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Meta Analyst Jobs in Ohio (NOW HIRING)

... Meta's family of apps and services. In this role, you will analyze server and infrastructure capacity trends, model future demand, and partner with hardware, network, and site operations teams to ...

Meta is seeking a forward-thinking, experienced Production Systems Engineer to join the Data Center ... They should be able to perform deep data analysis to drive decisions on the top priorities for ...

Meta is seeking a data center lead building engineer to join our data center facility operations ... Support incident management, root cause analysis, and corrective action closure for any operational ...

Meta is seeking a forward-thinking, experienced Production Systems Engineer to join the Data Center ... They should be able to perform deep data analysis to drive decisions on the top priorities for ...

Meta is seeking a Mechanical Subject Matter Expert to support the design, operation, and continuous ... Lead and/or participate in root-cause analysis activities in area of expertise * Provide training ...

Meta is seeking a Mechanical Subject Matter Expert to support the design, operation, and continuous ... Lead and/or participate in root-cause analysis activities in area of expertise * Provide training ...

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Meta Analyst information

What are Meta Analysts and what do they do?

Meta Analysts are professionals who aggregate, analyze, and interpret data from multiple research studies to identify patterns, trends, and insights. They often conduct meta-analyses, which involve statistically combining results from different studies on the same topic to provide a more comprehensive understanding of a particular research question. Their work is crucial in fields such as healthcare, social sciences, and business, as it helps inform evidence-based decision-making. Meta Analysts typically possess strong analytical, statistical, and critical thinking skills, and are proficient in data management and interpretation.

What are the key skills and qualifications needed to thrive as a Meta Analyst, and why are they important?

To thrive as a Meta Analyst, you need strong analytical skills, statistical knowledge, and experience with data synthesis, often supported by a degree in statistics, data science, or a related field. Proficiency with statistical software (such as R or Python), data visualization tools, and familiarity with meta-analysis methodologies is typically required. Critical thinking, attention to detail, and effective communication are important soft skills for presenting complex findings clearly. These skills and qualities are essential for accurately interpreting large data sets and providing actionable insights to inform evidence-based decision making.

Is it hard to get hired by Meta?

Getting hired as a Meta analyst can be competitive due to high applicant volume and the company's rigorous hiring process. Candidates typically need relevant experience, strong analytical skills, and proficiency with tools like Excel or SQL, along with a solid understanding of data analysis methodologies.

How much does a Meta data analyst make?

A Meta data analyst typically earns between $70,000 and $110,000 annually, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced analysts with advanced skills in data tools and analytics can earn higher salaries.

What jobs pay 500,000 a year in the US?

High-paying roles such as senior executives, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. In the tech industry, senior data analysts or managers with extensive experience and advanced skills in analytics tools may also reach this level, especially in leadership positions or with bonuses and stock options.

Which 3 jobs will survive AI?

Meta Analysts, data scientists, and cybersecurity professionals are likely to continue thriving as AI automates routine tasks but requires human oversight, interpretation, and strategic decision-making. These roles involve complex analysis, ethical considerations, and specialized skills that are less susceptible to full automation. Continuous learning and proficiency with AI tools can enhance job security in these fields.

How does a Meta Analyst typically collaborate with other teams to ensure accurate and comprehensive data analysis?

Meta Analysts frequently work cross-functionally, partnering with data engineers, subject matter experts, and business stakeholders to gather diverse datasets and validate findings. Regular communication is key—they often participate in meetings to clarify objectives, request data access, and present analytical insights. This collaborative workflow ensures analyses are both accurate and aligned with organizational goals, while also enabling the Meta Analyst to stay informed about evolving data needs and business priorities.
What cities in Ohio are hiring for Meta Analyst jobs? Cities in Ohio with the most Meta Analyst job openings:
Infographic showing various Meta Analyst job openings in Ohio as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 6% Hybrid, and 8% Remote job distribution.
Data Center Capacity Engineer

Data Center Capacity Engineer

Meta

Bowling Green, OH

$111K/yr

Full-time

Posted 14 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 245 rated software companies


