healthcare data analyst

Machinify

<div><div><p>Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We&rsquo;re constantly reimagining what&rsquo;s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.</p></div><div><p>
We&rsquo;re seeking a skilled <b>Senior Data Analyst </b>to join our team!</p>
<p>
Join our Data Engineering team and help transform complex healthcare claims data into powerful insights that shape business strategy, drive clinical decisions, and support ML and analytics initiatives. You&rsquo;ll architect data mappings, ensure data integrity, and serve as the go-to expert on claims data&mdash;bridging the gap between raw data and actionable outcomes.</p>
<p>
Does this sound like the right opportunity to explore?... Let's connect!
</p><p><b>What You&rsquo;ll Do</b></p>
<ul>
<li>Design and maintain robust data transformations and mappings to convert raw medical claims into standardized canonical models.
</li><li>Perform detailed data quality audits to detect, troubleshoot, and resolve issues impacting accuracy and completeness.
</li><li>Write and optimize Spark SQL queries to validate data pipelines and support ongoing analytics.
</li><li>Document data transformation logic and lineage to ensure transparency and reusability.
</li><li>Collaborate cross-functionally with business stakeholders to translate data needs into technical specs.
</li><li>Support onboarding of new client data feeds, ensuring smooth integration with minimal disruption.
</li><li>Partner with data engineers to build and scale data pipelines, improving performance and reliability.
</li><li>Act as a subject matter expert for healthcare claims data&mdash;advising on risk, trends, and business impact.
</li><li>Work closely with data scientists to enable advanced analytics, ML models, and reporting use cases.
</li><li>Troubleshoot ETL workflows and performance issues, driving continuous improvement in data architecture.</li>
</ul>
<p><b>What You Bring</b></p>
<ul>
<li>Bachelor&rsquo;s degree in Business, Computer Science, Health Informatics, or a related field.
</li><li>6+ years of experience as a data analyst or business analyst working with large datasets.
</li><li>6+ years of hands-on experience with healthcare claims data (e.g., 837 EDI, medical billing, encounterdata).
</li><li>Advanced proficiency in SQL and familiarity working with Spark or similar big data framework will be bonus.
</li><li>Solid understanding of data modeling concepts and best practices for analytics. \</li>
<li>Proven problem-solving skills and attention to detail in complex data environments.
</li><li>Strong organizational skills and ability to manage multiple concurrent initiatives.
</li><li>Excellent written and verbal communication skills, especially when explaining technical concepts to non-technical stakeholders (e.g., clinicians, account managers, data scientists).
</li><li>Self-starter with a strong sense of ownership and accountability</li>
</ul>
<p><b>What We Offer</b></p>
<ul>
<li>Work from anywhere in the US! Machinify is digital-first.</li>
<li>Full Medical/Dental/Vision for employees &amp; their families</li>
<li>Flexible and trusting environment where you&rsquo;ll feel empowered to do your best work</li>
<li>Unlimited FTO</li>
<li>Competitive salary, equity, 401(k) including employer match</li>
</ul>
<p>The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. The base salary range for this role is $140k-$170k. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.</p></div><div><div><b>
Equal Employment Opportunity at Machinify</b></div>
<div></div>
<div>We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/</div></div></div>

