Analytics Manager

Analytics Manager Resume Keywords and Skills (Hard Skills)

Here are the keywords and skills that appear most frequently on recent Analytics Manager 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)
  • Business Analysis
  • SQL
  • Data Analytics
  • Data Analysis
  • Strategy
  • Data Science
  • Stakeholder Management
  • Business Insights
  • Data Modeling
  • SAS
  • Microsoft Power BI
  • Python (Programming Language)
  • Predictive Analytics
  • Business Intelligence (BI)
  • Machine Learning
  • Marketing Analytics
  • Spotfire
  • Predictive Modeling
  •   Show full list

Resume Skills: Big Data

  • SQL Server
  • Oracle
  • Hadoop
  • Spark
  • Hive
  • Pig
  • MongoDB
  • Tableau
  • Power BI
  • MS SQL Server
  • Kaftka
  • Flume
  • Zookeeper
  • Kafka
  • Yarn
  • Sqoop
  • Apache Hadoop
  • Apache Spark
  • SQL
  • Cassandra

Resume Skills: Programming

  • SQL
  • Python
  • Java
  • C++
  • R
  • MATLAB
  • JavaScript
  • NoSQL
  • Scala
  • Python (Pandas, NumPy)
  • SAS

Resume Skills: Database Management

  • SAS
  • Hadoop
  • Spark
  • SQL Server
  • Oracle
  • MySQL
  • PostgreSQL
  • MongoDB
  • Oracle DB

Resume Skills: Data Analysis

  • Data Warehousing
  • Business Intelligence Tools (PowerBI, Tableau)
  • Data Modeling
  • Big Data Analytics
  • Predictive Modeling
  • Data Mining
  • Adv. Excel (Pivot Tables, VLOOKUP)
  • Data Interpretation

Resume Skills: Project Management Tools

  • Agile
  • Scrum
  • JIRA
  • Trello
  • Confluence
  • Asana
  • Slack

Resume Skills: Data Science Tools

  • TensorFlow
  • NumPy
  • Scikit-learn
  • Pandas
  • PyTorch
  • Matplotlib
  • Seaborn

Resume Skills: Data Visualization

  • Tableau
  • Power BI
  • Data Studio
  • D3.js
  • Qlik Sense
  • SAS Visual Analytics
  • QlikView
  • ggplot
  • Shiny

Resume Skills: Statistical Analysis Software

  • SPSS
  • Statistica
  • Mathematica

Resume Skills: Analytical Tools

  • Tableau
  • Power BI
  • Google Analytics
  • Adobe Omniture

Resume Skills: Analytics Tools

  • Google Analytics
  • Facebook Analytics
  • Tableau
  • Python (pandas)
  • Excel

