Clinical Data Analyst

Clinical Data Analyst Resume Keywords and Skills (Hard Skills)

Here are the keywords and skills that appear most frequently on recent Clinical 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
  • SAS
  • Tableau
  • SAS Programming
  • SQL
  • Healthcare
  • Data Analysis
  • Clinical Data Management
  • Healthcare Information Technology (HIT)
  • Data Visualization
  • Electronic Medical Record (EMR)
  • Clinical Research
  • R (Programming Language)
  • Microsoft SQL Server
  • U.S. Health Insurance Portability and Accountability Act (HIPAA)
  • Data Analytics
  • Healthcare Analytics
  • Clinical Trials
  • Data Management
  • Electronic Data Capture (EDC)
  • Healthcare Management
  •   Show full list

Resume Skills: Data Analysis

  • Tableau
  • MS Excel
  • SQL
  • Google Analytics
  • SPSS
  • Python
  • R
  • SAS
  • Stata
  • Excel
  • Python (pandas, numpy)

Resume Skills: Programming

  • Python
  • R
  • SAS
  • VBA
  • SQL
  • Java
  • Python (scikit-learn, numpy)
  • JavaScript

Resume Skills: Healthcare Systems

  • Cerner
  • Epic Systems
  • Meditech
  • McKesson
  • EPIC
  • ICD-10
  • CPT

Resume Skills: Data Management

  • MySQL
  • Oracle
  • Microsoft SQL Server
  • PostgresSQL
  • SQLite
  • Oracle SQL Developer
  • SQL Server
  • SQL
  • NoSQL
  • MongoDB
  • MS Excel
  • PostgreSQL

Resume Skills: Database Systems

  • MySQL
  • Oracle
  • Microsoft SQL Server
  • PostgresSQL
  • SQLite
  • Oracle SQL Developer
  • SQL Server
  • IBM DB2

Resume Skills: Statistical Methods

  • Regression Models
  • Hypothesis Testing
  • Time Series Analysis
  • Survival Analysis
  • Regression Analysis
  • Predictive Modeling

Resume Skills: Data Visualization

  • SPSS
  • SAS
  • Tableau
  • R
  • Power BI
  • Seaborn
  • ggplot2
  • Matplotlib

Resume Skills: Machine Learning Techniques

  • Logistic Regression
  • Random Forests
  • Gradient Boosting
  • Neural Networks
  • SVMs

Resume Skills: Big Data Tools

  • Hadoop
  • Spark
  • Hive
  • Pig

Resume Skills: Clinical Data Systems

  • Medidata Rave
  • Oracle Clinical
  • ClinCapture
  • REDCap
  • IBM Watson Health

Resume Skills: Analytical Tools

  • Tableau
  • Power BI
  • Minitab
  • SPSS
  • Google Analytics

Resume Skills: Software & Tools

  • Microsoft Office
  • Excel (Advanced Macros, Pivot Tables)
  • PowerBI
  • Google Sheets
  • SAS
  • R
  • SQL
  • Python
  • SPSS

Resume Skills: Technical

  • Statistical Analysis
  • Data Visualization
  • Data Cleaning
  • Machine Learning
  • Bioinformatics
  • Predictive Modeling

Resume Skills: Industry Knowledge

  • Clinical Trial Protocols
  • Medical Terminology
  • Healthcare Compliance
  • Electronic Health Records