Healthcare Data Analyst

General Dynamics Information Technology

<p></p><div><div><div><p>Your Impact</p><p>
Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being and support of U.S. citizens.</p><p>
Job Description</p><div><p>
Deliver insights to help our clients turn data into action as a Sr. Healthcare Data Analyst at GDIT. Your work will provide transformative solutions to our clients&rsquo; big-data opportunities and help advance the mission. Here, you can make a meaningful impact on our clients&rsquo; mission and on your career.<br>
<br>
At GDIT, people are our differentiator. As a Sr. Healthcare Data Analyst you will help ensure today is safe and tomorrow is smarter. Our work depends on Data Analyst Associate joining our team to support the Centers for Medicare &amp; Medicaid Services (CMS) mission to detect and prevent fraud, waste, or abuse across the Medicare and Medicaid program through advanced analytics and data visualization solutions.<br>
<br>
Responsibilities:</p><ul><li>
Performs data analysis, interpretation, and reporting duties. Develops rules and methodologies for data collection and analysis.</li><li>
Works with a team to conduct analysis and present findings to our team and customer.</li><li>
Collaborate with leadership and team members to identify solutions to complex challenges.</li><li>
Use critical thinking and exploratory research to understand program rules and how data can provide insights to inform decision making.</li><li>
Utilize analytic skills including ability to efficiently work with large datasets to uncover patterns and trends that are meaningful to program oversight and action.</li></ul><p><br>
Required Skills:</p><ul><li>
Must have at least 3 years of experience conducting analysis of Medicaid claims data and presenting findings.</li><li>
Bachelor of Arts/Bachelor of Science and 5+ years of related experience using technology to conduct analysis and report findings.</li><li>
Experience using SQL, Python, Tableau, Databricks, Snowflake or similar analytic, reporting, and dashboard/visualization tools.</li></ul><p></p><p><br>
Desired Skills:</p><ul><li>
Experience building advanced analytic solutions meeting business challenges through understanding of Medicare and Medicaid policy.</li><li>
Experience building analytics and visualization solutions to detect and prevent fraud, waste, or abuse.</li></ul><br>
<p></p>
</div></div><div><div><div><p>Work Requirements</p></div></div><div></div><div><div>
Years of Experience<div>
5 + years of related experience</div><ul><li>may vary based on technical training, certification(s), <i>or</i> degree</li></ul></div><div></div><div>
Certification</div><p></p><div>
Travel Required<div>
Less than 10%</div></div></div></div></div><div><p>
Salary and Benefit Information</p><div>
The likely salary range for this position is $102,000 - $138,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.<br>
View information about benefits and our total rewards program.</div><p>
About Our Work</p><div>
We are GDIT. A global technology and professional services company that delivers technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.</div><div>
Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</div><div><i>
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</i></div></div></div>

Sr. Healthcare Data Analyst (Medicaid)

