Lead Data Science Analyst Loc:New York City, NY
100,000 - 200,000
Job Description:
Role:- Lead Data Science Analyst
Loc:New York City, NY
- Be the primary liason/analyst for our most complex and critical business stakeholders to understand their needs and translate them into reporting and analytic solutions.
- Be responsible to effectively communicate with your stakeholders and customers and ensure all requests are properly triaged, recorded and tracked.Analyze issues using enrollment, utilization, clinical, medical management, financial and other corporate data, and information from both modeled internal data as well as disparate internal and external sources.
- Work with departmental staff to identify requirements for reporting and / or business intelligence tools.
- Identify necessary data, data sources and methodologies.
- Collect, organize, integrate, analyze and interpret data.
- Leverage advanced statistical analysis methods to create insightful recommendations and conclusions that you effectively communicate to your stakeholders.
- Identify and address expected and unforeseen data complexities to mitigate their impact on the analytic outcome and associated business decisions.
- Clearly communicating data issues to the recipients and working to improve data quality where possible within the analytical models you create.
- Feeding data quality issues back to the Data Management team to assist in our quest for high quality data.
- Develop and present reports, analyses and findings to senior management and others as scheduled or requested.
- Participate in developing corporate standards for performance metrics, data collection, data integrity, query design, and reporting format to ensure high quality, meaningful analytic output.
- Help identify and understand data from internal and external sources for competitive, scenario and performance analyses, financial modeling, and to gain member/provider insight into new and existing processes and business opportunities.
- Work closely with the Data Management team on the ongoing improvement of Affinity s integrated data warehouse, driven by strategic and business needs, and designed to ensure data and reporting consistency throughout the organization.
- Establish and maintain project work plans, including critical tasks, milestones, timelines, interdependencies and contingencies.
- Track and report progress. Keep management apprised of project status and implications for completion.
- Provide technical leadership and support to data analytics functions, as they relate to varied business units.
- Provide technical expertise on the selection, development and implementation of various reporting and BI tools tied to specific business unit reporting requirements.
- Create new BI reports and interactive dashboards as required.
- Participate in design discussions to ensure common vocabularies and other data representations that will support requirements for analytics, business intelligence and governmental regulations.
- Participate in data modeling, data quality control, master data management and data governance activities to support data repositories and data sharing initiatives.
- Prepare clear, well-organized project-specific documentation, including, at a minimum, analytic methods used, key decision points and caveats, with sufficient detail to support comprehension and replication.
- Ensure customers are adequately trained to use self-service BI tools and dashboards.
- Assist and teach others within the organization on how to a) define meaningful process and performance measures, b) develop BI queries, and c) generate and use management reports effectively.
- Share development and process knowledge with other analysts in order to assure redundancy and continuously build a core of analytical strength within the organization.
- Demonstrate proficiency with the principles and methodologies of process improvement.
- Apply these in the execution of responsibilities in support of a process focused approach.
- At least five (5) years of analytics development experience for a health plan or managed care organization including either:
- Working knowledge of health care claims systems such as Facets, QNXT, Amisys, or similar systems.
- Extensive experience working in health plan actuarial, financial reporting or medical economics departments.
- Extensive experience working in healthcare provider analytics related to revenue modeling, managed care contracting, population management, case management, clinical or financial decision support,PhD, MD or DO program may be substituted for 3 years of experience
- Strong working knowledge of Business Intelligence products such as Tableau, SAS, or MicroStrategy.Strong analytical skills, with the ability to perform complex analysis and make recommendations based on statistical inferences.
- Experience with and an understanding of a wide variety of analytical or statistical methodsStrong data mining skills using tools like SQL, R, SAS, MapReduce, Aster, etc
- Advanced analytical, financial and technical skills needed to perform complex analysis and data modeling using sophisticated report writing and data management tools.
- Ability to exercise critical thinking and logical reasoning, and understand the conceptual framework and database relationships underlying managed care reporting.
Ability to think creatively
- Demonstrated excellent problem solving skills.
- Ability to manage multiple projects simultaneously.
- Demonstrated ability to provide guidance to junior staff members, and supervision of other personnel on major project enhancements and project work.
- Appropriate treatment of confidential information,
- Adherence to policies, procedures, rules, and regulations,
- Professional conduct in dealing with persons internal and external to the organization,
- Sensitivity to populations served by the organization.