Marketing Data Scientist/Analyst

Last Updated:
July 20, 2023

Job Description Overview

A Marketing Data Scientist/Analyst job description is all about gathering, interpreting and analyzing data to gain insights into the performance of marketing strategies. The role involves using statistical models, data mining tools and other techniques, to identify patterns and trends in large data sets. These insights are then used to help businesses make better marketing decisions that generate more revenue and drive growth.

In this role, the Marketing Data Scientist/Analyst will be responsible for developing and executing marketing campaigns, conducting market research, and creating reports that help advertisers understand their target audience. They will also be expected to work with stakeholders across the organization to gather requirements, design and implement analytical solutions, and communicate findings effectively to key decision makers.

The ideal candidate for a Marketing Data Scientist/Analyst job will have a background in statistics, mathematics or computer science. They should be comfortable working with large data sets and have strong quantitative skills. In addition, they should be able to work well in a team and have excellent communication skills that enable them to translate complex data insights into actionable information that can be used by stakeholders.

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Job Duties and Responsibilities

  • Conducts data analysis to identify trends, patterns, and insights that inform marketing decisions
  • Develops predictive models to forecast consumer behavior and market trends
  • Investigates and analyzes complex datasets to identify opportunities and risks
  • Collaborates with marketing teams to determine data needs and develop actionable insights
  • Communicates data findings and recommendations to non-technical stakeholders
  • Ensures data accuracy and validity by designing and implementing data cleansing processes
  • Builds and maintains dashboards and visualizations for marketing performance monitoring and reporting
  • Utilizes statistical techniques and machine learning algorithms to optimize marketing strategies
  • Conducts A/B testing and experiments to optimize marketing campaigns and messaging.

Experience and Education Requirements

To become a Marketing Data Scientist/Analyst, you need to have a mix of education and experience. A bachelor's degree in a field like Statistics, Mathematics, Computer Science or Marketing is usually required. But, some companies may prefer an advanced degree like a Master's or a PhD. Also, having hands-on experience with SQL or programming languages like Python, R or SAS can be a big plus.

Besides formal education, you need to have skills like data manipulation, data analysis, statistical modeling, and data visualization. Companies want a Data Scientist who can extract insights from data and make recommendations. In the marketing industry, you should also have knowledge of marketing concepts and metrics, and an ability to create effective presentations for non-technical audiences.

Overall, a combination of education, technical skills, and relevant experience can help you land a role as a Marketing Data Scientist/Analyst in the industry.

Salary Range

A Marketing Data Scientist/Analyst is a role that combines marketing knowledge with analytical skills. This position is in demand in the United States, with an expected salary range of $85,000 to $125,000 per year. The salary range can vary based on years of experience, industry, and location. For example, a Marketing Data Scientist/Analyst in San Francisco can earn an average salary range of $109,943 to $156,434, while in New York, the range is $84,040 to $120,048. For those in other countries, a Marketing Data Scientist/Analyst in the United Kingdom can earn between £35,000 to £75,000, and in Australia, the expected salary range is between AU$70,000 to AU$123,000.


  1. Glassdoor 
  2. Payscale 
  3. Hays Recruitment Agencies

Career Outlook

Becoming a marketing data scientist/analyst is a wise career move over the next five years. According to Glassdoor, the average salary for individuals in this field is $77,400 annually. Moreover, the number of job openings is expected to grow in the next few years. Companies are becoming more data-driven and want to make informed decisions that will benefit them in the long run. Hence, marketing data scientists/analysts play a crucial role in helping organizations make data-driven decisions by gathering and analyzing data. The Bureau of Labor Statistics expects that the demand for operations research analysts (of which marketing data scientists/analysts are a part) will grow by 25% from 2019 to 2029. Therefore, an individual in the marketing industry who has data analysis skills will be highly sought after in the next few years.

Frequently Asked Questions (FAQ)

Q: What exactly does a Marketing Data Scientist/Analyst do?

A: A Marketing Data Scientist/Analyst is responsible for collecting, analyzing, and interpreting data to help companies make informed decisions about their marketing strategies.

Q: What kind of data does a Marketing Data Scientist/Analyst work with?

A: Marketing Data Scientist/Analysts work with a variety of data, such as consumer behavior data, web analytics data, social media data, and demographic data.

Q: What skills does a Marketing Data Scientist/Analyst need?

A: A Marketing Data Scientist/Analyst needs to have strong analytical, problem-solving, and communication skills. They also need to be proficient in data analysis tools and programming languages such as SQL, Python, and R.

Q: What kind of companies hire Marketing Data Scientist/Analysts?

A: Many different kinds of companies in a variety of industries hire Marketing Data Scientist/Analysts, including retail, e-commerce, healthcare, and financial services.

Q: What kind of job opportunities are available for Marketing Data Scientist/Analysts?

A: There are many job opportunities for Marketing Data Scientist/Analysts, including roles such as Data Analyst, Marketing Analyst, Business Intelligence Analyst, and Data Scientist.

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