Sinai Chicago

<div><p><b>Position Purpose:</b>
</p><p>The Healthcare Data Analyst/Data Engineer supports research, evaluation, and clinical improvement initiatives by managing and analyzing clinical and operational data.
</p><p>This role works closely with the hospital&rsquo;s data analytics and IT teams to access, transform, and analyze data from Epic and enterprise data warehouses. The position is responsible for building analytic datasets, writing SQL queries, validating data, and supporting research projects focused on population and health services research.</p><br>
<p></p><p><b>Key Job Activities:</b>
</p><ul><li>Collaborates with hospital analytics and IT teams to access clinical and operational data from Epic and enterprise data systems.
</li><li>Writes and maintains SQL queries to extract, clean, and transform datasets for research and operational projects.
</li><li>Builds and maintains analytic datasets for population health, clinical intervention, and health service research initiatives.</li>
<li>Performs data validation and quality assurance to ensure accuracy and completeness of datasets.
</li><li>Supports statistical analyses, dashboards, and reports for internal and external stakeholders.
</li><li>Works with research and program teams to translate research questions into data requests and analytic plans.
</li><li>Documents data definitions, extraction logic, and analytic workflows.
</li><li>Assists with integration of data across multiple systems and sources.
</li><li>Supports development of data visualizations and summary reports.
</li><li>Participates in team meetings and project planning related to data and evaluation.
</li><li>Performs other duties as assigned. Education and Work Experience:
</li><li>Bachelor&rsquo;s degree in data science, statistics, computer science, informatics, or a related field.
</li><li>Minimum of 3&ndash;5 years of experience working with healthcare, clinical, or related data.
</li><li>Experience working with Epic data or healthcare enterprise data warehouses.
</li><li>Demonstrated experience writing moderate to complex SQL queries.
</li><li>Experience supporting research, quality improvement, or operational analytics projects preferred.</li></ul><br>
<p>
</p><p><b>Knowledge and Skills:</b>
</p><ul><li>Strong SQL and relational database skills (e.g., SQL Server, Oracle, or similar systems).
</li><li>Knowledge of healthcare data structures such as encounters, diagnoses, procedures, labs, and medications.
</li><li>Experience with data cleaning, validation, and dataset construction.
</li><li>Ability to translate research or operational questions into structured data queries.
</li><li>Strong analytical, problem-solving, and critical thinking skills.
</li><li>Experience with data visualization or analytic tools (e.g., Power BI, Tableau, R, Python) preferred.
</li><li>Experience with statistical software (e.g., SAS, Stata, R)
</li><li>Strong documentation and data management practices.
</li><li>Ability to communicate technical concepts to non-technical audiences.
</li><li>Ability to manage multiple projects and deadlines in a fast-paced environment.</li>
<li>Epic certification or proficiency in reporting or analytics modules (e.g., Clarity, Caboodle, Cogito).
</li><li>Experience with Epic reporting environments (e.g., Clarity, Caboodle, Cogito) preferred.
</li><li>Experience in EPIC and MEDITECH software systems preferred.
</li><li>Certifications/Licenses:
</li><li>Epic certification or proficiency in reporting or analytics modules (e.g., Clarity, Caboodle, Cogito) preferred.</li></ul><br>
<p>
</p><p><b>PHYSICAL DEMANDS:
</b></p><ul><li>While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle or feel; and talk or hear
</li><li>The employee is frequently required to walk and stoop, kneel, or crouch
</li><li>The employee is occasionally required to stand
</li><li>The employee must occasionally lift and/or move up to 25 pounds.
</li><li>Specific vision abilities required by this job include close vision, distance vision, and ability to adjust focus</li><br>
</ul>
<p></p><p><b>WORK ENVIRONMENT:
</b></p><ul><li>General office environment and the noise level in the work environment is usually moderate</li>
</ul><br>
Location: SHS &middot; SHS SHS UHI<br>
Schedule: Full Time, Days, 8am - 5pm</div>

