1

Marketing Science Analyst Jobs (NOW HIRING)

Marketing Science associates are skilled in advanced analytics and analytical tools and languages such as GCP BigQuery, Python, R, SQL, Jupyter Notebook, Adobe Analytics, and Tableau. They possess ...

As the VP, Marketing Science & Analytics you will lead and manage a team of 10 to drive business growth through data. The role includes broad responsibility for centralizing customer segmentation ...

As the VP, Marketing Science & Analytics you will lead and manage a team of 10 to drive business growth through data. The role includes broad responsibility for centralizing customer segmentation ...

As the VP, Marketing Science & Analytics you will lead and manage a team of 10 to drive business growth through data. The role includes broad responsibility for centralizing customer segmentation ...

Lead the Marketing Science function, managing MLS full-time employees, offshore resources, and ... Serve as a senior analytical partner to League and Club Marketing stakeholders, translating ...

Decision Science Analyst The Decision Science Analyst will architect the analytical foundation of ... This role will provide ongoing support and performance visibility across Marketing, Loyalty, CRM, ...

Showing results 21-40

Marketing Science Analyst information

See salary details

$18

$37

$62

How much do marketing science analyst jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for marketing science analyst in the United States is $37.30, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $43.99 per hour, depending on experience, location, and employer.

What is a marketing science analyst?

A Marketing Science Analyst is a professional who uses data analysis, statistics, and modeling techniques to help organizations understand their marketing performance and make data-driven decisions. They analyze customer behavior, campaign effectiveness, and market trends to provide actionable insights for optimizing marketing strategies. Their work often involves handling large datasets, using tools like SQL, Python, or R, and collaborating with marketing teams to improve ROI. By translating complex data into clear recommendations, they play a critical role in shaping successful marketing initiatives.

How does a marketing science analyst typically collaborate with marketing and data teams?

Marketing Science Analysts work closely with both marketing strategists and data specialists to bridge the gap between raw data and actionable marketing insights. They often participate in cross-functional meetings, translating complex analytical findings into clear recommendations that marketers can use to optimize campaigns. Regular collaboration involves sharing reports, providing guidance on experiment design, and ensuring that data-driven decisions align with business goals. This teamwork fosters an environment where analytical perspectives enhance creative strategies, leading to more effective and measurable marketing outcomes.

What are the key skills and qualifications needed to thrive as a marketing science analyst, and why are they important?

To thrive as a Marketing Science Analyst, you need a solid background in statistics, data analysis, and marketing principles, often supported by a degree in a quantitative field like statistics, economics, or marketing analytics. Proficiency with analytical tools and programming languages such as SQL, Python, R, and data visualization platforms like Tableau is typically required. Strong problem-solving abilities, communication skills, and attention to detail help you translate complex data insights into actionable marketing strategies. These skills and qualities are crucial for driving data-informed decision-making and maximizing marketing effectiveness.
More about Marketing Science Analyst jobs

What cities are hiring for Marketing Science Analyst jobs?

Cities with the most Marketing Science Analyst job openings:

What are popular job titles related to Marketing Science Analyst jobs?

For Marketing Science Analyst jobs, the most frequently searched job titles are:

Infographic showing various Marketing Science Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 89% Full Time, 9% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $77,589 per year, or $37.3 per hour.

Marketing Science Strategic Analyst, Marketing Science and Technology

New York, NY • On-site, Remote

LinkedIn
Software Development • 10K+ employees

Full-time

Re-posted 16 days ago


Key responsibilities

  • Partner with Sales to translate data-driven insights and measurement into actionable strategies that improve business performance for clients and agency partners

  • Design and lead advanced measurement initiatives such as experimentation, incrementality, attribution, and clean rooms to optimize marketing performance

  • Apply SQL, Python, and visualization tools to analyze LinkedIn and third-party data at scale


LinkedIn rating

9.3

Company rating: 9.3 out of 10

Based on 17 frontline employees who took The Breakroom Quiz


Job description

Company Description

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.

