Marketing Data Analyst

Marketing Data Analyst Resume Keywords and Skills (Hard Skills)

Here are the keywords and skills that appear most frequently on recent Marketing Data Analyst job postings. In other words, these are the most sought after skills by recruiters and hiring managers. Go to Sample Templates ↓ below to see how to include them on your resume.

Remember that every job is different. Instead of including all keywords on your resume, identify those that are most relevant to the job you're applying to. Use the free Targeted Resume tool to help with this.

Choose a category
  • Market Access
  • Tableau
  • Marketing Analytics
  • Market Risk
  • Google Analytics
  • SQL
  • Data Visualization
  •  Find out what your resume's missing
  • Email Marketing
  • R (Programming Language)
  • Data Analytics
  • Analytics
  • Market Research
  • Data Analysis
  • Python (Programming Language)
  • Product Marketing
  • Digital Marketing
  • Web Analytics
  • Data Mining
  • SAS
  • Microsoft Power BI

  •   Show full list

Resume Skills: Email Marketing

  • LinkedIn Ads
  • Google AdWords
  • Salesforce
  • Marketo
  • HubSpot
  • Google Analytics
  • SEMRush
  • Moz
  • Adobe Marketing Cloud
  • Ahrefs
  • Canva
  • Facebook Ads Manager
  • Twitter Ads
  • Instagram Insights
  • Pinterest Ads
  • SEMrush
  • MailChimp
  • Microsoft Dynamics 365
  • SendinBlue
  • Constant Contact
  • GetResponse
  • Drip
  •  Match your resume to these skills

Resume Skills: Data Analysis

  • Google Analytics
  • Google Data Studio
  • Tableau
  • Looker
  • Adobe Analytics
  • Amplitude
  • R
  • Python (pandas, numpy)
  • Excel
  • SQL
  • SAS
  • Apache Hadoop
  • Python (Pandas, NumPy)
  • Microsoft Excel
  • PowerBI
  • Python (Beginner)
  •  Match your resume to these skills

Resume Skills: Programming

Resume Skills: Big Data

Resume Skills: Statistical Techniques

  • A/B Testing
  • Regression Analysis
  • Hypothesis Testing
  • Predictive Analytics
  • Principal Component Analysis
  • Regression
  • Classification
  • Clustering
  • Dimension Reduction
  •  Match your resume to these skills

Resume Skills: CRM Software

Resume Skills: Machine Learning

Resume Skills: Statistics

  Does your resume contain all the right skills? Paste in your resume in the AI Resume Scan ↓ section below and get an instant score.

Compare Your Resume To These Marketing Data Analyst Skills (ATS Scan)

Paste your resume below and our AI will identify which keywords are missing from your resume from the list above (and what you need to include). Including the right keywords will help you get past Applicant Tracking Systems (i.e. resume screeners) which may scan your resume for keywords to see if you're a match for the job.

Sample Marketing Data Analyst Resume Examples: How To Include These Skills

Add keywords directly into your resume's work experiences, education or Skills section, like we've shown in the examples below. Use the examples below as inspiration.