HEALTHCARE DATA ANALYST/DATA ENGINEER

Indiana Regional Medical Center

<div><p>In this role you will:</p>
<ul>
<li>Performance Measures and Regulatory Analytics
<ul><li>Serve as IRMC&rsquo;s analytics subject-matter expert for CMS Hospital IQR and OQR programs, CMS Overall Star Ratings, HCAHPS, AHRQ PSI, NHSN, and Leapfrog Hospital Safety Grade. Monitor specifications, tracking calendars, and method changes; translate technical updates into clear implications for leaders and front-line teams.</li>
<li>Build and maintain robust measure definitions, data dictionaries, and lineage documentation to ensure transparency and reproducibility of all performance metrics.</li>
<li>Produce recurring executive and service-line dashboards (monthly/quarterly) highlighting trends, benchmarks, control limits, variation, and prioritized opportunities, surface leading indicators and predicted performance risk against external public reporting cycles.</li>
<li>Support data for survey readiness and public reporting; validate measure logic and results; coordinate with abstractors, infection prevention, patient experience, and finance/decision support teams to reconcile discrepancies.</li>
</ul></li><li>Data Management and Integration
<ul><li>Design and implement end‑to‑end data collection and analysis plans for quality, safety, regulatory, and patient experience initiatives; establish sampling strategies, inclusion/exclusion criteria, and refresh schedules.</li>
<li>Integrate data from internal systems (electronic health record (HER), data warehouse, incident/event reporting, patient experience platforms, staffing/acuity, pharmacy/antimicrobial stewardship, throughput) and external sources (CMS Compare datasets, Leapfrog submissions/feedback, AHRQ PSI, NHSN, state reporting, payor portals).</li>
<li>Develop sustainable, automated data pipelines using SQL/ETL/Power Query (or equivalent) with version control, data quality checks, and audit trails.</li>
</ul></li><li>Analytics, Statistics, and Visualization
<ul><li>Apply descriptive and inferential statistics (e.g., rates, proportions, CIs, trend and SPC charts, risk adjustment concepts, stratification, small‑n techniques) to transform data into clear information and insight.</li>
<li>Build interactive dashboards and self‑service reports (e.g., Microsoft Power BI or Tableau) with drill‑downs from system level  service line  unit  provider, using color‑blind&ndash;safe palettes and clear annotation.</li>
<li>Partner with PI teams to quantify opportunity, model impact (e.g., baseline vs. target performance, avoidable events, financial implications), and support PDSA cycles with rapid feedback loops.</li>
</ul></li><li>Data Governance, Privacy, and Quality
<ul><li>Apply procedures for data and system management, including HIPAA compliance, minimum necessary, de‑identification where appropriate, access controls, user provisioning, and routine data quality monitoring (completeness, validity, timeliness, consistency).</li>
<li>Lead or support data validation sprints and crosswalks between source systems, extracts, and dashboards; document and remediate data issues.</li>
</ul></li><li>Stakeholder Engagement and Training
<ul><li>Translate complex methodology into practical &ldquo;what it means/what to do&rdquo; for leaders, clinicians, and front-line staff; create one‑page explainer visuals, metric fact sheets, and tip sheets.</li>
<li>Provide just‑in‑time education on measure specifications, SPC interpretation, and dashboard use; coach teams to use data in daily management and huddles.</li>
<li>Collaborate with Finance/Rev Cycle, Case Management, Infection Prevention, Patient Experience, and Nursing/Physician leadership to ensure alignment between clinical, operational, and financial targets.</li>
</ul></li><li>Continuous Improvement and Special Projects
<ul><li>Support/lead analytics for priority PI projects (e.g., HAIs, readmissions, LOS, ED throughput, mortality, harm events, adverse drug events, safety culture).</li>
<li>Evaluate and pilot advanced analytic approaches (e.g., risk stratification, segmentation, simple predictive models) in partnership with IRMC&rsquo;s data engineering/IT teams.</li>
</ul></li><li>Other Core Competencies
<ul><li>Demonstrate understanding of 24/7 hospital operations in an acute care setting, including clinical knowledge.</li>
<li>Organize and prioritize work to meet multiple deadlines and adapt to frequent changes in priority.</li>
<li>Utilize excellent organizational and interpersonal communication skills.</li>
</ul>
</li></ul><p><b>OTHER DUTIES</b></p>
<p>
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.</p>
<p><b>
QUALIFICATIONS</b></p>
<p>
Required:</p>
<ul>
<li>EDUCATION:
<ul><li>Associate degree in Data Analytics, Health Informatics, Biostatistics, Public Health, Computer Science, or related field.</li>
<li>Bachelor&rsquo;s or Master&rsquo;s degree (MPH, MS, MHA with analytics focus) or graduate certificate in healthcare analytics <b>desirable</b></li>
</ul></li><li>EXPERIENCE:
<ul><li>3+ years of progressive analytics experience in a hospital or health system quality/safety environment.</li>
<li>Demonstrated expertise analyzing CMS IQR/OQR measures, CMS Star Ratings, HCAHPS, AHRQ PSI, NHSN, and Leapfrog Hospital Safety Grade (including measure definitions and specifications).</li>
<li>Track record building automated dashboards and producing executive‑ready insights that led to measurable quality/safety/experience improvements.</li>
<li>Experience partnering with abstractors and registries (e.g., core measures, stroke/ACS, sepsis) while personally focusing on analytics vs. chart abstraction.</li>
</ul></li><li>LICENSURE/CERTIFICATION:
<ul><li>Lean, Six Sigma, or combination, yellow belt <b>desirable</b></li>
<li>Certified Professional in Healthcare Quality (CPHQ) <b>desirable</b></li>
<li>Relevant analytics certifications (e.g. Microsoft Power BI Data Analyst Associate) <b>desirable</b></li>
</ul></li><li>Skills:
<ul><li>Proficient with SQL (querying/joining/aggregations), Power BI (or Tableau), Excel (Power Query/Power Pivot), and statistical/visual methods (including SPC).</li>
<li>Familiarity with EHR data models (e.g., Epic Clarity/Caboodle or Meditech/other), data warehousing concepts, and API/flat‑file data exchange.</li>
<li>Solid understanding of risk adjustment concepts, case‑mix normalization, reliability, small‑numbers handling, and suppression rules in public reporting.</li></ul></li></ul></div>

