Data Specialist

Data Specialist Resume Keywords and Skills (Hard Skills)

Here are the keywords and skills that appear most frequently on recent Data 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
  • Python (Programming Language)
  • SQL
  • Data Analysis
  • Tableau
  • Data Management
  • Data Visualization
  • Machine Learning
  •  Find out what your resume's missing
  • Microsoft Power BI
  • R (Programming Language)
  • Data Mining
  • Data Analytics
  • Data Science
  • Extract, Transform, Load (ETL)
  • Databases
  • Business Analysis
  • Apache Spark
  • Hadoop
  • Data Modeling
  • Big Data
  • Data Governance
  • Data Engineering
  • Requirements Analysis
  • Data Warehousing
  • Cloud Computing

  •   Show full list

Resume Skills: Programming

Resume Skills: Big Data

Resume Skills: Machine Learning & AI

Resume Skills: Data Mining/Analysis tools

Resume Skills: Database Manage Systems

Resume Skills: Data Visualization

Resume Skills: Business Intelligence Tools

Resume Skills: Databases

Resume Skills: Data Warehousing

Resume Skills: Data Analytics

Resume Skills: Data Management

  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 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 Data 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.

Select a free resume example
Your Name
Data Specialist
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded January 2020 - Present
Senior Data Specialist
Orchestrated the modernization of outdated data systems leading to a 35% improvement in data processing times using Apache Spark and Hadoop.
Led a team to develop a comprehensive data governance framework that improved data quality by 40%.
Implemented machine learning models that increased the efficiency of data analysis tasks by 50%, reducing manual intervention.
Successfully employed Python and SQL for complex data modelling exercises, increasing accuracy by 20%.
Managed end-to-end ETL processes, improving data transformation efficiency by 15%.
Dell Technologies March 2016 - December 2019
Data Specialist
Developed comprehensive data visualizations using Tableau, enhancing business decision-making based on data insights.
Expedited data extraction and loading processes, leading to a 25% reduction in execution time using ETL strategies.
Spearheaded use of big data technologies for substantial data sets, improving data management efficiency by 30%. June 2014 - February 2016
Junior Data Specialist
Conducted data analysis tasks on business metrics, identifying key trends that led to a 10% increase in operational efficiency.
Maintained databases to ensure information availability and performance, leading to a 15% improvement in data retrieval times.
Leveraged Python for automating routine data mining tasks, resulting in a 20% increase in productivity.
IBM May 2013 - May 2014
Data Analyst Intern
Assisted in the development of data science algorithm, which improved predictive accuracy by 10%.
Enhanced data visualizations with PowerBI, increasing report engagement by 12%.
Contributed to monitoring and adjusting ETL processes, improving performance by 5%.
Resume Worded University December 2016
Master of Science - Data Analytics
Specialized in Advanced Machine Learning Techniques
Resume Worded Academic Center May 2014
Bachelor of Science - Computer Science
Minor in Statistics
Achievements: Dean's List 2013 (Top 10%)
Programming Languages: Python, SQL, Java, JavaScript, MATLAB, C++
Big Data: Hadoop, Spark, Hive, Pig, Kafka
Data Visualization: Tableau, Power BI, Matplotlib, Seaborn
Machine Learning Frameworks: TensorFlow, PyTorch, Keras, scikit-learn
Certifications: IBM Data Science Professional Certification, Certified SAS Base Programmer
Projects: Developed a Predictive Analysis Model using Machine Learning for Sales Forecasting
Volunteering: Data Science Volunteer, DataKind (Analyzed public data to provide solutions for non-profit organizations)
Continuing Education: Advanced SQL for Data Scientists, Coursera
Your Name
Data Analyst
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded April 2019 - Present
Senior Data Analyst
Implemented a data governance strategy that increased report accuracy by 28% with a data stewardship approach.