Resume Skills: Cloud Platforms

  • AWS
  • Google Cloud
  • Microsoft Azure
  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 Manager 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 Manager 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
Business Intelligence Analyst
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Resume Worded January 2021 - Present
Business Intelligence Analyst
Transformed raw data into insightful business dashboards using Power BI, leading to improved data-driven decision making.
Created an automated data retrieval and processing system with Python, increasing data processing speed by 20%.
Leveraged SQL for data extraction from various sources, eliminating redundancy and increasing data quality.
Employed Tableau for real-time data visualization, making complex statistical data understandable for key stakeholders.
Mastered use of R for advanced statistical analysis, which improved predictive modeling efficiency by 30%.
Coached.com August 2018 - December 2020
Data Analyst
Harnessed data analytics tools like SQL and R to drive data quality improvement by 15%.
Implemented predictive analytics using Python to anticipate market trends, reducing risk associated with business decisions, and increasing efficiency.
Utilized Tableau to represent data in easy-to-understand format, leading to improved communication of insights amongst stakeholders.
Microsoft June 2016 - July 2018
Junior Data Analyst
Utilized SQL and Excel to effectively manage and process data.
Leveraged Tableau for data visualization and reporting, improving the readability and comprehension of data reports.
EDUCATION
Resume Worded University May 2018
Master of Science in Data Analytics
Specialization in Business Intelligence and Data Warehousing
Resume Worded Academic Center June 2016
Bachelor of Science in Computer Science
Minors in Mathematics and Statistics
Awards: Resume Worded Academic Excellence Award
SKILLS
Programming: SQL, Python, Java, C++, R, MATLAB
Data Analysis: Data Warehousing, Business Intelligence Tools (PowerBI, Tableau), Data Modeling, Big Data Analytics
Databases & Data Warehousing Tools: SQL Server, Oracle, Hadoop, Spark, Hive, Pig, MongoDB
Project Management Tools: Agile, Scrum, JIRA, Trello, Confluence
OTHER
Certifications: Certified Business Intelligence Professional (CBIP), Microsoft Certified: Data Analyst Associate
Leadership & Volunteering: Co-chair, Resume Worded University Data Analytics Club (2015-2016), Volunteer Data Analyst for local Non-profit Organizations
Projects: Developed a predictive model for consumer behavior analysis as a university project
Professional Development: Attended the Advanced Business Intelligence Techniques Seminar, 2020
Your Name
Data Science Manager
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Amazon January 2018 - December 2020
Senior Data Scientist
Uncovered hidden patterns using machine learning that reduced costs by 15%.
Developed algorithms that improved customer recommendations, increasing sales conversion by 20%.
Optimized data pipelines using Python, reducing the processing time by 50%.
Resume Worded February 2020 - Present
Data Science Manager
Honed leadership skills by managing a team of dedicated data scientists and analysts, overseeing all stages of data-driven strategic projects.
Directed the implementation of machine learning models to optimize predictive analysis, boosting forecast accuracy by 25%.
Spearheaded initiatives for analytics using Python, SQL and R, enhancing the scope and efficiency of data science projects.
Executed detailed business analysis to understand client requirements, enabling the provision of personalized data solutions.
Utilized visualization tools like Spotfire and Power BI to present complex analytics in a user-friendly manner, enhancing stakeholder understanding.
Microsoft January 2021 - Present
Data Science Manager
Led a cross-functional team in the rollout of a data science project which increased monthly revenue by 35%.
Influenced company-wide data-driven decision making by developing accessible and user-friendly data interfaces.
Improved forecasting model which reduced forecasting error rate by 20%.
Implemented a new data platform, reducing the time to insight from 1 week to 3 days.
Utilized cloud technologies to speed up data processing tasks by 30%.
Coached.com July 2017 - January 2020
Senior Data Scientist
Developed advanced data-driven solutions by leveraging skills in SQL, Python and R.
Applied machine learning techniques to develop high-performance predictive models, enhancing the accuracy of marketing campaigns by 15%.
Utilized Power BI and Tableau in creating user-friendly data visualizations, improving comprehension of data insights amongst non-technical stakeholders.
IBM June 2015 - June 2017
Data Scientist
Employed Python and R to build robust data models, improving business efficiency by anticipating sales trends.
Used SQL to manage massive data sets and streamline information availability.
Created dynamic data dashboards in Tableau for easier accessibility and data comprehension.
EDUCATION
Resume Worded University July 2017
Master of Science - Data Science and Advanced Analytics
Focus on complex algorithms, statistical modeling, and data visualization techniques