Healthcare Performance Data Analyst - Full Time

Healthix

<div><p><b>JOB TITLE:</b> Data Analyst</p><p><b>
REPORTS TO:</b> Director of Data Strategy and Reporting</p><p><b>
DEPARTMENT:</b> IT</p><p><b>
HOURS:</b> 40 Hours
</p><p><b>FLSA STATUS:</b> Exempt
</p><p><b>SALARY: </b>$90k-125k</p><p></p><p><b><br>
POSITION SUMMARY:
</b></p><p>The Data Analyst provides the foundation for analytics, namely the collection, quality assurance and availability of data. This IT role requires a significant set of technical skills, including a deep knowledge of SQL, SQL database design and multiple programming languages as well as communication skills to understand what data and analysis the healthcare analysts want to gain from Healthix data stores. They are responsible for the maintenance, improvement, cleansing and manipulation of data in the organization&rsquo;s operational and analytics databases. The Data Analyst works with team members to define and build data pipelines to orchestrate the movement, transformation, validation, and loading of data from the source to the final destination &ndash; data stores defined and implemented based on system requirements and data consumer requirements.</p><p><br>
</p><p>Typical tasks performed include working with the data architect on data warehouse design, ensuring data loads quickly, is easily accessible and rapidly comprehensible for analysts/users; extract, transform, and load (ETL) processing; performing thorough testing and validation in order to support the accuracy of data transformations and data verification to ensure correctness and that data is generally reliable for downstream consumption; data bounds checking and database tuning.</p><p><br>
</p><p>The Data Analyst strives to ensure proper data governance and quality for the Data Strategy team and the entire organization. They analyze complex data elements and systems, data flow, dependencies, and relationships to contribute to conceptual physical and logical data models. They work collaboratively within the Data Strategy team, providing support for their data centric needs. The candidate has strong working and conceptual knowledge of database queries multidimensional query and index tuning, monitoring, disaster recovery, backup, automated testing, automated schema migration, and continuous deployment.</p><b><br>
Requirements</b><p><b><br>
Essential Duties and Responsibilities:</b></p><ul><li>
Enhance and streamline data and pipeline architecture to improve data flow and collection.</li><li>
Partner with software developers, database architects, and data analysts to support data initiatives and ensure reliable data delivery.</li><li>
Independently address the data requirements of multiple teams, systems, and products.</li><li>
Refine or redesign Healthix&rsquo;s data architecture to enable next‑generation products and data capabilities.</li><li>
Build and maintain scalable data pipelines and reporting solutions to support growing data volumes, performance and complex queries across Databricks, MS SQL Server, and Intersystems HealthShare.</li><li>
Work with Data Strategy and Business teams to improve data models and increase data accessibility for business intelligence.</li><li>
Implement monitoring processes to safeguard data quality, accuracy, and availability for key stakeholders.</li><li>
Develop queries, support reporting needs, and tailor reporting solutions to enable data‑driven decision‑making.</li><li>
Develop and execute unit and data validation tests while maintaining accurate documentation, perform data analysis to troubleshoot issues, support feasibility assessments, evaluate health outcomes, and resolve data‑related problems.</li><li>
Provide general reporting and project support across the organization.</li><li>
Ensure reporting meets standards for reliability, accuracy, completeness, and compliance.</li><li>
Support the development, ETL processes, and maintenance of company data assets and data models, design data integrations and data quality frameworks.</li><li>
Evaluate open‑source and vendor data‑lineage tools and contribute to long‑term data platform architecture planning across IT and Business teams.</li><li>
Assist in developing an integrated data warehouse to provide a comprehensive healthcare dataset.</li></ul><p></p><p><b>
Supervisory Responsibilities:</b></p><ul><li>
This job has no supervisory responsibilities.</li></ul><p></p><p><b>
Qualifications:</b></p><ul><li>
5+ years of experience in a Data Analyst role, with a graduate degree in Computer Science, Statistics, Healthcare Informatics, Informatics, Information Systems, or a related field. IBM Certified Data Engineer or Google Certified Professional is preferred.</li><li>
Experience with healthcare data, including HL7, CCDAs, MS SQL Server, Databricks, Tableau, Intersystems HealthShare, and Cache databases.</li><li>
Advanced SQL knowledge and experience with relational databases, query authoring, and familiarity with various databases.</li><li>
Proficient in database design principles, including relationships, normalization, structures, indexes, views, and analyzing database requirements.</li><li>
Experience in building and optimizing big data pipelines, architectures, and data sets.</li><li>
Strong analytical skills and experience in performing root cause analysis on data and processes to answer business questions and identify improvement opportunities.</li><li>
Experience in developing processes for data transformation, structures, metadata, dependency, and workload management.</li><li>
Working knowledge of message queuing, stream processing, and scalable big data stores.</li><li>
Proficient in big data tools such as Hadoop, Spark, and Kafka.</li><li>
Experience with relational SQL and NoSQL databases.</li><li>
Strong programming skills with languages like Python, Java, C++, and Scala.</li><li>
Ability to architect end-to-end ETL pipelines.</li><li>
Experience with AWS services and BI tools like Tableau.</li><li>
Strong quantitative, analytical, process development, facilitation, and organizational skills.</li><li>
Excellent documentation and verbal communication skills, with the ability to clearly communicate technical concepts to both technical and non-technical stakeholders.</li></ul><br>
<b>
Benefits</b><p><b><br>
SALARY: </b>$90k-125k</p><p></p><p>
We&rsquo;re committed to supporting our team both professionally and personally. Our benefits include a flexible hybrid work environment, generous paid time off, comprehensive medical, dental, and vision coverage, a 401(k) with company match, commuter benefits, and additional perks designed to support your well-being.</p></div>

