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Meta Data Analyst Jobs in Virginia (NOW HIRING)

Meta

Energy Integration Manager

Reston, VA

$160K/yr

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 management, and energy origination -- but the ...

Systems Planning and Analysis

Data Scientist

Springfield, VA · On-site

$130K - $150K/yr

... meta modeling, AI, and neural network analysis. Candidate must be self-motivated and ready to ... Data analysis competency with mathematical programming languages (i.e., MATLAB, Python, R, etc.) or ...

Arete Technologies, Inc.

Web Developer

Richmond, VA · On-site

Fluent command of meta data best practices including but not limited to: meta descriptions, meta keywords, Google Analytics and various other search engine algorythms. * The ability to design a ...

Meta

Energy Portfolio Manager, Wholesale

Reston, VA

$160K/yr

Coordinate with Meta's Energy Analytics team, market-participating affiliate, and/or third-party ... Maintain organized, auditable contract documents and data within team systems (Salesforce, shared ...

Meta

Mechanical Subject Matter Expert

Henrico, VA

$114K/yr

Lead and/or participate in root-cause analysis activities in area of expertise * Provide training ... Experience in data center industry About Meta: Meta builds technologies that help people connect ...

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How much do meta data analyst jobs pay per year?

As of Jul 17, 2026, the average yearly pay for meta data analyst in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Meta Data Analysts and other data science roles do not have strict age limits; many professionals start or transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and experience are valued in the field, making age less of a barrier than skill and knowledge.

How to get into Meta as a data analyst?

To become a data analyst at Meta, candidates typically need a bachelor's degree in a related field such as statistics, computer science, or mathematics, along with strong skills in SQL, data visualization tools, and statistical analysis. Gaining experience through internships, projects, or certifications in data analysis or related areas can improve chances. Familiarity with Meta's tools and a solid understanding of data privacy and security are also beneficial.

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 in the Meta Data Analyst position, and why are they important?

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.

How much does a Meta data analyst make?

A Meta Data Analyst typically earns between $60,000 and $100,000 annually, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced analysts with advanced skills in data management and analytics tools can earn higher salaries.

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

Meta Data Analysts are in demand as organizations rely on data-driven decision-making, and skills in SQL, Excel, and data visualization tools remain valuable. The role is expected to grow with increasing data volumes, making it a viable career choice for those with strong analytical and technical skills.

What is a Meta Data Analyst job?

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 most commonly searched types of Meta Data Analyst jobs in Virginia? The most popular types of Meta Data Analyst jobs in Virginia are:
What are popular job titles related to Meta Data Analyst jobs in Virginia? For Meta Data Analyst jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Meta Data Analyst jobs in Virginia look for? The top searched job categories for Meta Data Analyst jobs in Virginia are:
What cities in Virginia are hiring for Meta Data Analyst jobs? Cities in Virginia with the most Meta Data Analyst job openings:
Meta Data Analyst jobs near you
Infographic showing various Meta Data Analyst job openings in Virginia as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.
Energy Integration Manager

Energy Integration Manager

Meta

Reston, VA

$160K/yr

Full-time

Posted 18 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies

Job description

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 management, and energy origination — but the connective tissue between them, the shared view of portfolio health, and the operating cadence that turns those signals into procurement decisions are still maturing. This role builds the connective tissue.This is a force-multiplier role for the entire Energy organization: one person owning how our teams' data, decisions, and execution come together into a single, trusted, AI-accelerated view of portfolio health — and using it to unlock faster, sharper, more confident energy procurement at scale. It is explicitly complementary to our specialist teams: it does not replace their judgment or own their functions; it makes each of them faster, more connected, and more visible to leadership.
Energy Integration Manager Responsibilities:
  • Integrate energy data across the org by partnering with data and analytics teams to connect fragmented sources into a coherent, decision-grade portfolio picture — defining the shared data model, definitions, and source of truth that asset management, origination, and wholesale all rely on
  • Up-level portfolio health visibility by taking reporting from periodic and manual to continuous, predictive, and trusted — surfacing risk, exposure, and opportunity early enough to act on, and setting the metrics, cadence, and review forums leadership runs the portfolio by
  • Expand the operating model across all Energy teams by bringing a consistent, lightweight program operating system to data, analytics, asset management, energy origination, and wholesale — ensuring cross-team initiatives have clear ownership, dependencies are visible, and execution doesn't stall at the seams between functions
  • Apply AI to scale the work by standing up AI and agentic tooling that automates portfolio reporting, flags anomalies and risks, drafts decision briefs, and compresses the time from data to insight to procurement action — serving as the org's pathfinder for where AI meaningfully accelerates energy operations
  • Be a thought partner to all energy and partner teams by translating the integrated portfolio view into clear, executive-ready narratives that drive resourcing, prioritization, and procurement strategy for the years ahead

Minimum Qualifications:
  • Demonstrated experience standing up operating cadences, portfolio/health reporting, and governance that leaders actually run their business by
  • Proven track record of leading complex, cross-functional programs or operations in energy and infrastructure
  • Hands-on experience applying AI/automation to operational or analytical work, with sound judgment on where it adds leverage versus where it does not
  • Strong data fluency — comfortable defining metrics and data models, working directly with analytics teams, and turning messy multi-source data into trusted decision-grade reporting
  • Executive communication skills with the ability to distill complexity into crisp narratives for leadership and influence without authority across specialist teams

Preferred Qualifications:
  • 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
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Background spanning both technical (data/analytics) and commercial (procurement/origination/wholesale) contexts
  • 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
  • Domain knowledge of large energy portfolio metrics, energy markets, procurement, and the energy origination process
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and familiarity with responsible AI practices including risk assessment and quality reviews
  • Experience driving alignment and operational cohesion across multiple teams by establishing shared processes, visibility, and cross-functional coordination
  • Experience building AI/agentic workflows in a production setting (e.g., automated reporting, anomaly detection, decision-support tooling) with demonstrated ability to optimize/redesign workflows and drive measurable impact

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.
$160,000/year to $232,000/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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