Data Analyst

Data Analyst Resume Keywords and Skills (Hard Skills)

Here are the keywords and skills that appear most frequently on recent 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
  • Data Analysis
  • Tableau
  • Data Visualization
  • SQL
  • Data Analytics
  • R (Programming Language)
  • Python (Programming Language)
  •  Find out what your resume's missing
  • Microsoft Access
  • Statistical Data Analysis
  • Statistics
  • IBM SPSS
  • Data Mining
  • MySQL
  • Microsoft Power BI
  • Google Data Studio
  • Analytics
  • Data Science
  • Google Analytics
  • Google BigQuery
  • Microsoft SQL Server
  • Machine Learning
  • SAS
  • Databases
  • Extract, Transform, Load (ETL)
  • Data Modeling
  • Business Analysis

  •   Show full list

Resume Skills: Big Data

  • Excel
  • SQL
  • SPSS
  • STATA
  • Power BI
  • Tableau
  • MATLAB
  • SAS
  • PowerBI
  • Google Analytics
  • Google Data Studio
  • RapidMiner
  • KNIME
  • Hadoop
  • Spark
  • Hive
  • Microsoft Excel
  • Qlik Sense
  • Looker
  • Access
  • ANOVA
  • Regression Analysis
  • Chi-Square
  • Factor Analysis
  • Time Series Analysis
  • Alteryx
  • Oracle BI
  • Apache Spark
  • Pig
  • Cassandra.
  • D3.js
  • Stata
  • SSIS
  • Advanced MS Excel (Pivot Tables, VLOOKUP, Macros)
  • Python (Pandas, NumPy)
  • R
  • Hypothesis Testing
  • Cluster Analysis
  • Machine Learning
  • Kafka
  • Elasticsearch
  • Apache flink
  • AWS
  • Google Cloud
  • MapReduce
  • BigTable
  • Apache Hadoop
  • AWS Big Data
  • Cassandra
  • MongoDB
  • AWS Redshift
  • Apache Hive
  • Apache Kafka
  • Amazon Redshift
  • MySQL
  • Oracle
  • Data Lake
  • Zookeeper
  • BigQuery
  • NoSQL
  •  Match your resume to these skills

Resume Skills: Visualization

  • Hadoop
  • Spark
  • Tableau
  • PowerBI
  • Google Analytics
  • D3.js
  • Power BI
  • Excel
  • Matplotlib
  • SAS Visual Analytics
  • Looker
  • Seaborn
  • ggplot
  • GGplot
  • Google Charts
  • QlikView
  • ggplot.
  • Qlik
  • Plotly
  • Google Data Studio
  • BusinessObjects
  •  Match your resume to these skills

Resume Skills: Database

Resume Skills: Statistical & ML Tools

  • Hadoop
  • Spark
  • Tableau
  • PowerBI
  • Google Analytics
  • D3.js
  • Excel
  • Stata
  • SAS
  • SSIS
  • Advanced MS Excel (Pivot Tables, VLOOKUP, Macros)
  • Apache Spark
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • numpy
  • pandas
  • SSAS
  •  Match your resume to these skills

Resume Skills: Data Management

Resume Skills: Programming

  • Python (Pandas, Numpy)
  • R
  • Java
  • C++
  • Python
  • SQL
  • C#
  • SAS
  • Python (Pandas, NumPy, Scikit-learn)
  • Python (pandas, numpy)
  • MATLAB
  • Java.
  • JavaScript
  • Julia
  • Python (Pandas, NumPy)
  • Scala
  • Python (Pandas, NumPy, Seaborn)
  •  Match your resume to these skills

Resume Skills: Machine Learning

  • TensorFlow
  • Keras
  • PyTorch
  • Scikit-learn
  • SVM
  • XGBoost
  • SciKit-Learn
  • Tensorflow
  • Sklearn
  • Caffe
  • Hadoop
  • Apache Spark
  • Scikit-Learn
  • Keras.
  • scikit-learn
  • CatBoost
  • NLTK
  • LightGBM
  • Pandas
  •  Match your resume to these skills

Resume Skills: Statistics & Machine Learning

  • Linear Regression
  • Logistic Regression
  • Decision Trees
  • Random Forest
  • K-Nearest Neighbors
  • Naive Bayes
  • Support Vector Machines
  • Ensemble Methods
  • Clustering
  • Random Forests
  • A/B Testing
  •  Match your resume to these skills

Resume Skills: Data Science Libraries

Resume Skills: Data Analytics Tools

Resume Skills: Data Mining/Analysis tools

Resume Skills: Other

Resume Skills: Other Technical Tools

  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 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 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.

