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Internship Meta Data Analyst Jobs in Boston, MA (NOW HIRING)

Meta is seeking an experienced Energy Analyst to join the Infrastructure Data Center (IDC) Energy ... team, which is responsible for energy strategy, commercial and clean energy procurement, and energy ...

New

Founding Data Analyst

Boston, MA · On-site

$120 - $180/hr

Sinai, Mass General, UCSF) and technology (MIT, Google, DeepMind, NVIDIA, Stripe, Meta) -- and we ... Data Analyst to join our FinOps team and build the data foundation that powers Counsel's growth.

New

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

... with analytics platforms * Participate in data requirements, modelling and testing * Tasks & responsibilities: * Provide technical support related to data structures, data models and meta data ...

Meta is committed to advancing the field of artificial intelligence by making fundamental advances ... Our interns have an opportunity to make core algorithmic advances and apply their ideas at an ...

Meta operates one of the largest Content Delivery Networks in the world. The Edge Production Infra ... Provide analysis and planning support to the infrastructure, data analytics and product teams to ...

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Internship Meta Data Analyst information

See Boston, MA salary details

$13

$24

$45

How much do internship meta data analyst jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for internship meta data analyst in Boston, MA is $24.45, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $26.63 per hour, depending on experience, location, and employer.

What is an internship meta data analyst?

Internship Meta Data Analysts are interns who assist organizations in collecting, organizing, and analyzing data about data—referred to as metadata. Their role typically involves working with large datasets, ensuring accuracy and consistency of data labels, and supporting data-driven decision-making processes. These interns may also help develop systems for managing metadata, improve data quality, and support various business or research projects. The internship provides hands-on experience in data analytics and helps build foundational skills for a career in data science or information management.

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

To thrive as an Internship Meta Data Analyst, you need a solid understanding of data analysis, database concepts, and metadata management, often supported by coursework in computer science, information systems, or a related field. Familiarity with tools such as SQL, Excel, Python, and metadata management platforms is typically required. Attention to detail, analytical thinking, and effective communication are crucial soft skills in this role. These skills are essential for accurately organizing, interpreting, and presenting metadata to support data-driven decision-making within organizations.

What are some common challenges faced by internship meta data analysts, and how can they effectively overcome them?

Internship Meta Data Analysts often encounter challenges such as managing large volumes of complex data, ensuring data accuracy, and adapting to rapidly changing project requirements. To overcome these obstacles, it's helpful to develop strong organizational skills, seek guidance from experienced team members, and utilize data management tools provided by the company. Open communication and proactive problem-solving can also help interns navigate the learning curve and contribute effectively to the team.

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

AspectInternship Meta Data AnalystData Analyst
Required CredentialsCurrently pursuing or recently completed a degree in data science, statistics, or related fieldBachelor's or master's degree in data science, statistics, or related field
Work EnvironmentInternship setting, often part-time or temporary, in tech or data-driven companiesFull-time or part-time roles in various industries like finance, healthcare, or tech
Employer & Industry UsageUsed by companies for training and entry-level talent in data and tech sectorsWidely employed across industries for data analysis and decision-making

The main difference is that an Internship Meta Data Analyst is an entry-level, temporary position aimed at gaining experience, while a Data Analyst is a full-time role requiring more experience and responsibilities. Internships serve as a stepping stone into the data industry, whereas Data Analysts typically handle ongoing data projects and analysis tasks.

Infographic showing various Internship Meta Data Analyst job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $50,854 per year, or $24.4 per hour.

Energy Analyst, Data Center Portfolio

Meta

Boston, MA • On-site, Remote

$132K/yr

Full-time

Posted 3 days ago

New


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies


Job description

Meta designs, builds, and operates some of the most innovative and energy-efficient data centers in the world. As global demand for compute infrastructure grows, so does the complexity of securing reliable, cost-effective, and sustainable energy supplies. Meta is seeking an experienced Energy Analyst to join the Infrastructure Data Center (IDC) Energy team, which is responsible for energy strategy, commercial and clean energy procurement, and energy portfolio management across Meta's rapidly expanding global data center portfolio. In this role, you will provide analytical expertise that directly informs site selection, energy procurement decisions, long-term capacity planning, and financial governance.
Energy Analyst, Data Center Portfolio Responsibilities:
  • Analyze electric tariffs and wholesale market prices to evaluate energy cost implications for new and existing data center sites
  • Develop and maintain financial models to forecast energy consumption, demand charges, and rate impacts across Meta's global data center portfolio
  • Conduct comprehensive load and cost analytics to support regional expansion and inform energy procurement strategies
  • Build scalable analytical tools and dashboards to streamline portfolio analysis and improve reporting efficiency
  • Engage with Infrastructure and Capacity Engineering stakeholders to incorporate data center design trends into load forecasting methodologies
  • Monitor wholesale energy market developments, regulatory changes, and utility rate proceedings that may affect Meta's data center operating costs
  • Synthesize complex energy data and present findings clearly to technical and non-technical stakeholders across the organization
  • Support the risk program to identify and quantify portfolio-wide wholesale market exposure
  • Create scalable AI-native analytical tool to improve efficiency and accuracy

Minimum Qualifications:
  • 6+ years of experience in the energy industry with a focus on wholesale or retail rate analysis, load forecasting, or energy market analytics
  • Experience analyzing electric utility tariffs, wholesale energy market data, and renewable energy structures
  • Experience applying quantitative and financial modeling methodologies to evaluate energy market risks and opportunities
  • Experience collaborating cross-functionally with Finance, Accounting, or Infrastructure teams to support data-driven business decisions
  • Experience prioritizing and managing multiple concurrent analytical workstreams to meet project deadlines

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Familiarity with renewable energy procurement structures, including power purchase agreements and renewable energy certificates
  • Experience working with large energy consumers, electric utilities, energy service providers, or energy consultancies in a data center or industrial context
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience coding in Python, SQL, or similar languages to automate data processing and build analytical pipelines
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience creating AI-native tooling and dashboards

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.
$132,000/year to $188,000/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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