Join us to transform the way the world works.

Job Description

This position can be performed in New York City, Chicago, or San Francisco depending upon which location the applicant chosen for the role is currentlyresiding. 

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.  

At LinkedIn we believe that marketing is what accelerates business growth and that nearly all the levers of business growth are driven by marketing. Because of this, we are passionate about helping marketers unlock growth for their companies and seeing them thrive. We work with our customers to empower them to make more effective marketing and business decisions with insights leveraging one of the richest proprietary data sets in the world.   

Join us in advancing our vision to create economic opportunity for every member of the global workforce by helping organizations thrive and grow through marketing excellence.  The LinkedIn Marketing Solutions (LMS) Marketing Science and Technology team is seeking a dynamic, visionary Strategic Analyst with a strong technical background and proven expertise in insights, marketing analytics and measurement innovations to join our global team of marketing measurement and insights experts. This team is responsible for developing and scaling leading-edge marketing measurement and insights solutions to support our LMS sales teams with deepening strategic relationships with our customers and driving commercial outcomes powered by the experiences of LinkedIn's 1B+ members spanning over 200 countries and territories.   

As a Strategic Analyst, you'll be at the forefront of providing data driven insight and driving measurement excellence for our clients and agency partners. Partnering across sales, product, and marketing, you will lead the adoption of advanced analytics and measurement strategies, harnessing industry-leading data to unlock actionable insights and maximize advertising impact across digital platforms. 

Responsibilities: 

  • Client Leadership: Partner closely with Sales to translate data-driven insights and measurement into actionable strategies that improve business performance for our clients and agency partners 
  • Insights & Influence: Synthesize complex data into clear, actionable recommendations for senior technical and non-technical stakeholders 
  • Measurement Strategy & Execution: Design and lead advanced measurement initiatives (experimentation, incrementality, attribution, clean rooms) to optimize marketing performance 
  • Advanced Analytics: Apply SQL, Python, and visualization to analyze LinkedIn and third-party data at scale 
  • Innovation & Product Influence: Advise cross-functional partners to identify innovation opportunities including, but not limited to new product features, measurement capabilities, and go-to-market strategies. 
  • Thought Leadership: Drive POV on the future of B2B measurement and represent the company externally 
  • Project Delivery: Lead end-to-end delivery of complex, custom projects 
  • Data Governance: Uphold best practices in data privacy, security, and coding standards 
Qualifications

Basic Qualifications 

  • 8+ years' experience in analytics, marketing science, measurement, or consulting, with direct client-facing leadership. 
  • 5+ years' experience using SQL or similar querying language 
  • 5+ years' experience in a consultative or advisory role     
  • 3+ years' experience in project or program management   
  • Bachelor's degree in quantitative field (e.g., Statistics, Data Science, Economics, Engineering, Mathematics or related analytic field). 

Preferred Qualifications 

  • 10+ years analytics, marketing science, measurement, or consulting, with direct client-facing leadership. 
  • 6+ years' experience using SQL or similar querying language     
  • 6+ years' experience in a consultative or advisory role     
  • 4+ years' experience in project or program management    
  • Experience in digital marketing and AdTech ecosystems, including agency landscape 
  • Demonstrated expertise in measurement methodologies (e.g. incrementality, attribution, MMM, experimentation, CAPI) 
  • Experience working with large-scale datasets and advanced analytics tools 
  • Experience applying AI / LLM techniques in analytics workflows 

Suggested Skills 

  • Digital and Performance Marketing  
  • Stakeholder Management 
  • SQL/Python 
  • Consulting  

LinkedIn is committed to fair and equitable compensation practices.  

The pay range for this role is $126,000 to $204,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. 

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visithttps://careers.linkedin.com/benefits. 

Additional Information

Equal Opportunity Statement 

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation.
Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

  • Documents in alternate formats or read aloud to you
  • Having interviews in an accessible location
  • Being accompanied by a service dog
  • Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice and Compliance Posters for Job Candidates 

Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.


What LinkedIn employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom