Analytics Specialist

Analytics Specialist Resume Keywords and Skills (Hard Skills)

Here are the keywords and skills that appear most frequently on recent Analytics Specialist 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
  • Analytics
  • Tableau
  • Data Visualization
  • R (Programming Language)
  • SQL
  • Microsoft Power BI
  • SAS
  •  Find out what your resume's missing
  • Data Analysis
  • Machine Learning
  • Data Analytics
  • Python (Programming Language)
  • Data Science
  • Data Mining
  • Furniture Design
  • Business Analysis
  • Business Intelligence (BI)
  • Google Analytics
  • Microsoft SQL Server
  • Statistics
  • Visual Basic for Applications (VBA)
  • Predictive Analytics
  • Business Analytics
  • Predictive Modeling

  •   Show full list

Resume Skills: Big Data

Resume Skills: Business Intelligence Software

Resume Skills: Programming

Resume Skills: Data Warehousing

Resume Skills: Machine Learning

Resume Skills: Data Visualization

Resume Skills: Data Analytics Tools

Resume Skills: Machine Learning Libraries

  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 Analytics Specialist 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 Analytics Specialist 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
Analytics Specialist
City, Country  •  (123) 456-789  •  [email protected]  •
Amazon July 2020 - Present
Senior Analytics Specialist
Designed and implemented predictive analytics models using R and Tableau, which resulted in a 30% increase in operational efficiency.
Leveraged SQL and Microsoft Power BI to process large datasets, reducing data analysis time by 40%.
Created data visualization tools and reports, improving business decision-making and enhancing data transparency.
Led a team to develop machine learning algorithms which improved prediction accuracy by 20%.
Utilized data mining techniques to identify customer patterns, resulting in 25% increase in sales.
Resume Worded May 2018 - July 2020
Data Analyst
Conducted thorough data analysis using SAS, leading to a 35% improvement in marketing strategies.
Streamlined data reports using Python and Google Analytics, improving data accuracy by 20%.
Developed and maintained dashboards using Microsoft SQL Server, leading to a 15% increase in team efficiency.
Implemented advanced statistical techniques which improved predictive model performance by 10%. June 2016 - May 2018
Junior Data Analyst
Assisted in creating data visualizations in Tableau, enhancing business understanding of key metrics.
Contributed to the analysis of large datasets using SQL, facilitating timely business decisions.
Resume Worded Academic Center June 2020
Master of Science in Data Science
Specialization in Advanced Analytics and Machine Learning
Resume Worded University May 2016
Bachelor of Science in Statistics
Minor in Computer Science
Dean's List 2014 - 2016 (Top 10%)
Programming: Python, R, SQL, SAS, MATLAB, Java
Data Analytics Tools: Excel, Tableau, Power BI, QlikView
Big Data Tools: Hadoop, Spark, Hive, Pig, Kafka
Machine Learning Libraries: TensorFlow, Keras, Scikit-Learn, PyTorch, XGBoost
Certifications: AWS Certified Big Data (2021), Certified Analytics Professional (CAP) (2019)
Leadership & Volunteering: Mentor at Girls Who Code (2018 - Present), Volunteer Data Analyst at Nonprofit X (2017 - 2018)
Projects: Developed a predictive model to forecast sales for a retail company, Conducted a sentiment analysis of customer reviews for a restaurant chain
Your Name
Business Intelligence Analyst
City, Country  •  (123) 456-789  •  [email protected]  •
Facebook December 2020 - Present
Principal Business Intelligence Analyst
Managed the business intelligence team, developing analytical frameworks that drove a 15% revenue increase.
Architectured data models using visual basic for applications (VBA) and Python leading to 30% improvement in data management.
Applied machine learning and business analytics to unearth hidden insights, resulting in a 20% reduction in operational costs.
Integrated Tableau and Microsoft Power BI for data visualization, enhancing strategic decision making process.
Implemented data mining strategies to recognize new revenue opportunities, contributing to a 10% annual sales growth. March 2018 - December 2020
Senior Business Intelligence Analyst
Utilized SQL and R to handle and analyze large datasets, reducing data handling time by 35%.
Designed tailored visualizations in Tableau, offering clearer insight into the business operations.
Implemented data analytics frameworks, improving data reliability and quality by 40%.
Identified business trends using predictive analytics resulting in a 20% increase in market shares.
Resume Worded January 2016 - March 2018
Business Intelligence Analyst
Conducted data analysis utilizing SQL, leading to efficient and insightful business reports.
Assisted in creating interactive dashboards in Tableau, improving metric accessibility and understanding.