Utilized machine learning models to optimize data mining techniques, leading to a 20% increase in data classification accuracy.
Introduced Tableau for data visualization to provide detailed analysis reports, improving customer engagement by 15%.
Executed in-depth data analyses using Python and R, reducing time to insight for key business metrics by 30%.
Implemented strategic data cleaning processes which enhanced data quality by 35% and reduced anomalies.
Amazon February 2017 - March 2019
Data Analyst
Revamped the existing ETL process, reducing data transformation times by 20%.
Carried out SQL queries for complex data extraction tasks, resulting in 10% improvement in data retrieval speed.
Utilized Tableau for creating dashboards, leading to a 15% increase in user engagement. January 2016 - January 2017
Junior Data Analyst
Participated in managing data systems, leading to a 10% reduction in redundant data.
Aided in the development of an ETL pipeline, enhancing throughput by 15%.
Contributed to applying machine learning algorithms for data prediction tasks, leading to 7% increase in accuracy.
Resume Worded University May 2019
Master of Science in Data Science
Specialization in Data Engineering and Management
Resume Worded Academic Center January 2017
Certification in Machine Learning
Part-time study while working at
Programming Languages: Java, Python (pandas, numpy), SQL, R, MATLAB, C++
Data Mining/Analysis tools: SAS Enterprise Miner, RapidMiner, SPSS, Microsoft Excel, Tableau
Big Data: Hadoop, MapReduce, Spark, Kafka, Hive, Pig
Database Manage Systems: MS SQL Server, Oracle, MySQL, MongoDB
Certifications: AWS Certified Big Data, Tableau Certified Associate
Projects: Developed prediction models using Python for sales forecasting in Amazon.
Leadership & Volunteering: Mentor at Girls Who Code, Volunteered in data cleaning project for non-profit organizations
Awards: Employee of the Year (Amazon, 2018), Excellence Award in Data Analysis (, 2017)
Your Name
Business Intelligence Specialist
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded June 2019 - Present
Business Intelligence Manager
Spearheaded the application of big data technologies, resulting in a 30% increase in data scalability.
Integrated MS Power BI for data reports, which led to a 25% increase in business decision-making efficiency.
Leveraged machine learning and predictive modeling to drive business forecasting accuracy up by 35%.
Managed and mentored a team of 5 Junior Data Specialists, achieving a 15% increase in productivity.
Used SQL for data manipulation and extraction tasks, reducing processing time by 15%.
Microsoft March 2018 - May 2019
Business Intelligence Specialist
Designed efficient data models that increased report generation speed by 20%.
Implemented a new data governance model, improving data quality by 18%.
Utilized Tableau for creating intuitive data visualizations, leading to a 12% increase in report engagement. January 2017 - February 2018
Junior Business Intelligence Specialist
Automated data extraction routine using Python and R scripts, leading to 10% time savings.
Assisted in enhancing the existing ETL process to improve efficiency by 15%.
Contributed to the development of data dashboards for business monitoring and decision making.
Resume Worded University June 2019
Master of Business Administration (MBA)
Specialization in Business Intelligence and Data Analysis
Resume Worded Institute May 2016
Bachelor of Science in Information Technology
Minor in Computer Science
Received 'Outstanding Senior Project' award for designing an advanced BI dashboard
Business Intelligence Tools: Tableau, Power BI, QlikView, Looker, Microsoft BI
Programming: Python, SQL, R, Java, C#
Databases: Oracle, SQL Server, PostgreSQL, MySQL, NoSQL
Data Warehousing: Amazon Redshift, Google BigQuery, Snowflake, Azure Synapse Analytics
Certifications: Microsoft Certified: Data Analyst Associate (July 2019), Oracle Business Intelligence Foundation Suite 11g Certified Implementation Specialist (February 2018)
Projects: Developed comprehensive business intelligence platform for a rising tech startup, leading to an increase in company revenue by 20%
Awards: Received 'BI Specialist of the Year' award at Microsoft in 2019
Leadership & Volunteering: Volunteer Data Analyst, Red Cross (2016-2017)
Your Name