Resume Worded Institute June 2015
Bachelor of Engineering - Computer Science
Received Data Analysis and Visualization Certificate
Achievements: Resume Worded Academic Excellence Award - Top 5% of class
SKILLS
Programming: Python, MATLAB, JavaScript, R, SQL, Java
Big Data: Hadoop, Spark, Hive, Pig, Kaftka, Flume, Zookeeper
Data Science Tools: TensorFlow, NumPy, Scikit-learn, Pandas, PyTorch, Matplotlib, Seaborn
Data Visualization: Tableau, Power BI, Data Studio, D3.js, Qlik Sense, SAS Visual Analytics
OTHER
Certifications: Certified Data Professional (CDP), Project Management Professional (PMP)
Leadership & Volunteering: Data Volunteers (Founder, ongoing data workshops for minority students), Mentor for 'Data for Good' nonprofit
Projects: Implementation of predictive analysis for a Fortune 500 company, resulting in a 20% increase in operational efficiency
Publications: Authored a research paper on 'The Application of Machine Learning in Finance' published in the International Data Science Journal
Your Name
Director of Data Analytics
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Resume Worded March 2022 - Present
Director of Data Analytics
Led a team of 7 analysts using SQL for data analytics, improving team productivity by 30%.
Established data science practices using R and Python, accelerating model creation speed by 40%.
Implemented Microsoft Power BI for effective data visualization, helping top-tier executives make data-driven business decisions.
Developed rigorous data warehousing processes, reducing data retrieval time by 20%.
Drove business strategy by leveraging analytical insights, resulting in 15% increase in annual company profits.
Coached.com July 2018 - February 2022
Senior Data Analyst
Boosted eCommerce sales by 20% through targeted regression analysis and predictive modelling.
Achieved promotion due to leadership in project utilizing Alteryx, improving data analytic process and boosting team performance by 15%.
Implemented data mining strategies, identifying and targeting 20% previously uninsured market segment contributing to company growth.
Amazon April 2016 - June 2018
Data Analyst
Developed strategy to improve data quality, reducing data errors by 15%.
Extracted significant database resources using SQL, leading to a streamlined process reducing delay by 10%.
EDUCATION
SKILLS
Data Analysis & Visualization Tools: Tableau, Power BI, SAS, D3.js, Looker
Programming Languages: Python, R, MATLAB, SQL, JavaScript
Big Data Platforms: Hadoop, Spark, AWS Redshift, Google BigQuery
Statistical Modeling: Linear & Logistic Regression, Decision Trees, SVM, Clustering, Neural Networks
OTHER
Certifications: Certified Data Management Professional, AWS Certified Big Data - Specialty
Leadership & Volunteering: Data Science For All Mentor, VP of the University Big Data Club
Awards: Best Data Analytics Project in Annual Data Talent Scotland Competition (2021)
Publications: Co-authored 'Leveraging Big Data in Retail' in the Tech Leaders Magazine
Your Name
Business Analytics Manager
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Google April 2016 - December 2020
Business Analyst
Automated reporting processes, saving over 15 hours of manual work each week.
Managed and analyzed business data to facilitate decision making, leading to 50% increase in efficiency.
Developed a sales forecasting model that increased accuracy of sales prediction by 30%.
Facebook January 2021 - Present
Business Analytics Manager
Spearheaded a data governance initiative that improved data security compliance by 60%.
Directed team in leveraging data analytics to identify actionable opportunities, leading to an increase in revenue by 35%.
Implemented dashboarding using Power BI to improve reporting efficiency by 40%.
Revamped benchmarking strategies to improve competitive position, leading to a 25% increase in market share.
Designed data driven strategies that improves return on investment by 30%.
EDUCATION
Resume Worded Academic Center December 2019
Master of Business Administration (MBA)
Specialized in Data Analytics
Resume Worded University April 2014
Bachelor of Science in Business Administration
Majored in Information Systems
Awards: Resume Worded Scholar (Top 3% awarded), Dean's List 2014 (Top 10%)
SKILLS
Analytics Tools: Google Analytics, Facebook Analytics, Tableau, Python (pandas), Excel
Big Data Technologies: Apache Hadoop, Apache Spark, Hive, Pig, SQL
Database Management: MySQL, PostgreSQL, MongoDB, SQL Server, Oracle DB
Project Management Tools: JIRA, Trello, Asana, Slack
OTHER
Certifications: Certified Business Analysis Professional (CBAP), Certified Scrum Master (CSM)
Professional Development: Leaders in Business Analytics Conference (Annually since 2018), SAS Analytics U Pro Forum
Volunteering: Data Analytics mentor at Resume Worded Mentorship Program, Big Brothers Big Sisters (Local Chapter)
Awards: Google Performance Bonus (2019, 2020), Facebook Driving Impact Award (2021)
Your Name
Data and Analytics Manager
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Apple January 2017 - December 2019
Data Engineer
Implemented ETL processes which improved data accuracy by 25%.
Streamlined data flow and storage, reducing data access time by 30%.
