| Required Healthcare Data Analyst in Fairfield, CA -NO H1B at Fairfield, California, USA |
| Email: [email protected] |
| From: Pankaj, kpg99 [email protected] Reply to: [email protected] Hi, Hope you are doing well. Please find the job description below and let me know your interest. Position: Healthcare Data Analyst Location: Fairfield, CA Duration: 6+ Months Mode of Interview: Phone and Video Job Description: REQUIRED SKILLS Tech skills: Any BI tool (Tableau ideal), SAS, SQL(any language would work, R, Python,etc.) -need to be able to code, data integrations, create data sets for reporting Ability to understand/analyze the data Create dashboards/visualization Minimum four (4) years of experience in data analysis and reporting. Knowledge of major health plan operations: healthcare claims processing, Duties/Day to Day Overview The Senior Healthcare Data Analyst I contributes to the overall success of the organization by developing analytic solutions that support activities related to health services utilization management, care coordination, quality improvement and population health. Through analyzing patient claims, member enrollment, and other data, the Senior Healthcare Data Analyst participates in identifying progress, performance and opportunities for improvement on programs, quality of care, patient experience, and other metrics. Works collaboratively with business partners, other analysts, and IT to gather and integrate data from disparate sources. Responds to ad hoc data requests from business units and leadership Assists in design and development of data collection strategies, aggregation, analysis, and reporting to ensure data integrity and enhance information value. Participates in design and interpretation of data analyses; provides recommendations for improvement of data quality and reporting. Helps build, manage, and/or enhance predictive models Assesses reporting and automation requirements and develops appropriate solutions. Maintains in-depth knowledge of health plan operations, including claims processing, utilization management, quality improvement activities and pay for performance programs. Critically analyzes data, draws conclusions and effectively articulates results. Presents data and conclusions to non-technical audience; uses data visualizations and summaries to highlight key findings. Creates and maintains thorough and consistent documentation of programs used to create reports. Manages and prioritizes workload while meeting deliverables and expectations. - Works autonomously and collaboratively with report requestors, providing guidance to define report requirements and validate results. Works collaboratively across departments to understand and meet the organizations analytic needs Top Requirements (Must haves) This position requires a thorough understanding of healthcare data and workflows, combined with an extensive experience working with large data sets, conducting data analysis, including standard statistical software (SAS), and creating reports using Tableau. Bachelors degree with concentration in health informatics, health administration, public health, computing, epidemiology, statistics or related field, Masters degree preferred. Tech skills: Any BI tool( tableau ideal), SAS, SQL( any language would work, R, Python,etc.) -need to be able to code, data integrations, create data sets for reporting Ability to understand/analyze the data Create dashboards/visualization Minimum four (4) years of experience in data analysis and reporting. Knowledge of major health plan operations: healthcare claims processing , membership, provider, and benefits; or equivalent combination of education and experience. Excellent knowledge of data collection, analysis, statistics and data presentation with experience in data mining techniques and procedures. Experience using statistical packages for analyzing large data sets, SAS and/or SQL a plus. Experience working with administrative data, ideally health care data (Medicaid data a plus). Understanding of health data formats including claims, lab and pharmacy. Knowledge of clinical coding systems (e.g., ICD9, ICD10, CPT). Proficiency in inferential and predictive statistical analysis. MS Office, Excel, SQL, SAS, Tableau. Ability to present complex information in an understandable and compelling manner Keywords: business intelligence active directory rlang information technology microsoft California |
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| Sat Feb 03 02:16:00 UTC 2024 |