Data Analyst

BPO PLUS

<p>We are seeking a detail-oriented <b>Data Analyst with a medical or healthcare background</b> to analyze healthcare data, generate insights, and support data-driven decision-making. The ideal candidate will combine <b>analytical expertise with clinical or medical knowledge</b> to interpret complex healthcare datasets, improve operational efficiency, and support clinical research, patient outcomes, and healthcare performance monitoring.</p><p>Key Responsibilities</p><ul><li>Collect, clean, and analyze healthcare datasets from clinical systems, electronic health records (EHR), and operational databases.</li><li>Develop dashboards, reports, and data visualizations to support healthcare management and clinical teams.</li><li>Interpret medical and clinical data to identify trends, patterns, and actionable insights.</li><li>Collaborate with physicians, researchers, and healthcare administrators to understand data requirements.</li><li>Monitor healthcare KPIs such as patient outcomes, treatment effectiveness, and operational efficiency.</li><li>Support clinical research by preparing datasets and performing statistical analysis.</li><li>Ensure compliance with healthcare data privacy regulations and data governance standards.</li><li>Present findings and recommendations to management in a clear and meaningful way.</li><li>Maintain data quality, accuracy, and documentation for all analytical processes.</li></ul><p>Required Qualifications</p><ul><li>Bachelor&rsquo;s degree in <b>Medicine, Public Health, Healthcare Management, Health Informatics, Statistics, Data Science, or a related field</b>.</li><li>Medical or clinical background (MBBS, nursing, pharmacy, public health, or related healthcare discipline preferred).</li><li>Proven experience in <b>data analysis within a healthcare or medical environment</b>.</li></ul><p>Technical Skills</p><ul><li>Strong knowledge of <b>data analysis tools</b> such as SQL, Excel, Python, R, or SAS.</li><li>Experience with <b>data visualization tools</b> (Power BI, Tableau, or similar).</li><li>Familiarity with <b>Electronic Health Records (EHR) systems</b> and healthcare databases.</li><li>Understanding of <b>healthcare metrics, clinical terminology, and medical datasets</b>.</li><li>Knowledge of <b>statistical analysis methods</b>.</li></ul><p>Soft Skills</p><ul><li>Strong analytical and problem-solving skills.</li><li>Ability to translate complex data into clear insights.</li><li>Excellent communication and presentation skills.</li><li>Attention to detail and high level of accuracy.</li><li>Ability to work collaboratively with clinical and non-clinical teams.</li></ul><p>Preferred Qualifications</p><ul><li>Experience in <b>clinical research, hospital analytics, or healthcare operations analytics</b>.</li><li>Certification in <b>Data Analytics, Health Informatics, or Biostatistics</b>.</li><li>Experience working with <b>large healthcare datasets or population health data</b>.</li></ul><p>Job Types: Full-time, Temporary<br/>Contract length: 4 months</p><p>Pay: QAR16,000.00 - QAR18,000.00 per month</p>

