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Meta Data Analyst Jobs in Washington (NOW HIRING)

Meta

Regulatory Readiness Program Manager

Washington, DC · Remote

$163K/yr

... Meta's data practices and product offerings. As this is a highly visible role that requires ... Lead gap analyses that allow Product teams to more easily identify deltas between new regulations ...

Leidos

Mid-Level Data Scientist

Springfield, VA · On-site

$73K - $132K/yr

This team member will collect, process, and perform data analysis and deliver data driven solutions ... meta-data from a variety of sources, including Raster to vector-to-vector text to vector and text ...

Leidos

Mid-Level Data Scientist

Springfield, VA · On-site

$73K - $132K/yr

This team member will collect, process, and perform data analysis and deliver data driven solutions ... meta-data from a variety of sources, including Raster to vector-to-vector text to vector and text ...

Omnicom

Analyst, Analytics

Washington, DC · On-site

Data and Analytics Job Subfunction: Data Science and Analytics Who We Are Weber Shandwick is more ... Meta Business Suite, or similar tools is a plus. Ability to synthesize information from first-party ...

Meta

Energy Integration Manager

Reston, VA · On-site

Meta's energy footprint is scaling faster than any single team can assess end to end. We have deep specialist strength across data, analytics, asset man.

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Meta Data Analyst information

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$38.5K

$93.6K

$154K

How much do meta data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for meta data analyst in Washington is $93,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $109,900.00 per year, depending on experience, location, and employer.

What is a meta data analyst?

A Meta Data Analyst is responsible for managing and analyzing metadata, which is data about data, to improve data governance, discoverability, and quality. They work with databases, data catalogs, and systems to ensure accurate metadata tagging and organization. Their role supports data management strategies by enhancing data lineage, classification, and compliance with industry standards. Meta Data Analysts collaborate with data engineers, scientists, and business teams to optimize data usability and accessibility.

What are the typical daily responsibilities of a meta data analyst?

As a Meta Data Analyst, your daily tasks often include collecting, organizing, and maintaining metadata that describes an organization's data assets. You will collaborate closely with data engineers, business analysts, and IT teams to ensure data assets are accurately documented and easily accessible. Reviewing and updating data dictionaries, applying data governance frameworks, and supporting compliance efforts are also common aspects of the role. Staying up-to-date with best practices and troubleshooting data lineage or quality issues are part of your routine, making attention to detail and proactive communication critical for success.

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

To thrive as a Meta Data Analyst, you need a strong background in data management, information systems, and data governance, often supported by a degree in computer science or information technology. Familiarity with metadata management tools (such as Collibra or Informatica), database systems, and knowledge of relevant data privacy and compliance standards is crucial. Attention to detail, analytical thinking, and strong communication skills help analysts effectively document metadata and collaborate with cross-functional teams. These skills are essential to ensure accurate data cataloging, facilitate data quality, and support efficient data-driven decision-making across an organization.

Is it still worth it to become a meta data analyst in 2026?

Meta Data Analysts are in demand for managing and interpreting large datasets, especially as organizations increasingly rely on data-driven decision-making. Skills in database management, data visualization tools, and programming languages like SQL or Python enhance job prospects, which are expected to remain stable or grow through 2026.

What are the most commonly searched types of Meta Data Analyst jobs in Washington?

The most popular types of Meta Data Analyst jobs in Washington are:

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

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

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

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

What cities in Washington are hiring for Meta Data Analyst jobs?

Cities in Washington with the most Meta Data Analyst job openings:

Meta Data Analyst jobs near you
Infographic showing various Meta Data Analyst job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $93,598 per year, or $45 per hour.

Data Scientist, Analytics (Technical Leadership)

Meta

Washington, DC

$210K/yr

Full-time

Re-posted 20 days ago

Key responsibilities

  • Collaborate with cross-functional partners to identify and solve complex problems using data and analysis.

  • Apply analytical and statistical approaches to work with complex data sets and develop product strategies.

  • Communicate insights and recommendations to stakeholders to inform product development and strategy.

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
Data Scientist, Analytics (Technical Leadership) Responsibilities:
  • Work with complex data sets to solve challenging problems using analytical and statistical approaches
  • Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
  • Identify and measure success through goal setting, forecasting, and monitoring key metrics
  • Partner with cross-functional teams to inform and execute product strategy and investment decisions
  • Build long-term vision and strategy for programs and products
  • Collaborate with executives to define and develop data platforms and instrumentation
  • Effectively communicate insights and recommendations to stakeholders
  • Define success metrics, forecast changes, and set team goals
  • Support developing roadmaps and coordinate analytics efforts across teams

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
  • 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
  • Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
  • Experience with predictive modeling, machine learning, and experimentation/causal inference methods
  • Experience communicating complex technical topics in a clear, precise, and actionable manner

Preferred Qualifications:
  • 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
  • Masters or Ph.D. Degree in a quantitative field
  • Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
  • 10+ years of experience doing complex quantitative analysis in product analytics
  • 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.
$210,000/year to $281,000/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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