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Remote Meta Data Analyst Jobs in Philadelphia, PA

Directive

Meta Strategist (Remote US)

Philadelphia, PA · Remote

Ability to analyze campaign performance data using tools like Google Analytics, GA4, Excel, or ... remote-first company, you'll have the ability to work from anywhere in the US, with the option to ...

Idea Evolver

Paid Media Strategist

Philadelphia, PA · Remote

$50K - $75K/yr

Full-time | Remote within approved U.S. states Headquartered in Newtown, Pennsylvania About Idea ... Analyze campaign and website data to explain what is happening, why it is happening, and what to do ...

Idea Evolver

Paid Media Strategist

Philadelphia, PA · On-site +1

$50K - $75K/yr

Full-time | Remote within approved U.S. states Headquartered in Newtown, Pennsylvania About Idea ... Analyze campaign and website data to explain what is happening, why it is happening, and what to do ...

Kepler Group

Senior Analyst, Strategy

Philadelphia, PA · On-site +1

$73K - $85K/yr

... data and technology across all paid digital media and data-driven CRM channels. Kepler prides ... The ideal candidate has the "Media Savvy" to know how Meta and Search function, but the rigor to ...

Kepler Group

Senior Analyst, Strategy

Philadelphia, PA · On-site +1

$73K - $85K/yr

... data and technology across all paid digital media and data-driven CRM channels. Kepler prides ... The ideal candidate has the "Media Savvy" to know how Meta and Search function, but the rigor to ...

Law School Admission Council

Solutions Analyst

Newtown, PA · Remote

$85K - $88K/yr

Pay rate: $85,000 to $88,000, depending on experience - This is a remote position. The Solutions ... Investigate, document, and resolve data, reporting, and analytics issues while managing defects ...

Law School Admission Council

Solutions Analyst

Newtown, PA · On-site +1

$85K - $88K/yr

Investigate, document, and resolve data, reporting, and analytics issues while managing defects ... Whether remote or in-office, this role routinely uses standard office equipment such as computers ...

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All JobsMeta Data Analyst JobsRemote Meta Data Analyst JobsRemote Meta Data Analyst Jobs in Philadelphia, PA

Remote Meta Data Analyst information

See Philadelphia, PA salary details

$34.3K

$83.4K

$137.2K

How much do remote meta data analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote meta data analyst in Philadelphia, PA is $83,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 per year, depending on experience, location, and employer.

How does a remote meta data analyst typically collaborate with other teams while working off-site?

As a Remote Meta Data Analyst, collaboration is primarily achieved through virtual meetings, project management platforms, and shared data repositories. You will frequently interact with data engineers, business analysts, and IT teams to ensure data accuracy, consistency, and usability. Regular check-ins, clear documentation, and proactive communication are essential for aligning on project goals and addressing any issues quickly. While remote, you are expected to be self-motivated and responsive to maintain seamless teamwork across different time zones and departments.

What is a remote meta data analyst?

A Remote Meta Data Analyst is a professional who works from a remote location to organize, manage, and analyze metadata—data that describes other data—within an organization. Their role typically involves ensuring the accuracy, consistency, and accessibility of metadata across digital systems, which helps improve data quality and supports business decision-making. They may work with data governance teams, IT departments, and business analysts to standardize data assets and comply with regulations. Strong analytical skills, attention to detail, and experience with metadata management tools are important for this role.

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

To thrive as a Remote Meta Data Analyst, you need a solid understanding of data management principles, metadata standards, and a relevant degree in information science, computer science, or a related field. Familiarity with metadata management tools (such as Collibra or Alation), SQL, and data cataloging systems is typically required. Strong analytical thinking, attention to detail, and effective remote communication help you excel in this position. These skills ensure accurate data documentation, streamlined data governance, and effective collaboration across distributed teams.

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

AspectRemote Meta Data AnalystRemote Data Analyst
Required CredentialsBachelor's in Data Science, Information Technology, or related field; familiarity with metadata standardsBachelor's in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentRemote, often collaborating with data management teamsRemote, working with data sets and reporting tools
Industry UsageUsed in data management, digital asset management, and metadata catalogingCommon across finance, marketing, healthcare, and more for data insights

The Remote Meta Data Analyst focuses on managing and organizing metadata to ensure data quality and discoverability, while the Remote Data Analyst primarily analyzes data sets to generate insights. Both roles often work remotely and require strong analytical skills, but their core responsibilities differ in focus on metadata versus raw data analysis.

