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Working experience using quantitative software and database querying tools (e.g., SAS, SQL, Python). The Sr Credit Risk Analyst plays a crucial role in shaping and implementing risk analytics and monitoring for BECU Credit Card and Other Unsecured lending portfolios.
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Proficient in project software such as SAS/SQL, Python/PySpark, Snowflake, R, Databricks CMS cloud environments. Manipulates and extracts Medicare, Medicaid, and other healthcare claims data stored in Cloud environment using appropriate software such as SAS, Snowflake, Python, R, SQL, and other software as appropriate for the task.
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Utilization of analytical tools including SQL, SAS, SPSS, and/or open-source including Python and R, or similar. Deep familiarity with HEDIS & CMS care quality measures; experience implementing both HEDIS and CMS measures using SAS and/or SQL.
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DB: SQL Server, DB2, (SQL), Mainframe IMS/VSAM, In-Memory DB, NoSQL. Analytics: Python, R, SAS, SPSS. Individually satiates all new BI work demand while replacing Cognos with Microsoft Power BI to deliver interactive reports, cubes, real-time dashboards and scorecards (forecast and actuals.
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Builds complex models for specific analysis using technology such as Python (Python, PySpark), R, SQL, SAS, Databricks. Confidence in merging disparate datasets, INNER/LEFT/RIGHT joins, and functions such as COALESCE(), CAST(), SAS functions such as SUBSTR(), LAG(), PROC SQL.
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Proficient in project software: SAS/SQL, Databricks, Python, Spark languages/technologies Excel, Word, PowerPoint, Business Objects, and Outlook. Use SAS/SQL, Databricks, Python, Spark; other software as appropriate to task.
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Senior Statistician provides expert witness testimony and consultation for ALJ (Administrative Law Judge) hearings. Senior Statistician works independently and collaboratively with the team to provide analytical data support utilizing statistical software.
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Must have expertise in SAS/BASE, SAS/MACRO, SAS/STAT, SAS/GRAPH, SAS/ACCESS, SAS/ODS, SAS/SQL. Must have expertise of R programming as well as SAS Base, and good knowledge of SAS graph and SAS Macros.
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By leading discovery and measurement of risks, youll ensure adherence to credit union governance standards and play a key role in creating, implementing, and maintaining Credit Risk Management reporting and analytic frameworks.
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Perform ad-hoc data analysis using Excel, SAS, SQL (Databricks). Experience with forecasting, modeling, SQL (Databricks experience is a plus) Perform ad-hoc data analysis using Excel, SAS, SQL (Databricks.
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In addition, this role leads value-based contracting (VBC) workflows to include evaluation and forecasting of full and partial risk arrangements between NeueHealth affiliated providers and payors from multiple LOBs (Commercial, Medicare Advantage, Medicaid, etc.
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Proficient in Microsoft Excel (VBA, advanced data visualization, etc.) Working knowledge of the CMMI Direct Contracting or Accountable Care Organization (ACO) program(s) Lead quarterly medical expense analysis, IBNR / Reserving (monthly), and forecasting process, with assistance from actuarial analyst staff.
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Proficiency in SQL and familiarity with statistical software (e.g., R, SAS). Cultivate and manage intricate SQL databases to facilitate data analysis and reporting. Leverage statistical software and SQL expertise to extract, manipulate, and analyze data effectively.
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Configuring database / data source connectivity with applications like Oracle, Exadata, SQL, SAS, EPIC, etc. Configuring database / data source connectivity with applications like Oracle, Exadata, SQL, SAS, Epic, etc.
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Installation and configuration of database drivers and connectivity, including Oracle, SQL Server, Hive, etc. Familiar with security configurations, such as Service Accounts, AD Groups, Redhat Linux, Kerberos key settings, and PAM/CyberArk and encryption of credentials and firewall connectivity.
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