Choose a template
Your Name
Marketing Data Analyst
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded March 2019 - Present
Senior Marketing Data Analyst
Leveraged SQL and Python scripting skills to automate data collection and manipulations processes, enhancing operational efficiencies by 35%.
Executed data visualization using Tableau, generating comprehensive monthly performance reports that drove an 18% improvement in marketing campaign efficiency.
Initiated comprehensive data analytics and market research practices, uncovering hidden market trends resulting in a 10% increase in product uptake.
Employed Google Analytics and Web Analytics to perform advanced analysis on customer behavior, contributing to a 20% increase in targeted marketing effectiveness.
Developed an automated marketing email system using R programming language, boosting email marketing conversion rates by 15%. January 2017 - February 2019
Marketing Data Analyst
Formulated marketing strategies by analyzing market risk using data mining methodologies, mitigating potential losses by 25%.
Applied SAS analytics skills for predictive modeling, fostering a 12% increase in forecast accuracy.
Led product marketing campaigns using Microsoft Power BI for dynamic visualization, accelerating launch efficiency by 17%.
Google September 2014 - December 2016
Junior Marketing Data Analyst
Enhanced marketing analytics approach by integrating digital marketing data with sales, positively affecting customer satisfaction by 8%.
Supported marketing initiatives by creating segmentation, marketing mix, and trend analysis using SQL, boosting campaign ROI by 20%.
Resume Worded University May 2014
Master of Business Administration (MBA) - Marketing
Focus on Data Driven Marketing Strategy
Resume Worded Academic Center May 2012
Bachelor of Science (BSc) - Statistics
Concentration on Statistical Data Analysis
Awards: Dean's List 2012 (Top 10%)
Data Analysis Tools: R, Python (pandas, numpy), Excel, SQL, Tableau
Big Data Tools: Hadoop, Spark, Hive, Pig, Kafka
CRM Software: HubSpot, Salesforce, Zoho CRM, Pipedrive
Marketing Tools: SEMrush, Google Analytics, MailChimp, Microsoft Dynamics 365
Certifications: Google Data Analytics Certificate (2021), HubSpot Inbound Marketing Certified
Leadership & Volunteering: Coached Volunteer Program (Mentored 10+ junior marketing data analysts)
Projects: Implemented an analytics tool that increased marketing efficiency by 30%
Your Name
Digital Marketing Analyst
City, Country  •  (123) 456-789  •  [email protected]  •
EXPERIENCE March 2019 - Present
Senior Digital Marketing Analyst
Launched effective digital marketing strategies using data analysis, driving 30% growth in online traffic.
Implemented omnichannel campaigns by leveraging Google Analytics and Tableau, increasing customer engagement by 18%.
Performed SQL and Python-based analysis on web analytics, optimizing marketing funnel and enhancing online conversion rates by 12%.
Applied R programming skills to analyze a dataset of over 1 million records, enabling precision targeting and boosting campaign response rates by 22%.
Championed analytics-led marketing initiatives using data mining, leading to a 28% uptick in digital customer acquisition.
Facebook January 2017 - February 2019
Digital Marketing Analyst
Decreased sales cycle length by 20% through market risk analysis and probability scenario modeling using SAS.
Improved email marketing campaign performance by 10% through in-depth data analytics.
Implemented a real-time dashboards using Microsoft Power BI, fostering data-driven decision-making across all marketing campaigns.
Oracle Corporation September 2014 - December 2016
Junior Digital Marketing Analyst
Served as a key contributor in a marketing analytics team, which improved ROI on major campaigns by 15%.
Pioneered a Python-based automated system to manage digital marketing assets, saving 10 hours per week in manual labor.
Resume Worded University January 2016
Master of Business Administration - Marketing
Specialized in Digital Marketing Strategies
Resume Worded Academic Center August 2014
Certification in Data Analysis
Introduction to data manipulation & visualization tools
Digital Marketing Tools: Google Analytics, SEMRush, Moz, HubSpot, Adobe Marketing Cloud, Ahrefs, Canva
Social Media Platforms: Facebook Ads Manager, LinkedIn Ads, Twitter Ads, Instagram Insights, Pinterest Ads
Data Analysis: Microsoft Excel, Tableau, PowerBI, R (Intermediate), Python (Beginner)
Email Marketing: MailChimp, SendinBlue, Constant Contact, GetResponse, Drip
Certifications: Google Analytics Certification (2018), Facebook Blueprint Certification (2017)
Projects: Digital Marketing Strategy for XYZ Startup (Increased organic search traffic by 200%)
Leadership & Volunteering: Social Media Chair, Business Students Association (2016), Volunteer, City Food Bank (2014-Present)
Awards: Outstanding Digital Marketing Professional 2020, Received Employee of the Year at Facebook (2018)
Your Name
Data Analytics Specialist
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded March 2019 - Present
Senior Data Analytics Specialist
Reduced data processing times by 35% through expert utilization of SQL and Python, increasing team productivity.
Revolutionized data reporting by applying Tableau, enhancing comprehensibility and accessibility for non-technical stakeholders.
Implemented new data analytics methodologies that improved demand forecasting by 22%, optimizing stock levels and reducing wastage.
Secured a 15% increase in email open rates by developing an R-based predictive model for optimal sending times.
Collaborated in market research initiatives that unveiled new customer segments, resulting in a 18% sales increase.
Salesforce January 2017 - February 2019
Data Analytics Specialist
Monitored and forecasted market risk through data mining techniques, mitigating trading losses by 25%.
Used Microsoft Power BI for dynamic data visualization, which helped marketing team to understand customer trends more quickly.
Utilized SAS to analyze and predict consumer buying patterns, increasing cross-sell rates by 10%.
Adobe Systems September 2014 - December 2016
Junior Data Analytics Specialist
Constructed data consistency checks and automated error correction, improving data quality by 15%.
Employed digital marketing data driven decisions leading to an 8% boost in overall digital campaign efficiency.
Resume Worded Institute May 2014
Master of Science in Data Analysis
Specialization: Machine Learning and Artificial Intelligence
Resume Worded University June 2012
Bachelor of Science in Computer Science
Minor in Statistics
Awards: Summa Cum Laude, Dean's List 2010-2012
Data Analysis Tools: Tableau, SQL, SAS, Apache Hadoop, Python (Pandas, NumPy), R
Big Data: Spark, Hive, Pig, Kafka, ElasticSearch
Statistical Techniques: Regression, Classification, Clustering, Dimension Reduction
Machine Learning: Supervised Learning, Unsupervised Learning, Reinforcement Learning, Neural Networks
Certifications: Google Analytics Certified, Microsoft Certified: Data Analyst Associate
Volunteering: Data Science Volunteer,
Projects: Developed predictive model for churn rates at local utility company

