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Clinical data analyst skills for your resume and career

Updated January 8, 2025
6 min read
Quoted expert
Neilroy Singer
Below we've compiled a list of the most critical clinical data analyst skills. We ranked the top skills for clinical data analysts based on the percentage of resumes they appeared on. For example, 11.8% of clinical data analyst resumes contained patients as a skill. Continue reading to find out what skills a clinical data analyst needs to be successful in the workplace.

15 clinical data analyst skills for your resume and career

1. Patients

Here's how clinical data analysts use patients:
  • Developed various case detection algorithms to identify Patients with severe diseases like pneumonia & cancer to automatically alert the clinicians.
  • Monitored database stability and quality of data entered for 5K+ transplant and pulmonary hypertension patients in Southern California.

2. Data Analysis

Here's how clinical data analysts use data analysis:
  • Prepared reports that included data analysis and identification of any patterns/trends through the use of appropriate descriptive statistical tools.
  • Apply the Method of Exploratory Data Analysis to examine the variability among different factors in clinical database.

3. Data Collection

Data collection means to analyze and collect all the necessary information. It helps in carrying out research and in storing important and necessary information. The most important goal of data collection is to gather the information that is rich and accurate for statistical analysis.

Here's how clinical data analysts use data collection:
  • Develop data collection and reporting tools in Access in addition to creating regulatory documentation and operational compliance plans.
  • Provide formal/informal instruction and assistance in data collection and analysis for internal audiences/departments to further quality improvement initiatives.

4. SAS

SAS stands for Statistical Analysis System which is a Statistical Software designed by SAS institute. This software enables users to perform advanced analytics and queries related to data analytics and predictive analysis. It can retrieve data from different sources and perform statistical analysis on it.

Here's how clinical data analysts use sas:
  • Conducted hypotheses study to compare product effectiveness with competitor by analysis clinical trial data with SAS.
  • Key Results: * Performed and coordinated SAS clinical data programming activities involving three clinical studies concerning an Oncology study.

5. Process Improvement

Here's how clinical data analysts use process improvement:
  • Provided physician and nurse education focusing on process improvement of clinical quality and resource utilization.
  • Identify potential process improvement opportunities and discuss with Lead CDA/Data Manager.

6. Data Quality

Here's how clinical data analysts use data quality:
  • Review clinical data ensuring data quality and integrity; upon completion of data review, make recommendation for locking/finalizing the database.
  • Coordinated, developed and facilitated monthly client training program and supporting materials for Data Quality Report and Outcomes Report interpretation.

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7. Statistical Analysis

Here's how clinical data analysts use statistical analysis:
  • Performed extensive Statistical analysis & Visualized on interactive scales with raw data that increased the prediction accuracy.
  • Designed and assessed statistical analysis tables for efficacy and laboratory values.

8. Quality Improvement

Quality improvement (QA) is a systematic approach to eliminate or reduce rework, wastes, and losses in the production process. It is part of quality management, which aims to increase the ability to meet quality requirements. It manages change and uses data for making decisions to improve policies, programs, and results.

Here's how clinical data analysts use quality improvement:
  • Participated on performance improvement teams with physicians and other employees to identify opportunities for quality improvement at the Medical Center.
  • Provide timely responses to questions or concerns communicated by the Quality Improvement Partners project management team, executive leadership team.

9. PowerPoint

Here's how clinical data analysts use powerpoint:
  • Used software tools on daily basis, including MiniTab, Ascent, Access, Excel, PowerPoint, and Word.
  • Created scripts and tools (JBAR) to automate analyst workflows and generations of Excel and PowerPoint reports.

10. Patient Safety

Here's how clinical data analysts use patient safety:
  • Facilitate weekly patient safety meeting with nurse managers and hospital administrators to review reported occurrences related to patient safety.
  • Trained in advanced SQL data mining techniques to generate performance improvement statistical reports for patient safety outcomes.

11. EMR

Here's how clinical data analysts use emr:
  • Travel throughout the United States to assigned facility to implement new EMR application used for Medication Reconciliation.
  • Facilitated the implementation of improved EMR reporting functionality.

12. Oncology

Oncology is defined as the facet of medicine that deals with cancer. Oncology also deals with the prevention and diagnosis of these diseases. A medical professional who has studied the discipline of oncology is referred to as an ‘oncologist'. An oncologist can further specialize in their discipline and become a medical oncologist, surgical oncologist, or radiation oncologist.

Here's how clinical data analysts use oncology:
  • Lead analyst on 70+ global clinical trials, all phases, experienced with Oncology trials.
  • Led and mentored team of four junior Data Analyst assigned to oncology program.

13. Data Integrity

Data integrity denotes the consistency or accuracy validation of data in the whole lifecycle of data. It ensures the security of traceability and search-ability of all data in a person's device to the source.

Here's how clinical data analysts use data integrity:
  • Used clinical expertise to correctly map hospital data to ensure data integrity in timely manner.
  • Provide input into development/enhancement of data entry to ensure data integrity/consistency.

14. EHR

Electronic Health Records, or simply EHR, contains all the information about a patient whether they are new or old. It includes the record of diagnosis, medication, progress note, medical history, radiology, and laboratory results. A health facility or hospital has this kind of document to track a patient's record electronically.

Here's how clinical data analysts use ehr:
  • Project lead for Electronic Health Records (EHR) software system implementation and training to medical providers and staff.
  • Provide resource for implementation of Point Click Care (PCC), a long-term care EHR.

15. SQL Server

Here's how clinical data analysts use sql server:
  • Developed a reporting application that interfaced with the organization's corporate incident reporting system which has an SQL server back-end database.
  • Automated the extraction of data from these systems for use with MS Access and SQL Server.
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Neilroy Singer

Environmental Scientist, Website

Interpretation of data management and transitioning into using new technology data analysis tools. Computer generation.
Do you want to know more?
Read more about what experts have to say about clinical data analyst

List of clinical data analyst skills to add to your resume

The most important skills for a clinical data analyst resume and required skills for a clinical data analyst to have include:

  • Patients
  • Data Analysis
  • Data Collection
  • SAS
  • Process Improvement
  • Data Quality
  • Statistical Analysis
  • Quality Improvement
  • PowerPoint
  • Patient Safety
  • EMR
  • Oncology
  • Data Integrity
  • EHR
  • SQL Server
  • Macro
  • Data Warehouse
  • CMS
  • ICH
  • HIPAA
  • FDA
  • Data Review
  • Data Management
  • QC
  • Clinical Operations
  • GCP
  • EDC
  • Extraction
  • Data Validation
  • Clinical Trial Data
  • Clinical Studies
  • Technical Support
  • Data Queries
  • User Acceptance
  • CRF
  • Profiling
  • Electronic Data
  • Management Plans
  • Medicaid
  • CRO
  • QA
  • ETL
  • SharePoint
  • CDISC
  • Management System
  • R

Updated January 8, 2025

Zippia Research Team
Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

Updated January 8, 2025

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