What are popular job titles related to Remote Meta Data Analyst jobs in Philadelphia, PA?

For Remote Meta Data Analyst jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Remote Meta Data Analyst jobs in Philadelphia, PA look for?

The top searched job categories for Remote Meta Data Analyst jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Remote Meta Data Analyst jobs?

Cities near Philadelphia, PA with the most Remote Meta Data Analyst job openings:

Remote Meta Data Analyst jobs near you
Infographic showing various Remote Meta Data Analyst job openings in Philadelphia, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $83,391 per year, or $40.1 per hour.

Senior Director of Data Science (Remote)

Forbes Advisor

Wilmington, DE • On-site, Remote

Full-time

Re-posted 9 days ago

Job description

At Forbes Advisor, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance so they can make informed decisions they feel confident in and get back to doing the things they care about most.
We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Forbes Advisor boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Forbes Advisor's global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.
Our Data & Analytics organisation builds the products, platforms and intelligence that power every marketing, product and commercial decision across the business. We're looking for a Data Science leader who believes machine learning only creates value when it changes business decisions.
This is an opportunity to build and lead a commercially driven Data Science function that delivers measurable improvements in customer acquisition, marketing performance and long-term business growth.
You'll lead a growing team of Data Scientists while partnering closely with Engineering, Analytics, Product and Commercial teams to ensure predictive models become trusted, production-ready products that drive measurable commercial outcomes. As we continue investing in first-party data, AI, machine learning and advanced marketing measurement, we're looking for an experienced Data Science leader to help shape the next phase of our commercial Data Science capability.
Responsibilties:
  • Commercial Data Science: Lead the strategy and delivery of predictive models that improve customer acquisition, marketing performance and long-term commercial value. You'll shape capabilities including lifetime value modelling, propensity modelling, customer segmentation, forecasting and value-based bidding, ensuring every model is linked to measurable business outcomes.
  • Marketing Science & Decision Science: Partner with Marketing, Product and Commercial teams to apply Data Science to real business problems. You'll help define how predictive analytics, experimentation and AI improve campaign performance, customer understanding and strategic decision making across platforms including Google and Meta.
  • Production Data Science: Work closely with Engineering and ML Ops to ensure models become reliable, production-ready products rather than one-off analyses. You'll champion reproducible experimentation, scalable deployment, model monitoring, retraining strategies and continuous improvement throughout the model lifecycle.
  • Leadership & Stakeholder Management: Lead and develop a growing team of Data Scientists while building trusted relationships across the business. You'll translate complex modelling into clear commercial recommendations, influence senior stakeholders through evidence, and help establish Data Science as a trusted driver of business strategy and commercial growth.
  • Innovation & Industry Leadership: Represent Forbes in strategic conversations with technology partners including Google and Meta while staying connected to advances in AI, machine learning and marketing science. You'll evaluate emerging technologies, bring new ideas into the organisation and help ensure our Data Science capability remains commercially relevant and technically leading.

Qualifications:
  • Experience leading commercial Data Science, Marketing Science or Decision Science teams.
  • Strong expertise in predictive analytics, customer analytics, machine learning and statistical modelling.
  • Experience applying Data Science to marketing performance, customer acquisition, lifetime value or value-based bidding.
  • Experience productionising machine learning solutions within modern cloud environments and working closely with Engineering and ML Ops teams.
  • Strong understanding of SQL, Python and modern machine learning frameworks.
  • Experience working with Google Ads, Meta or other major advertising platforms.
  • Excellent stakeholder management and communication skills, with the ability to influence both technical and commercial audiences.
  • Experience building and developing high-performing Data Science teams.
  • Strong commercial judgement, balancing technical excellence with measurable business impact.
  • A pragmatic approach to AI, applying emerging technologies where they create genuine commercial value.

Nice to Have
  • Experience within affiliate marketing, digital publishing or lead-generation businesses.
  • Experience working in financial services, insurance or regulated industries.
  • Experience working directly with Google or Meta Data Science teams.
  • Experience with attribution modelling and marketing measurement.
  • Experience building optimisation algorithms for DSPs or advertising platforms.
  • Experience with causal inference, experimentation frameworks or incrementality testing.
  • Experience forecasting marketing or commercial performance.
  • Experience with Vertex AI or equivalent cloud-based machine learning platforms.

Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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