Resume Skills: Other Software & Tools

  • Tableau
  • QlikView
  • Power BI
  • EHR Systems (Epic, Cerner)
  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 Clinical Data 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
Clinical Data Analyst
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded January 2021 - Present
Clinical Data Analyst
Implemented HIPAA-compliant data management processes, resulting in around a 70% reduction in potential breaches
Developed a complex clinical dataset using SAS programming, improving the accuracy of clinical research and trials by 40%
Utilized data visualization tools such as Tableau to present analytic findings to non-technical team members, enhancing operational efficiency by 25%
Navigated Microsoft SQL Server to create, plot and manipulate databases, leading to a 30% increase in data reliability
Conducted thorough data analysis using R, resulting in a 15% boost in the Healthcare Information Technology (HIT) department’s productivity
AstraZeneca June 2017 - December 2020
Data Analytics Specialist
Developed an innovative U.S. Health Insurance Portability and Accountability Act (HIPAA)-compliant data analytics process, leading to a 30% increase in the effectiveness of data analytics
Processed large data sets using SAS to uncover actionable insights, increasing project success rates by 50%
Visualized complex data sets using Tableau, presenting clear actionable items to team and stakeholders thus boosting efficiency by 20% January 2014 - May 2017
Data Management Assistant
Designed and implemented a data management system, streamlining data storage and access for the entire company, resulting in increase in operational efficiency by 30%
Mastered SQL to handle, manipulate and assess data, leading to a 20% boost in data accuracy
Used Healthcare Analytics to predict trends and outcomes, driving strategic decision-making processes and enhancing project success rate by 35%
Resume Worded Institute May 2022
Certification in Advanced Data Analysis
Part-time certification concurrent with role at Resume Worded
Resume Worded University May 2017
Master's in Data Science
Specialization in Clinical Data Analysis
Awards: Resume Worded Computational Fellowship (Top 5%)
Programming Languages: Python, R, SAS, VBA
Data Analysis Tools: Tableau, MS Excel, SQL, Google Analytics, SPSS
Machine Learning Techniques: Logistic Regression, Random Forests, Gradient Boosting, Neural Networks, SVMs
Big Data Tools: Hadoop, Spark, Hive, Pig
Certifications: Tableau Certified Data Analyst (2021)
Volunteering: Data Coach for DataKind (Non-profit that uses data science in the service of humanity, 2018-Present)
Projects: Developed a predictive model to forecast patient influx at a major healthcare center
Courses: Coursera: Machine Learning by Stanford University (2020)
Your Name
Healthcare Data Analyst
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded June 2020 - Present
Healthcare Data Analyst
Utilized SQL to extract and analyze clinical data, achieving a 20% improvement in data accuracy for healthcare management
Designed and created data reports using Microsoft SQL Server, enhancing data accessibility by 25% for wider organizational use
Used SAS programming to conduct innovative clinical data analysis, reducing the time to get actionable insights by 35%
Leveraged R for healthcare data modeling, resulting in 25% increase in predictive accuracy of healthcare outcomes
Conducted meticulous clinical data analysis, facilitating the successful execution of over 50+ clinical trials
Cerner Corporation July 2016 - May 2020
Clinical Research Data Specialist
Utilized Healthcare Information Technology (HIT) to manage patient records, boosting the accuracy of Electronic Medical Record (EMR) by 30%
Coded complex data sets using SAS programming for clinical trials, improving the efficiency of the research process by 20%
Immersed in Electronic Data Capture (EDC) techniques, which improved data collection speed and accuracy by 15% January 2014 - June 2016
Entry Level Data Analyst
Achieved a 70% efficiency in the processing of healthcare data by developing a sound understanding and usage of SQL
Contribution to data management led to a 20% improvement in data accuracy and accessibility
Successfully implemented data visualizations techniques using Tableau, enabling better interpretation of data by non-technical personnel, and increasing efficiency by 25%
Resume Worded Institute June 2020
Certified Health Data Analyst (CHDA)
Received this certification while working full-time as a Healthcare Data Analyst
Resume Worded University December 2013
Master of Science - Health Informatics
Concentration in Data Analysis and Health Systems Management
Thesis: 'Predictive Analysis of Patient Data for Preventative Care Strategies'
Healthcare Software: Cerner, Epic Systems, Meditech, McKesson
