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Remote Meta Data Analyst Jobs (NOW HIRING)

Meta

Data Engineer, Product Analytics

Redmond, WA · On-site +1

$147K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... This could include roles such as data analyst, data scientist, data engineer, or similar positions ...

Meta

Data Engineer, Product Analytics

New York, NY · On-site +1

$147K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... This could include roles such as data analyst, data scientist, data engineer, or similar positions ...

Meta

Data Engineer, Product Analytics

$177K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... This could include roles such as data analyst, data scientist, data engineer, or similar positions ...

Meta

Data Engineer, Product Analytics

Burlingame, CA · On-site +1

$147K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... This could include roles such as data analyst, data scientist, data engineer, or similar positions ...

Meta

Data Engineer, Product Analytics

Bellevue, WA · On-site +1

$147K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... This could include roles such as data analyst, data scientist, data engineer, or similar positions ...

Meta

Data Engineer, Product Analytics

Seattle, WA · On-site +1

$177K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... This could include roles such as data analyst, data scientist, data engineer, or similar positions ...

Meta

Data Engineer, Product Analytics

Menlo Park, CA

$147K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... Your technical skills and analytical mindset will be utilized designing and building some of the ...

Right Skale, Inc.

Data Analyst

Data Analyst - Long Term Contract - Remote (US-based) We're seeking a Data Analyst to support the People Development Operations team by automating reporting, streamlining data processes, and creating ...

Meta

Data Engineer, Product Analytics

Burlingame, CA · On-site +1

$177K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... This could include roles such as data analyst, data scientist, data engineer, or similar positions ...

Meta

Data Engineer, Product Analytics

Menlo Park, CA · On-site +1

$177K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... This could include roles such as data analyst, data scientist, data engineer, or similar positions ...

RightNow Media

Data Analyst- Remote

Mckinney, TX · On-site +1

The Data Analyst helps RightNow Media turn data into trusted, consistent, and actionable insight ... Schedule Full-time, Monday through Friday Work Location Fully remote **Please note we will not ...

Apex Informatics

Data Analyst

Data Analyst Location: Remote Duration: 6 Months (Contract) Demonstrated ability to effectively gather requirements, probe for deeper understanding, and translate deep technical concepts to non ...

Futran Tech Solutions Pvt. Ltd.

Data Analyst

CUSTOMER_NAME ESSENTIAL_SKILL Real Title OPEN_POS CONTRACTOR_JC NVIDIA Corporation CDP AI/ML Data Analyst 1 1854662 Location: - Remote is fine - Person has to okey with PST working hours. The ...

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All JobsRemote Meta Data Analyst Jobs

Remote Meta Data Analyst information

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$34K

$82.6K

$136K

How much do remote meta data analyst jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote meta data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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 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, and why are they important?

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.

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.

More about Remote Meta Data Analyst jobs
What cities are hiring for Remote Meta Data Analyst jobs? Cities with the most Remote Meta Data Analyst job openings:
What are the most commonly searched types of Meta Data Analyst jobs? The most popular types of Meta Data Analyst jobs are:
What states have the most Remote Meta Data Analyst jobs? States with the most job openings for Remote Meta Data Analyst jobs include:
What job categories do people searching Remote Meta Data Analyst jobs look for? The top searched job categories for Remote Meta Data Analyst jobs are:
Remote Meta Data Analyst jobs near you
Infographic showing various Remote Meta Data Analyst job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Nights. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Engineer, Product Analytics

Data Engineer, Product Analytics

Meta

Redmond, WA • On-site, Remote

$147K/yr

Full-time

Posted 5 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

123rd of 191 rated software companies

Job description

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities:
  • Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
  • Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
  • Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
  • Define and manage Service Level Agreements for all data sets in allocated areas of ownership
  • Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
  • Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
  • Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
  • Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
  • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
  • Influence product and cross-functional teams to identify data opportunities to drive impact
  • Mentor team members by giving/receiving actionable feedback

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
  • 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

Preferred Qualifications:
  • Master's or Ph.D degree in a STEM field
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$147,000/year to $208,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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