Select a free resume example
Your Name
Data Analyst
Denver, USA  •  (123) 456-789  •  yourname@resumeworded.com  •  linkedin.com/in/your-profile
EXPERIENCE
Coached.com  - Charlotte, USAJanuary 2022 - Present
Senior Data Analyst
Leveraged SQL and Python to analyze and interpret complex data sets, augmenting team efficiency by 20%
Implemented advanced data visualization using Microsoft Power BI and Tableau, improving business decision making by providing comprehensive insights
Increased financial forecast accuracy by 30% using statistical data analysis and data mining techniques
Designed and deployed machine learning models to automate manual processes, saving 10 hours per week
Worked with Google BigQuery to manage large datasets, improving the speed of data retrieval by 15%
Resume Worded  - Indianapolis, USAJune 2019 - December 2021
Data Analyst
Developed SQL scripts to extract data from databases, improving process efficiency by 15%
Used R programming for statistical analysis, resulting in a 10% improvement in data consistency
Enhanced data quality by performing regular data audits using Python, reducing data errors by 20%
IBM  - Denver, USAJanuary 2017 - May 2019
Junior Data Analyst
Conducted data validation using Microsoft Access, reducing data discrepancies by 10%
Utilized MySQL for database management, improving data retrieval speed by 12%
EDUCATION
Resume Worded University  - Paris, FranceJune 2019
Master of Science in Data Analytics
Thesis: Predictive Modelling for E-commerce Sales
Resume Worded Academic Center  - Houston, USAMay 2017
Bachelor of Science in Computer Science - Data Science Track
Minor in Statistics
Awards: Dean's List 2016 (Top 10%), Resume Worded Merit Scholarship (Full Tuition)
SKILLS
Data Analysis Tools: Excel, SQL, SPSS, STATA, Power BI, Tableau
Programming Languages: Python (Pandas, Numpy), R, Java, C++
Machine Learning: TensorFlow, Keras, PyTorch, Scikit-learn, SVM, XGBoost
Big Data Tools: Hadoop, Spark, Hive, Kafka, Elasticsearch
OTHER
Certifications: Certified Data Science Professional (CDSP), SQL Certified Expert
Awards & Achievements: IBM's Best Junior Data Analyst Award (2018), Resume Worded's Outstanding Performance Award (2021)
Projects: Developed an end-to-end ETL pipeline for Coached.com, leading to a 30% increase in process efficiency
Volunteering: Data Mentors Network (Mentor), TechSpark Coding Bootcamp (Volunteer Instructor)
Data Analyst

How do I add skills to a Data Analyst resume?

1
Review the job posting closely.

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

2
Add industry skills like SQL and Microsoft Access.

Add other common skills from your industry - such as R (Programming Language), Data Visualization and Python (Programming Language) - into your resume if they're relevant.

3
Add skills into your work experience.

Incorporate skills - like Google Data Studio, Google BigQuery and Databases - into your work experience too. This shows hiring managers that you have practical experience with these tools, techniques and skills.

4
Show evidence of your analytical skills.

Analytical skills involve your ability to break down a problem and come up with effective solutions. On Data Analyst resumes, hiring managers want to see evidence of how you analyzed quantitative or qualitative data.

5
Show your ability to analyze data.

In your 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.

6
Use the exact job title.

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

Word Cloud for Data Analyst Skills & Keywords

The following word cloud highlights the most popular keywords that appear on 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 Data Analyst Skills and Keywords to Include On Your Resume

Resume Skills and Keywords from Related Jobs

We also found variations and further specializations to your job title. Browse through the related job titles to find additional keywords that you can include into your resume.

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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
Senior Data Engineer


Resume Example
Big Data Engineer


Browse Skills from Similar Jobs

Frequently Asked Questions

What skills do hiring managers want to see on a Data Analyst resume?

On top Data Analyst resumes, skills like Data Analysis, Tableau, Data Visualization, SQL, Data Analytics, R (Programming Language), Python (Programming Language) and Microsoft Access appear most often.

Depending on the exact role you're applying to, skills like Databases, Google Data Studio, Microsoft SQL Server, Microsoft Power BI and Google BigQuery can also be effective keywords to include on your resume.

What are the differences in resume skills between a Marketing Data Analyst and a Financial Data Analyst?

If you are writing a Marketing Data Analyst resume, try to emphasize skills like Market Access, Tableau, Marketing Analytics, Market Risk, Google Analytics, SQL, Data Visualization and Email Marketing.

Similarly, if you are writing a Financial Data Analyst resume, emphasize skills like Financial Analysis, Financial Modeling, Finance, Financial Reporting, Microsoft SQL Server, Bloomberg Terminal, Visual Basic for Applications (VBA) and Pivot Tables.

What are good resume skills to include for different Data Analyst roles and job titles?

Depending on the specific role you apply to, you may need to emphasize different skill sets. Here are a few examples:

  • Financial Data Analyst: Financial Analysis, SQL, Financial Modeling, Tableau and Data Analysis
  • Marketing Data Analyst: Market Access, Marketing Analytics, Market Risk, Google Analytics and Data Visualization
  • Clinical Data Analyst: SAS, SAS Programming, Healthcare, Clinical Data Management and Healthcare Information Technology (HIT)

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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