Analytics Analyst

Analytics Analyst Resume Keywords and Skills (Hard Skills)

Here are the keywords and skills that appear most frequently on recent Analytics 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
  • Tableau
  • SQL
  • Data Visualization
  • Analytics
  • R (Programming Language)
  • SAS
  • Python (Programming Language)
  • Microsoft Power BI
  • Data Analytics
  • Alteryx
  • Data Analysis
  • SAS Programming
  • Machine Learning
  • Statistics
  • Google Analytics
  • Data Science
  • Data Mining
  • Microsoft SQL Server
  • Visual Basic for Applications (VBA)
  • Adobe Analytics
  • Statistical Modeling
  • Predictive Modeling
  • Business Analysis
  • Business Analytics
  •   Show full list

Resume Skills: Programming

  • Python (Pandas, NumPy, SciPy)
  • R
  • SQL
  • Java
  • Python (pandas, numpy, scikit-learn)
  • Python (pandas, numpy)

Resume Skills: Big Data

  • Hadoop
  • Spark
  • Hive
  • Pig
  • Cassandra
  • Apache Spark
  • TensorFlow
  • Apache Hadoop

Resume Skills: Data Visualization

  • Tableau
  • PowerBI
  • Seaborn
  • ggplot
  • Matplotlib

Resume Skills: Machine Learning

  • Scikit-Learn
  • TensorFlow
  • Keras
  • PyTorch
  • Regression
  • Classification
  • Clustering
  • Neural Networks

Resume Skills: Business Intelligence Tools

  • Tableau
  • Power BI
  • Looker
  • SQL Server Reporting Services (SSRS)

Resume Skills: Project & Process Management

  • JIRA
  • MS Project
  • Lean Six Sigma
  • Agile Scrum
  Does your resume contain all the right skills? Paste in your resume in the AI Resume Scan ↓ section below and get an instant score.