How do I add skills to a Marketing Data Analyst resume?

Review the job posting closely.

Go through the Marketing Data Analyst posting you're applying to, and identify hard skills the company is looking for. For example, skills like Email Marketing, SQL and Marketing Analytics are possible skills. These are skills you should try to include on your resume.

Add industry skills like Tableau and Market Access.

Add other common skills from your industry - such as Market Risk, Data Visualization and Google Analytics - into your resume if they're relevant.

Add skills into your work experience.

Incorporate skills - like Web Analytics, Analytics and R (Programming Language) - into your work experience too. This shows hiring managers that you have practical experience with these tools, techniques and skills.

Emphasize your marketing experience.

In your Marketing Data Analyst resume, try to highlight any technical marketing experience, whether that's experience with digital marketing tools, or developing marketing plans. We've highlighted examples in the infographic for reference.

Show your ability to analyze data.

In your Marketing Data Analyst resume, show evidence of where you worked with and analyzed data of all formats, whether they're surveys, spreadsheets or databases. We've highlighted examples in the infographic for reference.

Use the exact job title.

Try to add the exact job title, Marketing Data Analyst, somewhere into your resume to get past resume screeners. See the infographic for how to do this.

Word Cloud for Marketing Data Analyst Skills & Keywords

The following word cloud highlights the most popular keywords that appear on Marketing Data Analyst job descriptions. The bigger the word, the more frequently it shows up on employer's job postings. If you have experience with these keywords, include them on your resume.

Top Marketing Data Analyst Skills and Keywords to Include On Your Resume

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Marketing Data Analyst Resume Templates

Here are examples of proven resumes in related jobs and industries, approved by experienced hiring managers. Use them as inspiration when you're writing your own resume. You can even download and edit the resume template in Google Docs.

Resume Example
Entry Level Data Analyst

Resume Example
Senior Data Analyst

Resume Example
Marketing Data Analyst

Resume Example
Financial Data Analyst

Resume Example
Product Marketing Manager

Resume Example
Senior Data Engineer

Browse Skills from Similar Jobs

Frequently Asked Questions

What hard skills should you include on a Marketing Data Analyst resume?

Some effective Marketing Data Analyst skills you can add to your resume include:

  • Market Access
  • Tableau
  • Marketing Analytics
  • Market Risk
  • Google Analytics
  • SQL
  • Data Visualization
  • Email Marketing

Target your Resume to a Job Description

While the keywords above are a good indication of what skills you need on your resume, you should try to find additional keywords that are specific to the job. To do this, use the free Targeted Resume tool. It analyzes the job you are applying to and finds the most important keywords you need on your resume.

It is personalized to your resume, and is the best way to ensure your resume will pass the automated resume filters.

Start targeting your resume

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