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Meta Data Analyst Jobs (NOW HIRING)

Thunkable

Sr. Data Analyst

$88K - $111K/yr

Google Ads, Meta ads, Payment systems, Amplitude, etc.) • Document data architecture, key components, and data flows to ensure clarity • Collaborate across teams to query and analyze data from ...

Meta

Manager, Data Center Investment and Partnerships

$170K/yr

Meta designs, builds, leases, and operates the most efficient data centers in the world. Meta is ... Lead detailed financial modeling, valuation, and sensitivity analysis of potential investments and ...

Meta

Systems Integration Engineer

Menlo Park, CA

$173K/yr

Lead architecture reviews with hardware engineering teams to analyze and develop diagnostic ... Partner with cross functional partners in Meta's Data Center Operations team to understand ...

Thunkable

Sr. Data Analyst

San Francisco, CA · On-site

$90K - $130K/yr

Google Ads, Meta ads, Payment systems, Amplitude, etc.) - Document data architecture, key components, and data flows to ensure clarity. - Collaborate across teams to query and analyze data from ...

Meta

Systems Integration Engineer

Austin, TX

$173K/yr

Lead architecture reviews with hardware engineering teams to analyze and develop diagnostic ... Partner with cross functional partners in Meta's Data Center Operations team to understand ...

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Meta Data Analyst information

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$34K

$82.6K

$136K

How much do meta data analyst jobs pay per year?

As of Jul 23, 2026, the average yearly pay for 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.

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.

More about Meta Data Analyst jobs
What cities are hiring for Meta Data Analyst jobs? Cities with the most 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:
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Meta Data Analyst jobs near you
Infographic showing various Meta Data Analyst job openings in the United States as of July 2026, with employment types broken down into 65% Full Time, 4% Part Time, and 31% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Sr. Data Analyst

Sr. Data Analyst

Thunkable

Remote

$88K - $111K/yr

Full-time

Posted 13 days ago

Job description

Job Summary:
Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team who can bridge analytics and data foundations. In this role, you’ll analyze data to generate insights and help connect and organize data from multiple sources to improve decision-making across the business.
Responsibilities:
• Collaborate with engineers to add, validate and maintain event tracking within React-based interfaces
• Improve data reliability by identifying and troubleshooting tracking issues that impact data integrity
• Partner with cross-functional teams to collect and shape business requirements into scalable data architecture and process improvements that enable cross-team integration, automation and efficient data flow. (eg. Google Ads, Meta ads, Payment systems, Amplitude, etc.)
• Document data architecture, key components, and data flows to ensure clarity
• Collaborate across teams to query and analyze data from Amplitude and other SQL/NoSQL systems within our current data ecosystem
• Conduct product and marketing analyses (such as funnels, cohort analyses, and user segmentation) to uncover actionable insights
• Develop and monitor key metrics, including setting up automated dashboards and recurring reports
• Lead data initiatives and experimentation, defining measurement approaches and evaluating success
Qualifications:
Required:
• BA/BS degree or above in a related field or equivalent experience required
• 3+ years of work experience in data science, data analytics or other quantitative roles, with a track record of successfully delivering data analytics projects
• Experience with building and maintaining data pipelines and integrations across multiple systems (eg. Amplitude, Google Ads, Meta Ads, payment processors, CRM tools)
• Experience with event tracking instrumentation and collaborating with engineering teams to validate and maintain analytics implementations
• Experience with handling real-time and historical data from the ground up, including data cleaning, data processing, analyzing, modeling, insights delivery and execution strategy
• Experience in data queries and statistical programming tools (SQL, R, Python, etc.)
• Experience with product and marketing analytics and digital optimization tools (Amplitude, Google Analytics, etc.)
• You have strong analytical and problem-solving skills, with a keen attention to detail
• You are a good communicator and can explain complex analyses using visualization and storytelling to both technical and non-technical audiences
• You are a self-starter who thrives in a start-up environment and has a strong follow-through
Preferred:
• Experience with improving data pipelines, data storage and analytical frameworks
• Event tracking (eg. Javascript, Google tag manager)
• Javascript and React
Company:
Thunkable makes a drag-and-drop programming tool to allow anyone to make beautiful, native mobile apps. Founded in 2015, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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