Information Specialist
City, Country  •  (123) 456-789  •  [email protected]  •
Esri March 2020 - Present
Information Specialist
Developed and implemented comprehensive data analysis procedures with GIS and Python, resulting in a 30% increase in project efficiency.
Created and maintained spatial databases using ArcGIS and SQL, optimizing data retrieval processes.
Performed advanced spatial analysis on large datasets, improving the quality of geographical information by 45%.
NASA July 2017 - February 2020
GIS Analyst
Devised and executed data management strategies for GIS and ArcGIS products, leading to an improved workflow.
Used ERDAS Imagine and ArcMap for remote sensing analyses, increasing accuracy of geographical data by 20%.
Employed GPS and Quantum GIS in field data collection, improving accuracy and efficiency.
Resume Worded January 2015 - June 2017
GIS Technician
Collaborated in creating and updating geographic maps using ArcMap and Cartography, enhancing the organization's GIS data accuracy.
Managed geographic data and layers using ArcCatalog, resulting in organized and accessible geographical information.
Assisted in GIS research and analysis, leading to timely completion of projects.
Resume Worded Institute February 2020
Certification in Advanced Geospatial Analysis
Emphasized on satellite imaging and remote sensing techniques
Resume Worded University December 2014
Master of Science in Geographic Information Systems (GIS)
Focus on cartography, spatial analysis, and geo-database management
Recipient of Academic Excellence Award for top-notch research in GIS technology
Software & Tools: ESRI ArcGIS Pro, AutoCAD, QGIS, Envi, ERDAS Imagine, Google Earth Pro, MapInfo
Programming & Scripting: Python, JavaScript, SQL, R, HTML, CSS
Spatial Analysis Techniques: Geocoding, Network Analysis, Buffer Analysis, Location-Allocation, Surface Analysis, Aerial Photography Interpretation (API)
Databases: PostgreSQL, Oracle Spatial, Microsoft SQL Server, MongoDB
Certifications: Certified GIS Professional (GISP) - GIS Certification Institute, Lean Six Sigma Yellow Belt
Professional Affiliations: Member, American Association of Geographers
Projects: Designed an efficient routing system for EMS vehicles for a large metro, resulting in a 12% reduction in response times
Volunteering: GIS Volunteer, Regional Map Updating - American Red Cross, January 2015 - December 2017
Your Name
Geographic Information Systems Specialist
City, Country  •  (123) 456-789  •  [email protected]  •
EXPERIENCE April 2021 - Present
Geographic Information Systems Specialist
Maximized use of ArcGIS products and Python in spatial analysis, enhancing decision-making processes by 35%.
Managed complex spatial databases using SQL, reducing data redundancy by 20%.
Incorporated remote sensing techniques with ArcMap and ERDAS Imagine for detailed data collection.
Streamlined the use of GPS technology in data gathering, increasing the reliability of field data.
Led research initiatives on geospatial data trends, contributing to the effective delivery of projects.
RedCross August 2018 - March 2021
GIS Analyst
Executed advanced spatial analyses using ArcGIS products, improving the data quality by 25%.
Leveraged remote sensing tools like ERDAS Imagine for resource optimization.
Collaborated in storing and managing data using SQL and MIS systems, enhancing data security. February 2016 - July 2018
GIS Technician
Utilized ArcMap and Cartography principles in the creation of geographic maps.
Assisted in managing and updating geographic data using ArcCatalog.
Resume Worded Academic Center April 2021
Master of Science - Geospatial Information Science and Technology
Intensive capstone project on predictive modelling using GIS
Resume Worded University February 2016
Bachelor of Science - Geographic Information Science and Cartography
Graduated Summa Cum Laude
Awarded Best Undergraduate Thesis (GEOINT Focus)
GIS Software: Esri ArcGIS Pro, QGIS, Carto, MapInfo, ERDAS IMAGE, ENVI
Remote Sensing & Cartography: Photogrammetry, LIDAR analysis, Image Classification, Geostatistics, Georeferencing, Geocoding
Programming & Databases: Python (geopy, pandas, matplotlib), SQL, PostGIS, R (sp, rgdal), Java
Data Analysis Tools: Tableau, SAS, PowerBI, SPSS, Stata
