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Marketing data analyst skills for your resume and career

Updated January 8, 2025
5 min read
Quoted experts
Dr. Kyle Heim Ph.D.,
Charles Gamble
Below we've compiled a list of the most critical marketing data analyst skills. We ranked the top skills for marketing data analysts based on the percentage of resumes they appeared on. For example, 10.5% of marketing data analyst resumes contained digital marketing as a skill. Continue reading to find out what skills a marketing data analyst needs to be successful in the workplace.

15 marketing data analyst skills for your resume and career

1. Digital Marketing

Here's how marketing data analysts use digital marketing:
  • Spearheaded digital marketing campaign for an early-stage e-commerce company to accelerate customer acquisition and drive user engagement.
  • Created cross-channel attribution model to measure digital marketing impact.

2. Power Bi

Here's how marketing data analysts use power bi:
  • Created multiple data visualization solution for initial Power BI business preview.
  • Developed Reporting solutions using Power BI.

3. Data Analysis

Here's how marketing data analysts use data analysis:
  • Managed all data analysis for the Marketing and Sales department of a specialized refractory company.
  • Designed and managed data analysis and research projects.

4. Visualization

Here's how marketing data analysts use visualization:
  • Gained exposure to data visualization tools like Tableau.
  • Perform descriptive analysis, data visualization and statistical significance analysis for global student surveys * Write and present reports on analyses results

5. Python

Python is a widely-known programming language. It is an object-oriented and all-purpose, coding language that can be used for software development as well as web development.

Here's how marketing data analysts use python:
  • Designed a model in Python and SQL to group similar products based on online customer performance data for product recommendation system.
  • Used Python for FTP file downloads, file extraction and concatenation, data cleansing, and data export.

6. Google Analytics

Here's how marketing data analysts use google analytics:
  • Analyzed customer data and prepared custom dashboards using Google Analytics.
  • Utilized Google Analytics and other platforms to gather and analyze website data and conversion rate and analyzing the marketing campaign performance.

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7. Marketing Analytics

Here's how marketing data analysts use marketing analytics:
  • Managed marketing analytics projects by prioritizing tasks and providing detailed instructions for implementation teams.
  • Supported introduction of quantitative modeling tools and techniques to drive improved marketing analytics.

8. Data Analytics

Here's how marketing data analysts use data analytics:
  • Provide end-to-end data analytics works to improve user acquisition strategy and explain sales evolution, customer behaviors and products performance.
  • Review and interpret campaigns analytics reports provided by the Chief Data Analytics Team and utilize the data in fine-tuning future campaigns.

9. Marketing Campaigns

Here's how marketing data analysts use marketing campaigns:
  • Segmented and defined customer profiles to direct key marketing campaigns such as customer retention CRM mailings or customer acquisition promotions.
  • Developed 2+ brand-based predictive models to forecast performance of drug conversions through e-mail marketing campaigns.

10. PowerPoint

Here's how marketing data analysts use powerpoint:
  • Create SAP Queries when needed and PowerPoint graphic presentations as well as creating Pivot Charts.
  • Provided Excel spreadsheets and PowerPoint decks to support client relationships in the London office.

11. B Testing

Here's how marketing data analysts use b testing:
  • Assist in multiple projects regarding dynamic conversion pages, A/B testing, system migration and custom campaigns for large clients.
  • Increased CTR of email campaigns by 25% in two months using A/B testing and segmentation/targeting.

12. CRM

CRM stands for Customer relationship management and it is a complete process through which a business or organization monitors and administers its interactions with the customers. A process in which large amounts of data are collected through marketing via a company's website, polls, surveys, and other social media applications. The basic goal of CRM is to target the right audience for their product, and then fulfill their needs, to increase the sales and revenue of the company.

Here's how marketing data analysts use crm:
  • Organized over one hundred thousand leads to useful contacts using Microsoft Dynamics (CRM).
  • Received the BRAVO award for extensive testing of the data integrity of newly implemented CRM software

13. Business Intelligence

Here's how marketing data analysts use business intelligence:
  • Provided actionable business intelligence and e-commerce web-marketing analysis including: Customer profiling, segmentation, LTV analysis and campaign tracking.
  • Collaborated with interdepartmental members to collect data by using Business Intelligence and offered next-step recommendations to senior level managers.

14. Salesforce

Salesforce is an American cloud-based software company based in San Francisco, California. This company provides customer relationship management services that enable the customers to be closer to the company. It gives the company detailed information about each customer, including marketing, sales, commerce, and services. Salesforce also helps market a product to attract more buyers, and helps win more customers by targeting the right audience.

Here's how marketing data analysts use salesforce:
  • Produced reports and dashboards from Salesforce database for company executives.
  • Led Salesforce customization & data maintenance with DemandTools.