Job description

Meta is seeking a Data Center Capacity Engineer to help ensure our global data center infrastructure can meet the demands of billions of users across Meta's family of apps and services. In this role, you will analyze server and infrastructure capacity trends, model future demand, and partner with hardware, network, and site operations teams to plan and deliver capacity at scale. Your work will directly influence how Meta provisions, allocates, and optimizes compute, storage, and network resources across its data center fleet, enabling reliable and efficient operation of the platforms that connect people worldwide.The Capacity Team at Meta is responsible for managing the growth and lifecycle of computing resources and data center capacity at Meta, as part of a global production footprint. The Data Center Capacity Engineer is responsible for planning and delivering the end-to-end server and hardware capacity requirements in a hyperscale data center campus. Collectively and globally, these roles plan and build one of the largest Internet services in the world with tens of billions of user requests, tens of exabytes of data, thousands of gigabits per second of network traffic, while maintaining operational and resource allocation efficiency. The Capacity Engineer will drive planning, ownership, and delivery of capacity within our data center locations. Demonstrated project management experience, including planning, tracking, and delivering complex infrastructure projects, and infrastructure engineering knowledge are required as this role manages complex infrastructure projects within the data center, often in parallel; including capacity planning, receiving, moving, and decommissioning.The candidate should be able to adapt to shifting priorities and manage concurrent workstreams in a dynamic operational environment. The successful candidate will be able to work independently and also within groups. This role will interact closely with many cross-functional partners, including capacity and performance engineers, data scientists, optimization and process engineers, capacity planners, supply chain, logistics, finance, data center construction, facility operations, security, network engineering, network operations, hardware engineering, software engineering, and systems & tooling engineering.
Data Center Capacity Engineer Responsibilities:
  • Own accountability for the three capacity workflows (receiving, moves, decommissioning), facilitating collaboration among various cross-functional partners to meet capacity demands
  • Collaborate with key stakeholders and partners to develop a strategy and drive initiatives that lead to meaningful improvements in support of data center operations. Maintain consistent touchpoints with key XFN partners across data centers
  • Analyze business capacity demands and translate that data into local plans to enable rapid delivery of capacity to the data center
  • Plan, lead and collaborate with cross-functional data center teams to deliver complex data center infrastructure capacity projects in support of Meta’s growth, considering the interdependencies of production resiliency, power, cooling, network, server and application layers
  • Build cross-functional relationships and have the ability to influence policies and procedures to improve regional/global data center operations
  • Develop and share best practices across all global data centers for all elements of capacity while creating a culture of innovation, collaboration, accountability, continuous improvement, and safety
  • Drive alignment and execution of key capacity strategic, engineering, and operational initiatives across functional partners at the data center. Ensure operational consistency, to scale operations efficiently and effectively
  • Lead data analytics, metrics, and the interpretation of a complex environment to identify inefficiencies, opportunities, exceptions, and correlations, and proactively respond before they impact data center uptime and utilization. Perform root cause analysis of complex technical and engineering issues and drive resolution
  • Create/improve global standards for processes, workflows, and automation roadmaps for software automation that facilitate deployment, maintenance, and decommissioning of server hardware at scale
  • Work with Meta hardware and software engineering teams to help resolve complex technical issues that affect Meta's computing infrastructure
  • Mentor capacity team members both locally and globally. Seek out and provide guidance on challenges others are having and actively fix them in a scalable way
  • Apply deep knowledge of infrastructure (including, but not limited to cooling, power, networking, and automation) as it relates to the capacity role. Be a Subject Matter Expert (SME) in one or more of these areas

Minimum Qualifications:
  • 7+ years of experience in a combination of capacity planning, demand and supply management, production planning, operations planning, or infrastructure management
  • B.S., B.A., or B.Eng. in a relevant field, or equivalent degree or certification
  • Experience with process ownership and development, and systems development
  • Knowledge of enterprise-level networking, servers, and storage installations
  • Demonstrated understanding of data center infrastructure systems and applications
  • Familiarity with data center power and cooling constraints, and their impact on server density and capacity planning decisions
  • Ability to communicate effectively, in a clear and concise manner, appropriately tailoring messages to multiple audiences
  • Demonstrated ability to solve complex problems and to deliver at scale

Preferred Qualifications:
  • Master's degree in an engineering discipline
  • Proficiency in programming and scripting languages such as SQL, R, Python, Bash, or other programming languages
  • Background in developing scenario-based capacity models that account for hardware supply chain variability and workload elasticity
  • Experience with server hardware lifecycle management, including procurement planning, rack integration, and hardware refresh programs in a large-scale data center environment
  • Experience in driving results through AI in a hyperscale environment
  • Experience building automated capacity tracking systems or integrating capacity data across multiple infrastructure domains
  • Experience in the application of data-driven continuous improvement through Lean Six Sigma or other process analysis methodologies, visualization, and modeling
  • Project management and delivery experience through Agile methodology or PMP certification

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.
$111,010/year to $158,995/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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