Data Analyst (Medical Background)

<div>
 <strong>
  JOB TITLE:
 </strong>
 Data Analyst
 <br/>
 <br/>
 <strong>
  REPORTS TO:
 </strong>
 Director of Data Strategy and Reporting
 <br/>
 <br/>
 <strong>
  DEPARTMENT:
 </strong>
 IT
 <br/>
 <br/>
 <strong>
  HOURS:
 </strong>
 40 Hours
 <br/>
 <br/>
 <strong>
  FLSA STATUS:
 </strong>
 Exempt
 <br/>
 <br/>
 <strong>
  SALARY:
 </strong>
 $90k-125k
 <br/>
 <br/>
 <strong>
  POSITION SUMMARY:
  <br/>
  <br/>
 </strong>
 The Data Analyst provides the foundation for analytics, namely the collection, quality assurance and availability of data. This IT role requires a significant set of technical skills, including a deep knowledge of SQL, SQL database design and multiple programming languages as well as communication skills to understand what data and analysis the healthcare analysts want to gain from Healthix data stores. They are responsible for the maintenance, improvement, cleansing and manipulation of data in the organization's operational and analytics databases. The Data Analyst works with team members to define and build data pipelines to orchestrate the movement, transformation, validation, and loading of data from the source to the final destination - data stores defined and implemented based on system requirements and data consumer requirements.
 <br/>
 <br/>
 Typical tasks performed include working with the data architect on data warehouse design, ensuring data loads quickly, is easily accessible and rapidly comprehensible for analysts/users; extract, transform, and load (ETL) processing; performing thorough testing and validation in order to support the accuracy of data transformations and data verification to ensure correctness and that data is generally reliable for downstream consumption; data bounds checking and database tuning.
 <br/>
 <br/>
 The Data Analyst strives to ensure proper data governance and quality for the Data Strategy team and the entire organization. They analyze complex data elements and systems, data flow, dependencies, and relationships to contribute to conceptual physical and logical data models. They work collaboratively within the Data Strategy team, providing support for their data centric needs. The candidate has strong working and conceptual knowledge of database queries multidimensional query and index tuning, monitoring, disaster recovery, backup, automated testing, automated schema migration, and continuous deployment.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Essential Duties and Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Enhance and streamline data and pipeline architecture to improve data flow and collection
  </li>
  <li>
   Partner with software developers, database architects, and data analysts to support data initiatives and ensure reliable data delivery
  </li>
  <li>
   Independently address the data requirements of multiple teams, systems, and products
  </li>
  <li>
   Refine or redesign Healthix's data architecture to enable next‑generation products and data capabilities
  </li>
  <li>
   Build and maintain scalable data pipelines and reporting solutions to support growing data volumes, performance and complex queries across Databricks, MS SQL Server, and Intersystems HealthShare
  </li>
  <li>
   Work with Data Strategy and Business teams to improve data models and increase data accessibility for business intelligence
  </li>
  <li>
   Implement monitoring processes to safeguard data quality, accuracy, and availability for key stakeholders
  </li>
  <li>
   Develop queries, support reporting needs, and tailor reporting solutions to enable data‑driven decision‑making
  </li>
  <li>