15. KPIs

Here's how marketing data analysts use kpis:
  • Led strategy sessions to define conversion points and KPIs as well as process for developing and monitoring against benchmarks.
  • Monitored and analyzed KPIs for all marketing efforts for various platform channels.
top-skills

What skills help Marketing Data Analysts find jobs?

Tell us what job you are looking for, we’ll show you what skills employers want.

What skills stand out on marketing data analyst resumes?

Dr. Kyle Heim Ph.D.Dr. Kyle Heim Ph.D. LinkedIn profile

Assistant Professor, Graduate Program Coordinator, Shippensburg University

Strong writing and editing skills are a must. Typos or grammatical errors are always a red flag on a resume, but they are deadly in the communication field. The summary should demonstrate that the individual has significant hands-on experience. A graduating senior who never got involved in the student newspaper or the student radio station, or who never completed an internship, will be at a disadvantage. The resume also should show that the applicant is comfortable working on multiple media platforms. Audio and video skills, or experience in podcasting, social media, or web design can make a resume stand out.

What soft skills should all marketing data analysts possess?

Charles Gamble

Adjunct Professor, Southern Connecticut State University

Be a good communicator (internally and externally). Marketing is all about effective communication. Most of the roles in marketing are basically managing the various channels through which the communications are disseminated (Events, PR, Paid Search, Web, Social Media, etc.). If you can communicate effectively, you will be a strong asset to the team, and your skills will be easily transferable to multiple roles within the marketing organization. This will provide you security in your current role and a path for career advancement. Three things help to make you a more effective marketing communicator:
-Empathy - Have deep empathy for your prospective customer and the challenges that they are facing. Understand their industry, language, motivation, what their day is like, why they do what they do, who their customers are, etc.
-Product Knowledge - Have a deep understanding of the product or service that you are marketing. Understanding how the functionality of a product or a solution can solve a prospective customers pain point
-Macro Mindset - Think about how content layers together to create a hierarchy or matrix. Understanding how a content theme can be expanded or contracted can help you see the "big picture" and offer more granular detail on a particular topic.

What hard/technical skills are most important for marketing data analysts?

Stacia Wert-Gray Ph.D.

Professor of Marketing, Chairperson, University of Central Oklahoma

Data analysis is important. Understanding metrics adds value to your employer as you are able to design attractive marketing campaigns

What marketing data analyst skills would you recommend for someone trying to advance their career?

A.J. ArreguinA.J. Arreguin LinkedIn profile

Professor, Our Lady of the Lake University

The best thing for a student/graduate to do, if they're taking a gap year, would be to continue to enhance their skills in social media, marketing, and public relation writing by implementing practices to show progression in communicative methods when marketing a product/service/event or get a positive response/feedback to a well-organized campaign.

Students should volunteer with small/local businesses or create their brand (start a blog or become a niche social media influencer) to practice and build on their experience. Once the student/graduate does that, they should keep a weekly log with analytics to help them understand how to improve moving forward. This will be beneficial when applying for a communication/public relations job during an interview. The degree gets the student/graduate the talk, but the experience lands them the job.

What type of skills will young marketing data analysts need?

Anne Balazs Ph.D.Anne Balazs Ph.D. LinkedIn profile

Dean of College of Business, University of Toledo

As always, new graduates will need to remain in "learning mode" and be adaptable to the workplace. Their business school education prepares them with a skill set and a mindset for problem-solving that they will use throughout their career. So the ability to pick up new software and technology (like we all have recently with online platforms) is one necessary skill. The ability to communicate interpersonally and effectively remains a valuable skill. Further, the ability to communicate complex arguments and/or quantitative data takes time and practice to develop. An especially valuable skill is being able to recognize opportunities in the market i.e., what's next. It's a combination of art and science, using your analytical skills to see what's not there and how to address a future need creatively.

List of marketing data analyst skills to add to your resume

Marketing data analyst skills

The most important skills for a marketing data analyst resume and required skills for a marketing data analyst to have include:

  • Digital Marketing
  • Power Bi
  • Data Analysis
  • Visualization
  • Python
  • Google Analytics
  • Marketing Analytics
  • Data Analytics
  • Marketing Campaigns
  • PowerPoint
  • B Testing
  • CRM
  • Business Intelligence
  • Salesforce
  • KPIs
  • Data Quality
  • A/B
  • Campaign Performance
  • Analyze Data
  • SAS
  • ROI
  • Pivot Tables
  • Data Collection
  • Customer Data
  • Email Marketing
  • Data Management
  • Strong Analytical
  • Data Integrity
  • Market Research
  • Facebook
  • Statistical Analysis
  • Marketing Mix
  • Profiling
  • VBA
  • SQL Server
  • Data Entry
  • Extraction
  • Customer Behavior
  • Channel Marketing
  • SEO
  • Linkedin
  • Develop Insights
  • Lead Generation
  • Java
  • Regression
  • Unix
  • Data Warehouse
  • Data Extraction
  • Sales Data
  • ETL

Updated January 8, 2025

Zippia Research Team
Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

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