Resume Worded Institute February 2021
Certified Business Intelligence (CBI) - Advanced Level
Completed certification alongside my role at Facebook, specialising in advanced data analysis techniques
Resume Worded University December 2015
Master of Science in Data Analytics
Specialization in predictive modeling and business intelligence systems
Award: Outstanding Student of the Program
Business Intelligence Software: Tableau, Power BI, QlikView, Looker, Excel(VBA)
Programming: SQL, Python (Pandas, NumPy), R (dplyr, ggplot2), MATLAB
Data Warehousing: Amazon Redshift, Google BigQuery, Snowflake, Microsoft Azure SQL
Big Data: Hadoop, Apache Spark, Apache Hive, Apache Kafka
Certifications: Tableau Certified Data Analyst (2019), Google Analytics Certified Professional (2018)
Awards: ‘Above and Beyond’ award at for exceptional performance (2019)
Projects: Developed and deployed BI strategies for a non-profit, increasing efficiency by 25%
Volunteering: Data Analyst for Tech For Good - non-profit organisation focused on using technology to solve social issues (2017-Present)
Your Name
Data Scientist
City, Country  •  (123) 456-789  •  [email protected]  •
Google October 2020 - Present
Senior Data Scientist
Led a team of data scientists to implement machine learning algorithms, boosting prediction accuracy by 25%.
Incorporated Python and R to develop predictive models, improving forecast precision by 10%.
Applied statistics and data analysis to solve complex business problems which increased overall profitability by 30%
Developed a data mining solution to identify new marketing channels, leading to a 20% increase in customer base.
Managed data visuals using Microsft Power BI, translating complex data into actionable business insights.
Resume Worded May 2017 - October 2020
Data Scientist
Employed SAS and Tableau to manipulate and visualize datasets, reducing data analysis time by 15%.
Created predictive models using Python, resulting in a 10% improvement in forecasting decisions.
Performed data analysis using SQL, enhancing the accuracy of reports and decisions. January 2015 - May 2017
Junior Data Scientist
Contributed in visualizing data using Google Analytics, enhancing the understanding of key performance metrics.
Assisted in implementing data science techniques for problem-solving, improving decision-making processes.
Resume Worded Institute Oct 2019
Master of Science - Data Science
Specialization in Machine Learning and Artificial Intelligence
Resume Worded University May 2015
Bachelor of Engineering - Computer Science
Minors in Statistics and Applied Mathematics
Awards: Accelerated Program Scholar (Top 5%), Departmental Honors Award
Programming: Python (Pandas, Numpy, Scikit-learn), SQL, Java, Scala, Julia
Machine Learning: Supervised/Unsupervised Learning, Neural Networks, Gradient Boosting, Decision Trees, Random Forests
Big Data: Hadoop, Hive, Pig, MapReduce, Apache Spark, Google Cloud
Data Visualization: Tableau, Power BI, ggplot2, Matplotlib, Seaborn
Certifications: Google Data Engineering Certification (2020), Certified AI Professional
Leadership & Volunteering: Mentor at TechWomen (2020- Present), Volunteer Data Analyst at Open Data Initiative
Projects: Developed predictive model for customer churn leading to a reduction by 7%
Publications: Published research paper on 'The Future of Machine Learning Algorithms' in Journal of Artificial Intelligence (2021)

How do I add skills to an Analytics Specialist resume?

Review the job posting closely.

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

Add industry skills like SAS and R (Programming Language).

Add other common skills from your industry - such as Microsoft Power BI, Data Analysis and SQL - into your resume if they're relevant.

Add skills into your work experience.

Incorporate skills - like Machine Learning, Furniture Design and Visual Basic for Applications (VBA) - 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 Specialist 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 Specialist.

Use the exact job title.

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

Word Cloud for Analytics Specialist Skills & Keywords

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

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Analytics Specialist 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 skills should you put on an Analytics Specialist resume?

Some popular Analytics Specialist hard skills are Analytics, Tableau, Data Visualization, R (Programming Language), SQL, Microsoft Power BI, SAS and Data Analysis.

Depending on the job you apply to, skills like Python (Programming Language), Machine Learning, Visual Basic for Applications (VBA), Furniture Design and Google Analytics can also be good 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

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