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Remote Meta Data Analyst Jobs in Connecticut (NOW HIRING)

PNC

Business Systems Analyst Senior

Hartford, CT · On-site +1

$63K - $106K/yr

... remote work in select geographic locations, subject to approval by PNC. If approved, work must be ... Preferred Skills Application Development, Business Management, Customer Solutions, Data Analysis ...

The Hartford

Data & AI Delivery Lead

Hartford, CT · On-site +1

$156K - $234K/yr

Experience in data and analytics delivery and cloud migration (AWS/Snowflake). Preferred ... Hybrid / Or Remote This role can have a Hybrid or Remote work schedule. Candidates who live near ...

Stamford Health

Systems Analyst I

Stamford, CT · On-site +1

... Friday, 9:00AM-5:00PM 4 Days Remote, 1 Day In-Office (3001 Summer St., Stamford CT ... data integrity. * Serve as subject matter expert (SME) for Epic Hospital Billing application ...

pitneybowes

RevOps Analytics Manager

Shelton, CT · On-site +1

$100K - $120K/yr

Ensure data accuracy and consistency across systems, sources, and reports. * Build, optimize, and ... Can be either fully remote (anywhere in U.S.) or hybrid model, depending on proximity to Shelton ...

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Remote Meta Data Analyst information

What is a remote meta data analyst?

A Remote Meta Data Analyst is a professional who works from a remote location to organize, manage, and analyze metadata—data that describes other data—within an organization. Their role typically involves ensuring the accuracy, consistency, and accessibility of metadata across digital systems, which helps improve data quality and supports business decision-making. They may work with data governance teams, IT departments, and business analysts to standardize data assets and comply with regulations. Strong analytical skills, attention to detail, and experience with metadata management tools are important for this role.

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

To thrive as a Remote Meta Data Analyst, you need a solid understanding of data management principles, metadata standards, and a relevant degree in information science, computer science, or a related field. Familiarity with metadata management tools (such as Collibra or Alation), SQL, and data cataloging systems is typically required. Strong analytical thinking, attention to detail, and effective remote communication help you excel in this position. These skills ensure accurate data documentation, streamlined data governance, and effective collaboration across distributed teams.

How does a remote meta data analyst typically collaborate with other teams while working off-site?

As a Remote Meta Data Analyst, collaboration is primarily achieved through virtual meetings, project management platforms, and shared data repositories. You will frequently interact with data engineers, business analysts, and IT teams to ensure data accuracy, consistency, and usability. Regular check-ins, clear documentation, and proactive communication are essential for aligning on project goals and addressing any issues quickly. While remote, you are expected to be self-motivated and responsive to maintain seamless teamwork across different time zones and departments.

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

AspectRemote Meta Data AnalystRemote Data Analyst
Required CredentialsBachelor's in Data Science, Information Technology, or related field; familiarity with metadata standardsBachelor's in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentRemote, often collaborating with data management teamsRemote, working with data sets and reporting tools
Industry UsageUsed in data management, digital asset management, and metadata catalogingCommon across finance, marketing, healthcare, and more for data insights

The Remote Meta Data Analyst focuses on managing and organizing metadata to ensure data quality and discoverability, while the Remote Data Analyst primarily analyzes data sets to generate insights. Both roles often work remotely and require strong analytical skills, but their core responsibilities differ in focus on metadata versus raw data analysis.

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

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

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

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

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

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

Remote Meta Data Analyst jobs near you
Infographic showing various Remote Meta Data Analyst job openings in Connecticut as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Cheminformatics Specialist - Remote

micro1 AI

New Haven, CT • On-site, Remote

$90 - $120/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.

Apply