Data Analysis Tools: Python, R, SAS, Stata, SPSS, SQL, Excel
Data Visualization: Tableau, Power BI, Seaborn, ggplot2, Matplotlib
Certifications: IBM Data Science Professional Certificate (2019)
Projects: Integrated functioning NHS EHR data into Cerner's system to support data analytics capabilities at Cerner Corporation (2018)
Publications: Co-authored 'The Role of Data Analysis in Predictive Medicine', published in the Journal of Healthcare Informatics (2017)
Your Name
Clinical Research Analyst
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded July 2019 - Present
Clinical Research Analyst
Ensured consistent implementation of U.S. Health Insurance Portability and Accountability Act (HIPAA) in data handling, preventing any breaching and assuring complete data security
Improved the real-world evidence data manipulation efficiency by 35% by adopting SAS programming
Implemented data visualization strategies using Tableau, reducing the communication gap between technical and non-technical team members by 50%
Created and managed databases using Microsoft SQL Server, leading to 30% increase in data availability and integrity
Optimized clinical research efficiency by 45% by conducting in-depth data analysis using R programming language
Johnson & Johnson January 2016 - June 2019
Data Management Specialist
Assisted in the implementation of HIPAA standards in data management, resulting in secure data handling and boosting data reliability by 50%
Executed data operations using SAS, streamlining data processing and reducing errors by 20%
Facilitated better understanding of data by non-technical staff through effective data visualizations with Tableau, increasing operational efficiency by 25% September 2013 - December 2015
Junior Data Analyst
Involved in database management processes, resulting in increased data accuracy by 20%
Assisted in the application of HIPAA-compliant healthcare management processes, leading to secure data handling and increased trustworthiness of data by 30%
Leveraged R for data processing, leading to a 10% increase in data processing speed
Resume Worded Institute June 2020
Certified Clinical Data Manager (CCDM)
Gained proficiency in clinical data standardization and management
Resume Worded University May 2012
Master of Science - Biostatistics
Specialization in Clinical Trials
Recipient of the Graduate Excellence Award
Clinical Data Systems: Medidata Rave, Oracle Clinical, ClinCapture, REDCap, IBM Watson Health
Data Analysis: Python, R, MATLAB, SAS, SPSS, SQL
Database Management: MySQL, Oracle, Microsoft SQL Server, PostgresSQL, SQLite
Statistical Techniques: Regression Models, Hypothesis Testing, Time Series Analysis, Survival Analysis
Certifications: Certified Associate in Project Management (CAPM) - PMI, HIPAA Compliance Certification, GCP (ICH GCP & ISO14155) Training Certification
Leadership & Volunteering: Clinical Research Network (Committee Member), Volunteered at the National Health Care Institute for 2 years
Projects: Developed a standard operating procedure (SOP) to improve data management efficiency in clinical trials
Continuing Education: Attending annual Clinical Data Interchange Standards Consortium (CDISC) conferences since 2015

Compare Your Resume To These Clinical 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.

How do I add skills to a Clinical Data Analyst resume?

Review the job posting closely.

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

Add industry skills like SQL and Healthcare Information Technology (HIT).

Add other common skills from your industry - such as Data Analysis, SAS Programming and Clinical Data Management - into your resume if they're relevant.

Add skills into your work experience.

Incorporate skills - like Clinical Trials, Data Visualization and Clinical Research - 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 Clinical Data Analyst resumes, hiring managers want to see evidence of how you analyzed quantitative or qualitative data.

Show your ability to analyze data.

In your Clinical 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.

Use the exact job title.

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

Word Cloud for Clinical Data Analyst Skills & Keywords

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

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Clinical 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 Clinical Data Analyst resume?

On top Clinical Data Analyst resumes, skills like SAS, Tableau, SAS Programming, SQL, Healthcare, Data Analysis, Clinical Data Management and Healthcare Information Technology (HIT) appear most often.

Depending on the exact role you're applying to, skills like Clinical Research, Clinical Trials, Electronic Data Capture (EDC), Healthcare Analytics and Data Visualization 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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