   Develop and execute unit and data validation tests while maintaining accurate documentation, perform data analysis to troubleshoot issues, support feasibility assessments, evaluate health outcomes, and resolve data‑related problems
  </li>
  <li>
   Provide general reporting and project support across the organization
  </li>
  <li>
   Ensure reporting meets standards for reliability, accuracy, completeness, and compliance
  </li>
  <li>
   Support the development, ETL processes, and maintenance of company data assets and data models, design data integrations and data quality frameworks
  </li>
  <li>
   Evaluate open‑source and vendor data‑lineage tools and contribute to long‑term data platform architecture planning across IT and Business teams
  </li>
  <li>
   Assist in developing an integrated data warehouse to provide a comprehensive healthcare dataset
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Supervisory Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   This job has no supervisory responsibilities
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of experience in a Data Analyst role, with a graduate degree in Computer Science, Statistics, Healthcare Informatics, Informatics, Information Systems, or a related field. IBM Certified Data Engineer or Google Certified Professional is preferred
  </li>
  <li>
   Experience with healthcare data, including HL7, CCDAs, MS SQL Server, Databricks, Tableau, Intersystems HealthShare, and Cache databases
  </li>
  <li>
   Advanced SQL knowledge and experience with relational databases, query authoring, and familiarity with various databases
  </li>
  <li>
   Proficient in database design principles, including relationships, normalization, structures, indexes, views, and analyzing database requirements
  </li>
  <li>
   Experience in building and optimizing big data pipelines, architectures, and data sets
  </li>
  <li>
   Strong analytical skills and experience in performing root cause analysis on data and processes to answer business questions and identify improvement opportunities
  </li>
  <li>
   Experience in developing processes for data transformation, structures, metadata, dependency, and workload management
  </li>
  <li>
   Working knowledge of message queuing, stream processing, and scalable big data stores
  </li>
  <li>
   Proficient in big data tools such as Hadoop, Spark, and Kafka
  </li>
  <li>
   Experience with relational SQL and NoSQL databases
  </li>
  <li>
   Strong programming skills with languages like Python, Java, C++, and Scala
  </li>
  <li>
   Ability to architect end-to-end ETL pipelines
  </li>
  <li>
   Experience with AWS services and BI tools like Tableau
  </li>
  <li>
   Strong quantitative, analytical, process development, facilitation, and organizational skills
  </li>
  <li>
   Excellent documentation and verbal communication skills, with the ability to clearly communicate technical concepts to both technical and non-technical stakeholders
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <strong>
  SALARY:
 </strong>
 $90k-125k
 <br/>
 <br/>
 We're committed to supporting our team both professionally and personally. Our benefits include a flexible hybrid work environment, generous paid time off, comprehensive medical, dental, and vision coverage, a 401(k) with company match, commuter benefits, and additional perks designed to support your well-being.
</div>


Search 10000+ Healthcare data analyst jobs near you this March. New roles added regularly across leading industries. Apply today.

10000 healthcare data analyst jobs Near Me

Healthcare Data Analyst

Sr. Healthcare Data Analyst (Medicaid)

HEALTHCARE DATA ANALYST/DATA ENGINEER

Healthcare Performance Data Analyst - Full Time

Data Analyst

Data Analyst (Medical Background)

Data Analyst