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Media Data Analyst Jobs (NOW HIRING)

Globe Telecom, Inc.

Data Analytics Lead

Globe, AZ · Remote

Media Reporting: * Create comprehensive media reports that analyze coverage, sentiment, and engagement metrics across various channels. Develop dashboards and visualizations to present media data in ...

Versant Media

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

VSNT) is an industry-changing media and entertainment business and home to trusted brands that ... This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (AIMS), part of the ...

NOVUS

Senior Analyst, Analytics

Chicago, IL · On-site

$90K - $120K/yr

We're looking for a Senior Analyst who can own the reporting layer for a set of client accounts ... Understand the measurement nuances of paid media data - attribution windows, modeled vs. observed ...

Sellers & Associates

Media Analyst

Arlington, VA · On-site

Use qualitative and quantitative data collection methods in gathering the necessary information to ... Brainstorm analysis report topics, media/public engagement opportunities, and messaging ideas ...

Palnar

Data Analytics

Reston, VA · On-site

... MapReduce, social media, data visualization, XML, and unstructured text is a plus. The ... Data Analyst teams to develop and implement the Ab Initio solution - Develop generic solutions ...

AHU Technologies, Inc.

Data Analyst

Washington, DC · On-site

$61 - $68/hr

The role of the Data Analyst is to provide data analysis support for the Office of the Chief ... May use Internet, Intranet, magazines, periodicals, journals, and other media to perform research ...

MMGY Global

Senior Data Analyst

Overland Park, KS

$85K - $107K/yr

Our personalized service and strategy connect media, consumers and influencers across the globe ... As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ...

Inizio Evoke

Data Analyst

Chicago, IL

... media investment optimization • Diminishing return / response curve modeling for investment ... analytics, statistical modeling, data strategy, marketing analytics, healthcare analytics ...

MMGY Global

Senior Data Analyst

Overland Park, KS

$85K - $107K/yr

Our personalized service and strategy connect media, consumers and influencers across the globe ... As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ...

MMGY Global

Senior Data Analyst

Overland Park, KS · On-site +1

$85K - $107K/yr

Our personalized service and strategy connect media, consumers and influencers across the globe ... As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ...

WebMD

Data Analyst

Newark, NJ · On-site

Through its diversified, multi-media portfolio of marketing services, information databases ... WebMD/MD Alert is currently seeking a Client Data Analyst responsible for understanding data ...

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Media Data Analyst information

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$34K

$82.6K

$136K

How much do media data analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for media 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.

What does a media data analyst do?

A Media Data Analyst collects, interprets, and analyzes data related to media performance, audience engagement, and marketing campaigns. They use tools like Google Analytics, social media insights, and data visualization platforms to identify trends and optimize content strategies. Their insights help businesses improve audience targeting, increase engagement, and maximize ROI on media investments. They often collaborate with marketing, content, and data science teams to ensure data-driven decisions.

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

To thrive as a Media Data Analyst, you need strong analytical abilities, statistical knowledge, and experience with data analysis backed by a relevant degree such as in statistics, marketing, or communications. Familiarity with analytics platforms (such as Google Analytics or Adobe Analytics), data visualization tools (like Tableau or Power BI), and possibly certifications in digital marketing or data analytics is commonly required. Attention to detail, curiosity, and effective communication skills help you interpret data insights and present findings to both technical and non-technical stakeholders. These competencies are crucial for turning complex media data into actionable insights that drive successful campaigns and business decisions.

What is a media data analyst?

A media data analyst is a professional who collects, analyzes, and interprets data related to media campaigns, audience engagement, and advertising performance. They use tools like Excel, SQL, and data visualization software to inform media strategies and optimize marketing efforts.
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Media Data Analyst jobs near you
Infographic showing various Media Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior Data Scientist - Media Data Science & Analytics

Microsoft Corporation

Redmond, WA • On-site

Other

Posted 4 days ago

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

79th of 245 rated software companies

Job description

Overview
We're building a Frontier Marketing organization where the Media Data Science & Analytics team leads the way in transforming how Microsoft measures, analyzes, and optimizes media investments. Our team blends advanced analytics, experimentation, and AI-powered insights to drive smarter decision-making and measurable business outcomes across paid media and owned digital properties.
We operate with agility, prioritize outcomes over activity, and embrace rapid learning loops to unlock deeper audience understanding, maximize campaign impact, and accelerate innovation in media strategy.
To support this transformation, we are seeking a Senior Data Scientist to help us measure the incremental impact of advertising spend and use that to help our media planning partners optimize media campaigns.
Marketing data science is inherently challenging: data is often observational, incomplete, biased, or limited in scale, and outcomes unfold over time across complex systems. The successful candidate will be someone who can apply rigorous causal methods, exercise sound statistical judgment, and translate uncertainty into actionable insights that inform high-stakes investment decisions.
Responsibilities
Causal Measurement & Business Impact
  • Design and apply causal inference approaches (e.g., quasi-experimental methods, incrementality testing, observational analysis) to estimate the true impact of media investments in settings where randomized experiments may be limited or infeasible.
  • Evaluate the effectiveness of marketing strategies while explicitly accounting for data limitations, confounding, selection bias, and uncertainty.
  • Translate complex causal findings into clear, decision-oriented narratives for senior marketing and business stakeholders.

Modeling, Statistics & Analysis
  • Apply advanced statistical techniques and machine learning where appropriate, with a bias toward interpretability and causal validity over purely predictive performance.
  • Balance methodological rigor with pragmatism, selecting approaches that are fit for purpose given the data and business context.
  • Write high-quality analytical code (Python, SQL) to support reproducible research, exploratory analysis, and ongoing measurement efforts.
  • Identify opportunities to improve measurement approaches, challenge existing assumptions, and introduce best practices grounded in both academic research and industry experience.

Data Understanding & Stewardship
  • Prepare, validate, and analyze complex marketing datasets, identifying data quality issues, structural changes, and limitations that materially affect inference.
  • Communicate data risks, constraints, and implications proactively to senior partners, ensuring conclusions are appropriately scoped and caveated.
  • Uphold high standards for data ethics, privacy, and responsible use, with careful attention to how data is collected, modeled, and interpreted.

What Success Looks Like
  • Media investment decisions are better informed by clear, credible causal insights rather than surface-level correlations.
  • Stakeholders understand not only what the data suggests, but how confident we are and why.
  • Analytical recommendations appropriately reflect data constraints and uncertainty, earning trust through transparency and rigor.
  • The team consistently applies causal thinking to difficult, ambiguous marketing problems, even when the data is imperfect.

Qualifications
Required/Minimum Qualifications
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

Preferred Qualifications
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 6+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
  • 5+ years' experience building ML models.
  • 5+ years' experience writing SQL to analyze data.
  • 5+ years' experience writing code in Python.
  • 3+ years' communicating complex technical concepts to non-technical partner teams.
  • 1+ years' experience performing causal inference
  • 1+ years' experience with media / marketing data science

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
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This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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