Sample Analytics Analyst Resume: 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
Analytics Analyst
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded July 2020 - Present
Senior Analytics Analyst
Incorporated Machine Learning techniques with Python to automate manual data interpretation process, resulting in 30% increase in team efficiency
Spearheaded an initiative to leverage SQL for deeper data analysis, uncovering significant customer trends and driving decision-making with a 40% uptick in sales
Devised strategic visualizations using Tableau, facilitating clearer understanding of complex data sets to stakeholders, improving business intelligence by 35%
Engineered robust algorithms using R programming language to mine hidden insights translating into $75,000 annual savings
Implemented advanced statistical models for prediction forecasting, achieving 90% accuracy in business trend projections
Google March 2018 – June 2020
Data Analyst
Employed Microsoft Power BI to create dynamic reports, enhancing data representation and driving key strategic decisions
Executed detailed big data analysis with Google Analytics, culminating in a 20% increase in targeted marketing efficiency
Adopted Visual Basic for Applications (VBA) to automate repetitive Excel tasks, resulting in a 15 man-hour savings per week
Accenture January 2015 - March 2018
Junior Data Analyst
Managed the implementation of Alteryx for better data blending, leading to 115% improvement in data accuracy
Leveraged Microsoft SQL Server for database management, enhancing the processing speed by 30%
Applied SAS programming to enhance data quality, successfully innovating a more efficient reporting process
Resume Worded University June 2017
Master of Applied Statistics
Specialization in Big Data Analytics
Resume Worded University May 2014
Bachelor of Science in Computer Science
Minor in Business Analytics
Awards: Dean's List 2012 (Top 10%)
Programming: Python (Pandas, NumPy, SciPy), R, SQL, Java
Big Data: Hadoop, Spark, Hive, Pig, Cassandra
Data Visualization: Tableau, PowerBI, Seaborn, ggplot
Machine Learning: Scikit-Learn, TensorFlow, Keras, PyTorch
Certifications: Certified Data Analyst - Google Data Studio (2021)
Courses: Coursera Big Data Specialization (2020)
Projects: Predictive modeling for customer churn rates which improved customer retention by 15% at Google.
Leadership & Volunteering: Mentor for Junior Data Analysts at Accenture (2016-2018)
Your Name
Data Scientist
City, Country  •  (123) 456-789  •  [email protected]  •
EXPERIENCE February 2021 - Present
Data Science Team Leader
Directed team in leveraging Python's libraries for advanced data science tasks, resulting in 40% decrease in project timelines
Pioneered the use of machine learning for predicting customer behaviors, driving a 15% increase in upsell
Formulated advanced statistical models using R, enhancing predictive accuracy by 35%
Spearheaded the integration of Microsoft SQL Server for scalable database management, streamlining data retrieval and processing by 25%
Adopted Tableau and Microsoft Power BI for creating interactive data visualizations, resulting in an easier comprehension of key data insights
Resume Worded January 2018 - February 2021
Senior Data Scientist
Pinpointed key data opportunities using SQL, leading to a $100,000 reduction in operation expenses
Applied Alteryx for processing critical data sets, achieving 75% improvement in data blending
Implemented predictive analytics techniques via Python, achieving a 65% improvement in accurate trend forecasting
Facebook June 2015 - December 2017
Data Analyst
Built data mining models using advanced SAS programming, resulting in a 20% increase in actionable insights
Utilized Google Analytics for comprehensive web traffic analysis, significantly boosting page performance by 30%
Harnessed VBA for automating Excel tasks, leading to a 10-hour reduction in weekly manual efforts
Resume Worded University June 2017
Master of Science - Data Science
Focused on machine learning techniques and big data solutions
Resume Worded Institute May 2015
Bachelor of Engineering - Computer Science
Minors in Mathematics and Statistics
Recipient of Data Analytics Excellence Scholarship
Programming: Python (pandas, numpy, scikit-learn), R, Java, SQL
Big Data: Hadoop, Apache Spark, Hive, Pig, TensorFlow
Data Visualization: Tableau, PowerBI, Matplotlib, Seaborn
Machine Learning: Regression, Classification, Clustering, Neural Networks
Certifications: Certified Data Science Professional (CDSP), Big Data Engineering with Apache Spark
Leadership & Volunteering: Volunteer Data Analyst for local non-profit organization.
Projects: Developed predictive model for customer churn resulting in 15% revenue retention
Publications: Co-authored 'Leveraging Big Data for Business Innovation' in Data Science Quarterly

Compare Your Resume To These Analytics 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.

How do I add skills to an Analytics Analyst resume?

Review the job posting closely.

Go through the Analytics Analyst posting you're applying to, and identify hard skills the company is looking for. For example, skills like SAS, R (Programming Language) and Microsoft Power BI are possible skills. These are skills you should try to include on your resume.

Add industry skills like Tableau and Python (Programming Language).

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

Add skills into your work experience.

Incorporate skills - like Adobe Analytics, Machine Learning and Business Analysis - into your work experience too. This shows hiring managers that you have practical experience with these tools, techniques and skills.

Show evidence of your analytical skills.

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

Highlight data science skill sets.

Dealing with large data sets, cleaning them and uncovering business insights are important skill sets for an Analytics Analyst.

Use the exact job title.

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

Word Cloud for Analytics Analyst Skills & Keywords

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

Get your Resume Instantly Checked, For Free

Upload your resume and we'll spot the issues in it before an actual Analytics Analyst recruiter sees it. For free.

Analytics 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
Data Analytics Manager

Resume Example

Resume Example
Highlights (Free)

Resume Example
Modern Two-Column

Resume Example
Clean Modern

Resume Example
Entry-Level (Free)

Browse Skills from Similar Jobs

Frequently Asked Questions

What are the top skills you should add to your Analytics Analyst resume?

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

Depending on the exact role you're applying to, skills like Data Science, Statistical Modeling, Business Analysis, Adobe Analytics and Machine Learning can also be effective keywords to include on your resume.

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

© 2023 Resume Worded. All rights reserved.