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
  •  Find out what your resume's missing
  • 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

Resume Skills: Programming

Resume Skills: Healthcare Systems

Resume Skills: Data Management

Resume Skills: Database Systems

Resume Skills: Statistical Methods

Resume Skills: Data Visualization

Resume Skills: Machine Learning Techniques

Resume Skills: Big Data Tools

Resume Skills: Clinical Data Systems

Resume Skills: Analytical Tools

Resume Skills: Software & Tools

Resume Skills: Technical

Resume Skills: Industry Knowledge

Resume Skills: Other Software & Tools

  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 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.

Sample Clinical Data Analyst 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
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
Your Name
Clinical Analyst
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded January 2020 - Present
Senior Clinical Analyst
Harmonized data quality across 3 different Healthcare Information Technology (HIT) systems, improving data accuracy by 85%
Successfully led Cerner software implementation, addressing system-wide deficiencies and enhancing patient care
Conducted extensive clinical research, testing new informatics tools to provide recommendations, resulting in 30% efficiency improvement in Inpatient Care February 2017 - December 2019
Clinical Systems Analyst
Established an effective privacy strategy, ensuring 100% compliance with U.S. Health Insurance Portability and Accountability Act (HIPAA)
Developed an Ambulatory Care model utilizing Meditech software to streamline processes, reducing patient waiting time by 45%
Improved user-interface of Electronic Medical Record (EMR) by integrating HL7 standard, improving accessibility and user-friendliness for healthcare providers
Mayo Clinic January 2015 - January 2017
Junior Clinical Analyst
Generated high-quality clinical reports, optimizing data management and enhancing patient safety
Assisted in the development of detailed software documentation, ensuring accurate record-keeping
Collaborated in the adoption of Epic Systems, improving data integrity and reducing healthcare management costs
Resume Worded Academic Center December 2016
Master of Science - Health Informatics
Courses: Advanced Health Data Management, Clinical Decision Support Systems
Resume Worded University June 2014
Bachelor of Science - Healthcare Administration
Focus on Data Management and Analytics
Awards: Dean's List 2014 (Top 10%)
Systems & Software: EPIC Systems, Cerner, AllScripts, MEDITECH, Python (Intermediate)
Health Informatics Tools: Crystal Reports, SQL Server Reporting Services, Tableau, MS Access
Interoperability Standards: HL7, FHIR, DICOM, ICD-10, CPT, SNOMED CT
Analysis & Project Management: Requirement Analysis, Gap Analysis, Risk Assessment, Agile/Scrum Methodology
Certifications: Certified Professional in Healthcare Information and Management Systems (CPHIMS), Six Sigma Green Belt
Trainings: MLP Training: Health Data Analytics, Project Management Institute: Agile Project Management
Leadership & Volunteering: Co-chair, Local Chapter, American Health Information Management Association (AHIMA), Resume Worded Foundation (Board Member and Fundraising Team Leader)
Publications: Co-author, 'Data-Driven Healthcare: Applications and Implications', Published in Health IT Journal
Your Name
Healthcare IT Analyst
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded March 2019 - Present
Lead Healthcare IT Analyst
Spearheaded the adoption of informatics in decision-making, reducing system inefficiencies by 40%
Piloted an initiative to enforce U.S. Health Insurance Portability and Accountability Act (HIPAA), greatly increasing patient data security
Implemented HL7 standard in EMR, enhancing data exchange, integration, and sharing April 2016 - February 2019
Healthcare IT Analyst
Strengthened healthcare management by creating an innovative platform utilizing Cerner and Meditech software
Assisted in clinical research projects, leading to improved Inpatient Care protocol
Developed a database using Epic Systems, thereby reducing the time taken for data retrieval by 30%
Cleveland Clinic May 2013 - March 2016
IT Support Specialist
Managed troubleshooting for Clinical Analysts within the Computerized Physician Order Entry(CPOE) system
Streamlined information flow, increasing the efficiency of Nursing team by 20%
Responsible for keeping all software documentation up-to-date, thereby reducing issues related to missing or outdated information by 75%
Resume Worded University February 2016
Master of Science in Health Informatics
Specialization in IT Project Management
Resume Worded Academic Center April 2013
Bachelor of Science – Computer Science
Minors in Health Informatics and Data Science
Final Year Project: Design of Patient Data Management System
Technical Skills: Python, C++, Java, SQL, XML, HTML
Operating Systems: Windows, Linux, Mac OS
Database Management: Oracle, PostgreSQL, MS SQL Server, MySQL, MongoDB
Healthcare IT Tools: Cerner, Epic Systems, McKesson, Siemens, MEDITECH
Certifications: Healthcare Information and Management Systems Society (HIMSS) Certified Professional in Healthcare Information and Management Systems (CPHIMS), Certified Associate in Healthcare Information & Management Systems (CAHIMS)
Projects: Led development of a patient data analysis application for Hospital at, resulting in 15% efficiency increase
Leadership & Volunteering: Volunteered at local community health center, assisting with moving their health records online
Awards: ‘Healthcare IT Innovator of the Year’ at in 2018
Your Name
Health Informatics Specialist
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded June 2018 - Present
Senior Health Informatics Specialist
Developed an innovative strategy to enhance EMR, leading to a 60% improvement in Hospitals' data management
Oversaw the successful integration of HL7 Standards in healthcare systems, improving interoperability
Led a team in performing extensive clinical research, resulting in a significant improvement in Patient Safety July 2015 - May 2018
Health Informatics Specialist
Implemented new procedures for Inpatient Care, resulting in a 25% increase in efficiency
Assisted in the development and implementation of HIPAA compliance strategy, protecting patient data
Expedited patient care in the hospital setting by efficiently managing data through Epic Systems
Johns Hopkins Hospital June 2012 - June 2015
Clinical Data Analyst
Leveraged Meditech software to enhance data accuracy in Ambulatory Care
Implemented Cerner to optimize resource management, reducing associated costs by 15%
Improved software documentation, contributing to better understanding and use of healthcare IT applications among staff
Resume Worded University June 2015
Master of Science - Health Informatics
Focused on Health Information Management systems and Health Data Analysis
Resume Worded Institute May 2012
Bachelor of Science - Health Information Management
Concentrated studies in Healthcare IT, Data Analysis and Management, System Analysis
Dean's List 2010 (Top 10%)
Healthcare Data Management: HL7, FHIR, SNOMED, LOINC
Data Analysis & BI Tools: SQL, R, Python (Pandas, Matplotlib), Tableau, PowerBI
EMR/EHR Platforms: EPIC, Cerner, NextGen Healthcare
Data Security & Compliance: HIPAA, PII, PHI, PCI
Certifications: Certified Health Data Analyst (CHDA), Certified Professional in Health Informatics (CPHI)
Continuing Education: Advanced Data Management for Health Informatics Course, Machine Learning for Health Informatics
Publications & Presentations: Published research paper on 'Future of Health Informatics' in HIMSS Journal, Presented findings on 'Impact of Machine Learning on Health Informatics' at AHIMA conference 2020
Volunteering: Data Analytics Consultant for Health for All, providing insights to drive optimal service delivery

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

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Senior Data Analyst

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Marketing Data Analyst

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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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