Job Description

Clinical Data Analyst Location: Dallas, TX Experience: Entry-Level to Mid-Level Professionals; New Graduates with Relevant Healthcare, Clinical, or Data Analytics Experience Encouraged Employment Type: Full-Time Visa: All Visa Types Considered, subject to applicable employment requirements About the Opportunity We are currently hiring for a Clinical Data Analyst position with one of our clients in Dallas, TX. This is an excellent opportunity for professionals interested in clinical data analysis, healthcare analytics, patient data, clinical research, and data-driven decision-making . The ideal candidate will have strong analytical and problem-solving skills, attention to detail, and an interest in working with clinical and healthcare data to support research, operations, quality improvement, and business decisions. Qualified new graduates with relevant healthcare, life sciences, data analytics, or technical education are encouraged to apply. Candidates with relevant internships, clinical research experience, academic projects, or hands-on data analysis experience are welcome. Key Responsibilities Collect, organize, validate, and analyze clinical and healthcare data from multiple sources. Analyze patient, clinical, operational, and research datasets to identify trends and patterns. Develop reports, dashboards, and visualizations to communicate clinical data insights. Write and optimize SQL queries to retrieve and analyze data from healthcare databases. Perform data cleaning, transformation, validation, and quality checks. Identify data discrepancies, missing information, and inconsistencies and assist with resolution. Support clinical research, quality improvement, population health, and healthcare operations initiatives. Collaborate with clinicians, researchers, data engineers, business analysts, and healthcare operations teams. Translate clinical and business requirements into analytical and reporting solutions. Prepare recurring and ad-hoc analytical reports for healthcare stakeholders. Monitor clinical and operational KPIs and identify opportunities for improvement. Maintain documentation related to data sources, definitions, analytical methodologies, and reporting processes. Support data extraction and analysis for clinical studies, audits, and healthcare initiatives. Present analytical findings and recommendations to technical and non-technical stakeholders. Ensure appropriate handling of confidential healthcare information and follow applicable data privacy requirements. Required Qualifications Bachelor's or Master's degree in Health Informatics, Healthcare Analytics, Data Science, Statistics, Public Health, Clinical Research, Computer Science, Information Systems, Biology, or a related field . Strong analytical and problem-solving skills. Working knowledge of SQL . Proficiency with Microsoft Excel. Understanding of data analysis, data quality, and data visualization concepts. Strong attention to detail and ability to work with complex datasets. Excellent written and verbal communication skills. Ability to understand healthcare or clinical requirements and translate them into analytical solutions. Ability to work independently and collaboratively with healthcare and technical teams. Preferred Qualifications Experience with Power BI, Tableau, or other data visualization tools . Knowledge of Python, R, SAS, or similar analytical programming languages . Familiarity with healthcare databases, clinical data warehouses, or EHR systems. Exposure to Epic, Cerner, Meditech, or other Electronic Health Record systems . Understanding of healthcare data standards such as ICD-10, CPT, HCPCS, LOINC, or SNOMED CT is a plus. Familiarity with clinical research, healthcare quality, population health, or healthcare operations. Knowledge of HIPAA and healthcare data privacy requirements. Experience with SQL Server, Oracle, Snowflake, BigQuery, or similar database technologies. Exposure to ETL/ELT processes and data warehousing concepts. Familiarity with healthcare claims, clinical documentation, laboratory, or patient outcomes data is beneficial. New Graduate Consideration Qualified new graduates are encouraged to apply , particularly candidates with relevant healthcare, clinical, life sciences, or analytical degrees and practical exposure through internships, academic research, capstone projects, clinical projects, certifications, or technical training . Candidates do not necessarily need prior professional experience specifically titled "Clinical Data #J-18808-Ljbffr

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