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Location:Tysons, VA (Hybrid) with some remote work·Work Authorization:EAD, Green Card or ·Work Type:Full Time Responsibilities include, but are not limited to: Gathering and cleaning HR data from various sources, such as HRIS, ATS, surveys, and external benchmarksPerforming descriptive, inferential, and predictive analysis using statistical methods and tools, such as Excel, SQL, R, Python, Power BI, Tableau, etc.
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Hands-on experience with analytical tools of the trade, including but not limited to MySQL, Python, R, MatLab, and BigQuery. Fluency in BI and visualization tools like Tableau, DOMO, or Looker.
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Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau.
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E.g. SQL, Base SAS, R, Python, etc.) Experience with one or more data visualization software packages (e.g., Tableau, Microsoft BI, Qlik, etc.) Description The Senior Data Analyst will actively engage in the process of turning raw data into useful information by developing and maintaining the core institutional data sets that support the work of the broader office and the Vice President of IR&A. Consideration will be given to candidates with advanced technical skills in data manipulation, excellent problem-solving skills, and demonstrated ability to communicate effectively and to work with others collaboratively.
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Experience with SQL, building dashboards, data transformation and analysis tools (ie Python, R) Experience with data visualization tools (e.g., Databricks, QuickSight, Power BI.
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This position requires expertise in utilizing the Manhattan SCALE database, SCI platform, as well as proficiency in SQL, Python, and/or R programming languages. Strong programming skills in Python, R, or other languages for statistical analysis, machine learning, and automation.
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Experience with data analysis tools and programming languages (e.g., Python, R, SQL) preferred. Must have familiarity with data visualization tools (e.g., Tableau, Power BI.
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Experience within Quality Analytics, HEDIS or Medicare Star Proficiency in any of the following analytics tools: SQL, SAS, Alteryx, R, Python, Tableau, Power BI, CognosKnowledge, Skills and AbilitiesStrong ETL knowledge in a data warehouse ecosystem.
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The incumbent provides analysis in the develop and support of HEDIS and Medicare Star data analysis. Provide business process, system support and data quality governance through data coordination and integration to ensure efficient processes and consistent data flows to business and stakeholders.
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Clean, validate, and preprocess data to prepare it for analysis using statistical software and programming languages such as SQL, Python, or R. •Perform descriptive and inferential statistical analyses to identify trends, patterns, and correlations in healthcare data.
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Strong programming skills in SQL, Python, R, or other relevant languages. Preferred Qualifications: •Experience with data visualization tools such as Tableau, Power BI, or QlikView.
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Position Title: Data Analyst Job Description: UMC Physicians is seeking a talented and detail-oriented Data Analyst to join our healthcare team. The Data Analyst will play a key role in improving patient outcomes, optimizing operational efficiency, and supporting strategic decision-making within the organization.
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Minimum of two years of experience as a data analyst, preferably in a healthcare setting. Familiarity with healthcare data standards and regulations such as HIPAA, HL7, and Meaningful Use. •Experience with healthcare databases and data warehousing concepts (, SQL Server, Oracle, Hadoop.
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Demonstrated ability to tell stories using dataSolid working experience with SQL and relational database designProgramming skills using Python, R, etc. Four years direct experience using technical and analytical skills to extract, integrate, layout and interpret complex and disparate data sourcesDemonstrated experience using data visualization tools such as Microsoft Power BI, Tableau, etc.
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What we're looking for Six (6) or more experience in data analysis tools and programming languages such as SQL, Python, R, and SAS. Familiarity with data visualization tools like Tableau, Power BI, or similar.
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bi analyst python r jobs Title: data analyst
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