Healthfirst
Senior Technical Analyst, Care Management
Healthfirst, Granite Heights, Wisconsin, United States
Senior Technical Analyst, Care Management
Join to apply for the Senior Technical Analyst, Care Management role at Healthfirst. The Senior Technical Analyst is responsible for the promotion and enablement of a data‑driven culture within Healthfirst Operations. The analyst leverages analytics to provide insights that support key decisions and achieve successful outcomes across the department and the organization. Responsibilities
Leverage leading analytical tools to generate insights that facilitate key decisions by department leadership. Develop repeatable analytics aimed at department and executive leadership that provide insights into the health and performance of the department. Use available data to develop preventative and detective controls ensuring timeliness, accuracy, and completeness of business processes. Contribute to the design and architecture of data models and dashboards used to retain and present key information to the business; identify downstream impacts of changes and enhancements. Assist with development and execution of highly complex algorithms and statistical predictive models from large sets of data. Determine analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes. Infer data to make recommendations and decisions. Develop repeatable ETL processes from source systems to analytics sandbox, ensuring data integrity, completeness, and accuracy. Perform statistical analysis to quantify the limitations of models. Develop and improve metrics that evaluate department performance. Think critically about the business and how the work is performed; identify opportunities to improve the status quo, inject data into the decision‑making process, and support progress with facts. Serve as a trusted contact for internal department members or other departments, working with the business to define methodologies that directly address concerns and deliver results. Analyze and reconcile premium revenue and remittance status, accounting for rate changes across all product lines; support and report account receivables sub‑ledger aging and collections. Review, analyze and create detailed documentation reports to support department processes. Anticipate and solve strategic and high‑risk business problems with broad impact by investigating problems, detecting patterns and recommending solutions. Communicate new knowledge and insights gained from analysis of big data. Transfer knowledge and concepts to the team implementing the system. Partner with IT and business teams to solve problems, develop new algorithms and models, and identify trends and opportunities. Minimum Qualifications
Bachelor’s degree from an accredited institution or equivalent work experience. Proficiency in scripting and programming skills. Experience using MS Office suite, including Microsoft Access, Excel, and Word. Expertise in utilizing data analysis and query tools such as SQL. Experience with Alteryx, Tableau, Amazon Redshift, or other similar tools/platforms. Experience with applied statistics skills such as distributions, statistical testing, regression. Ability to run queries from a data warehouse. Expertise in innovating and implementing audit techniques. Preferred Qualifications
Master’s degree from an accredited institution. Degree in Mathematics, Computer Science, Data Sciences, Engineering, Business Analytics, Informatics, or similar. Experience with analytical programming techniques such as Python and R. Experience with AWS and analytical solutions available on the platform (Redshift, Glue, SageMaker, etc.). Experience with data visualization tools such as Tableau. Familiarity with programming in JavaScript, D3.js. Familiarity with big data technologies such as Hadoop, MapReduce, and AWS Kinesis. Experience developing innovative solutions to complex problems. Advanced problem‑solving skills and ability to make critical, independent decisions within area of responsibility. Excellent communication and time‑management skills. Experience working with and communicating technical information to multiple levels of technical and non‑technical staff. Experience prioritizing a heavy workload in a fast‑paced environment. Knowledge of modern machine learning algorithms (clustering, classification, regression), statistical methods and optimization. Knowledge of health‑care industry, products, systems, business strategies and products. Hiring Range
Greater New York City Area (NY, NJ, CT): $81,100 – $117,470 All other locations: $71,600 – $106,505 In addition to salary, Healthfirst offers a full range of benefits such as medical, dental, vision coverage, incentive and recognition programs, life insurance, and 401(k) contributions (subject to eligibility).
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Join to apply for the Senior Technical Analyst, Care Management role at Healthfirst. The Senior Technical Analyst is responsible for the promotion and enablement of a data‑driven culture within Healthfirst Operations. The analyst leverages analytics to provide insights that support key decisions and achieve successful outcomes across the department and the organization. Responsibilities
Leverage leading analytical tools to generate insights that facilitate key decisions by department leadership. Develop repeatable analytics aimed at department and executive leadership that provide insights into the health and performance of the department. Use available data to develop preventative and detective controls ensuring timeliness, accuracy, and completeness of business processes. Contribute to the design and architecture of data models and dashboards used to retain and present key information to the business; identify downstream impacts of changes and enhancements. Assist with development and execution of highly complex algorithms and statistical predictive models from large sets of data. Determine analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes. Infer data to make recommendations and decisions. Develop repeatable ETL processes from source systems to analytics sandbox, ensuring data integrity, completeness, and accuracy. Perform statistical analysis to quantify the limitations of models. Develop and improve metrics that evaluate department performance. Think critically about the business and how the work is performed; identify opportunities to improve the status quo, inject data into the decision‑making process, and support progress with facts. Serve as a trusted contact for internal department members or other departments, working with the business to define methodologies that directly address concerns and deliver results. Analyze and reconcile premium revenue and remittance status, accounting for rate changes across all product lines; support and report account receivables sub‑ledger aging and collections. Review, analyze and create detailed documentation reports to support department processes. Anticipate and solve strategic and high‑risk business problems with broad impact by investigating problems, detecting patterns and recommending solutions. Communicate new knowledge and insights gained from analysis of big data. Transfer knowledge and concepts to the team implementing the system. Partner with IT and business teams to solve problems, develop new algorithms and models, and identify trends and opportunities. Minimum Qualifications
Bachelor’s degree from an accredited institution or equivalent work experience. Proficiency in scripting and programming skills. Experience using MS Office suite, including Microsoft Access, Excel, and Word. Expertise in utilizing data analysis and query tools such as SQL. Experience with Alteryx, Tableau, Amazon Redshift, or other similar tools/platforms. Experience with applied statistics skills such as distributions, statistical testing, regression. Ability to run queries from a data warehouse. Expertise in innovating and implementing audit techniques. Preferred Qualifications
Master’s degree from an accredited institution. Degree in Mathematics, Computer Science, Data Sciences, Engineering, Business Analytics, Informatics, or similar. Experience with analytical programming techniques such as Python and R. Experience with AWS and analytical solutions available on the platform (Redshift, Glue, SageMaker, etc.). Experience with data visualization tools such as Tableau. Familiarity with programming in JavaScript, D3.js. Familiarity with big data technologies such as Hadoop, MapReduce, and AWS Kinesis. Experience developing innovative solutions to complex problems. Advanced problem‑solving skills and ability to make critical, independent decisions within area of responsibility. Excellent communication and time‑management skills. Experience working with and communicating technical information to multiple levels of technical and non‑technical staff. Experience prioritizing a heavy workload in a fast‑paced environment. Knowledge of modern machine learning algorithms (clustering, classification, regression), statistical methods and optimization. Knowledge of health‑care industry, products, systems, business strategies and products. Hiring Range
Greater New York City Area (NY, NJ, CT): $81,100 – $117,470 All other locations: $71,600 – $106,505 In addition to salary, Healthfirst offers a full range of benefits such as medical, dental, vision coverage, incentive and recognition programs, life insurance, and 401(k) contributions (subject to eligibility).
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