Certifications: Esri Certification Program: ArcGIS Desktop Professional (2020)
Projects: Developed and presented a detailed flood risk analysis model for a local county
Leadership & Volunteering: GISCorps Volunteer - Mapped crisis zones for NGOs in response to natural disasters
Publications: Co-authored a research paper on 'Leveraging GIS for Climate Change Mitigation' published in the International Journal of Geoinformatics
Your Name
Data Management Specialist
City, Country  •  (123) 456-789  •  [email protected]  •
Google May 2020 - Present
Data Management Specialist
Optimized data retrieval processes by creating and maintaining robust spatial databases with GIS, ArcGIS, and SQL.
Enhanced geographical data quality by 40% through comprehensive spatial analysis using Python.
Developed sophisticated information management strategies using ArcGIS products, elevating data management efficiency by 35%.
Boosted the reliability of field data by integrating GPS technology into data gathering procedures.
Contributed to the research and development of new data management practices, strengthening the department’s operational effectiveness.
NASA December 2016 - April 2020
Information Analyst
Led spatial data analyses using Quantum GIS and ArcMap, increasing project efficiency by 30%.
Maximized data accuracy by integrating remote sensing techniques into the analytical workflow using ERDAS Imagine.
Revolutionized the organization's data storage system by customizing Management Information Systems (MIS). January 2013 - November 2016
Info Tech Assistant
Aided in the update and organization of geographic data using ArcCatalog and ArcMap.
Assisted in conducting GIS research and analysis, ensuring timely project completion.
Enhanced mapping accuracy by leveraging cartography principles.
Resume Worded Institute May 2020
Certification in Advanced Data Management
The certification focused on emerging trends and approaches in data management.
Resume Worded University December 2016
Master of Science in Information Technology
Special focus on Information Systems and Database Management.
Programming: Python, Java, SQL, C++, MATLAB, R
Database: MySQL, PostgreSQL, MongoDB, Oracle DB, MariaDB, Microsoft SQL Server
Big Data: Hadoop, Spark, Hive, Tableau, Cassandra, Kafka
Data Warehousing Tools: Informatica, DataStage, SSIS, Talend, Pentaho
Certifications: Microsoft Certified: Data Analyst Associate (Azure), AWS Certified Big Data – Specialty
Volunteering Experience: Volunteer at Code for America, helping underprivileged kids learn programming skills.
Awards: Google Data Innovator Award(2021), NASA Excellence Award for Distinguished Service - Information Analyst (2019)
Professional Affiliations: Member of the Data Management Association International (DAMA)

How do I add skills to a Data Specialist resume?

Review the job posting closely.

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

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

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

Add skills into your work experience.

Incorporate skills - like Data Engineering, Extract, Transform, Load (ETL) and Data Governance - 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 Data Specialist resumes, hiring managers want to see evidence of how you analyzed quantitative or qualitative data.

Show your ability to analyze data.

In your Data Specialist 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, Data Specialist, somewhere into your resume to get past resume screeners. See the infographic for how to do this.

Word Cloud for Data Specialist Skills & Keywords

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

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Data 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
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 should you put on a Data Specialist resume?

Some popular Data Specialist hard skills are Python (Programming Language), SQL, Data Analysis, Tableau, Data Management, Data Visualization, Machine Learning and Microsoft Power BI.

Depending on the job you apply to, skills like Apache Spark, Data Engineering, Data Warehousing, Data Governance and Extract, Transform, Load (ETL) 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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