Improved data availability by establishing an effective data backup and restoration protocol.
Netflix January 2021 - Present
Data and Analytics Manager
Managed data architecture project which enhanced organizational data management capacity by 35%.
Directed team to implement data warehousing solution improving data access and reliability by 40%.
Spearheaded development of predictive models, leading to a 25% improvement in customer retention.
Promoted a culture of data-driven decision making, leading to a 20% increase in operational efficiency.
Deployed BI tools for more user-friendly data visualization, boosting data utilization across the company by 50%.
EDUCATION
Resume Worded Institute May 2020
Certification in Advanced Data Engineering
Part-time certification course completed during tenure at Apple.
Resume Worded University May 2016
Master of Science in Data Science
Specialization in Machine Learning and Predictive Analytics
SKILLS
Data Management Tools: SAS, Hadoop, Spark, SQL Server, Oracle
Programming: Python, Java, C++, SQL, NoSQL, R, Scala
Big Data Technologies: Kafka, Yarn, Flume, Sqoop, Pig, Hive
Analytical Tools: Tableau, Power BI, Google Analytics, Adobe Omniture
OTHER
Certifications: AWS Certified Big Data - Specialty, 2021
Leadership & Volunteering: Data Science Volunteer, The Data Science Foundation, 2017-2020
Awards: Best Innovation in Data, Netflix, 2021
Projects: Designed and Deployed Customer Recommendation System, Apple, 2018
Your Name
Big Data Manager
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
IBM February 2018 - December 2020
Big Data Engineer
Improved data processing time by 40% by implementing new big data technologies.
Developed scalable data pipeline that processes over a billion transactions a day.
Implemented in-house data governance policies increasing data security by 50%.
Oracle January 2021 - Present
Big Data Manager
Directed a 20-member team to deliver big data project on time and within budget, resulting in a 40% increase in efficiency.
Pioneered a machine-learning driven approach to big data management which improved data quality by 30%.
Leveraged Hive and Hadoop for effective data querying which expedited data analysis tasks by 25%.
Advised management on big data strategy, leading to a 20% reduction in operational costs.
Facilitated data innovations by creating an cross-departmental functioning data science group.
EDUCATION
Resume Worded Institute February 2021
Certified Data Management Professional (CDMP)
Intensive focus on data governance, data quality, and data interoperability
Resume Worded University May 2017
Master's Degree in Information Systems
Specialization in Big Data Management
Recipient of Resume Worded Merit Scholarship for academic excellence
SKILLS
Big Data Tools: Apache Hadoop, Spark, Cassandra, Hive, Pig, Flume
Programming Languages: Java, Python, R, SQL, MATLAB, C++
Data Visualization: Tableau, D3.js, QlikView, ggplot, Shiny
Cloud Platforms: AWS, Google Cloud, Microsoft Azure
OTHER
Certifications: Oracle Certified Professional (OCP): Big Data Certification (2020)
Leadership & Volunteering: Mentor, DataDriven Initiative (Non-profit teaching minorities Data Science)
Articles & Publications: Authored 'Harnessing Big Data: A Comprehensive Approach' in Data Science Journal
Projects: Developed a predictive model for credit risk analysis using Hadoop/Spark

How do I add skills to an Analytics Manager resume?

1
Review the job posting closely.

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

2
Add industry skills like Tableau and Analytics.

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

3
Add skills into your work experience.

Incorporate skills - like Microsoft Power BI, Spotfire and Business Insights - into your work experience too. This shows hiring managers that you have practical experience with these tools, techniques and skills.

4
Highlight leadership and management skills.

Hiring managers often want to see evidence of leadership and management on an Analytics Manager resume, so try to include any examples of where you led a project or managed other people.

5
Highlight data science skill sets.

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

6
Use the exact job title.

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

Word Cloud for Analytics Manager Skills & Keywords

The following word cloud highlights the most popular keywords that appear on Analytics Manager 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 Manager 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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Analytics Manager 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
Professional


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 do hiring managers want to see on an Analytics Manager resume?

On top Analytics Manager resumes, skills like Analytics, Tableau, Data Visualization, R (Programming Language), Business Analysis, SQL, Data Analytics and Data Analysis appear most often.

Depending on the exact role you're applying to, skills like Business Insights, Predictive Analytics, Spotfire, Marketing Analytics and Microsoft Power BI 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

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