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

To thrive as a Manufacturing Data Analyst (Remote), you need strong analytical skills, proficiency in data modeling, and a relevant degree in engineering, mathematics, or a related field. Familiarity with data analytics tools such as SQL, Python, Power BI, and ERP/MES systems, as well as certifications like Six Sigma, is highly beneficial. Excellent problem-solving abilities, communication skills, and attention to detail help you interpret data and collaborate across teams. These skills are crucial for driving data-driven decision-making, process improvements, and operational efficiency in manufacturing environments.

What does a manufacturing data analyst do?

A manufacturing data analyst collects, analyzes, and interprets production and operational data to identify trends, improve processes, and support decision-making. They often use tools like Excel, SQL, or data visualization software and may work closely with engineering and production teams to optimize manufacturing efficiency.

What is a Manufacturing Data Analyst (Remote)?

A Manufacturing Data Analyst (Remote) is a professional who analyzes production data to help manufacturers optimize efficiency, reduce waste, and improve product quality. Working remotely, they collect, process, and interpret data from manufacturing processes using analytical tools and software. They collaborate with engineering, operations, and management teams to identify trends, troubleshoot issues, and recommend data-driven improvements. Their insights support strategic decision-making and help companies maintain competitive advantages in their production operations.

How can I make $2000 a week working from home?

A Manufacturing Data Analyst working remotely can potentially earn $2000 or more per week by gaining specialized skills in data analysis, using tools like Excel, SQL, or Python, and working for companies that offer high-paying freelance or contract roles. Building a strong portfolio, obtaining relevant certifications, and seeking opportunities with higher pay rates can help achieve this income level. Consistent remote work, often on a full-time basis, is essential for reaching such earnings.
What are popular job titles related to Manufacturing Data Analyst Remote jobs in Connecticut? For Manufacturing Data Analyst Remote jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Manufacturing Data Analyst Remote jobs in Connecticut look for? The top searched job categories for Manufacturing Data Analyst Remote jobs in Connecticut are:
What cities in Connecticut are hiring for Manufacturing Data Analyst Remote jobs? Cities in Connecticut with the most Manufacturing Data Analyst Remote job openings:
Manufacturing Data Analyst Remote jobs near you
Infographic showing various Manufacturing Data Analyst Remote job openings in Connecticut as of July 2026, with employment types broken down into 65% Full Time, and 35% Contract. Highlights an 100% Remote job distribution.

Technical Clinical Data Manager /Data Analyst (Remote)

Penfield Search Partners

Fairfield, CT • Remote

Other

Posted yesterday

New

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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