10 days old
2018-01-112018-02-08

Data Science Analyst

New York, NY 10017
  • Job Code
    549432

Data Science Analyst will work collaboratively with stakeholders from across the organization to develop sophisticated analytics to provide information, insights and BI (Business Intelligence) solutions that contribute to sound strategic planning, decision-making, goal setting, and effective performance measurement. As part of the Population Health Analytics Team, you'll expand your understanding of the healthcare domain, deepen your technical data manipulation and analytic development skills and impact the patient community.


As part of your responsibilities, you will:


Analyze issues using enrollment, claims, pharmacy, clinical, contract, medical management, financial, administrative and other corporate data from both modeled and disparate internal and external sources.



  1. Work with departmental staff to identify requirements for reporting and / or business intelligence tools.
  2. Identify necessary data, data sources and methodologies.
  3. Collect, organize, integrate, analyze and interpret data.
  4. Leverage advanced statistical analysis methods to create insightful recommendations and conclusions that you effectively communicate to your stakeholders.
  5. Identify and address expected and unforeseen data complexities to mitigate their impact on the analytic outcome and associated business decisions. Clearly communicate data issues to the recipients and work to improve data quality where possible within the analytical models you create. Feed data quality issues back to IT or identified data stewards to assist in our quest for high quality data.
  6. Develop and present reports, analyses and findings to senior management and others as scheduled or requested.


You will work with at least one of these stakeholder groups


Contracting and Commercialization - helping to model and forecast contract scenarios, measure ongoing performance and identify trends in performance to inform our clinical or contracting staff to improve contract outcomes.


Care Management - helping to identify, understand and prioritize our at-risk members in need of care management. Help stratify our membership to optimally use resources to focus on the patients most in need, either currently or in the future.


Medical Directors - helping to identify utilization trends and variations across the different categories of health care services to assist the medical directors to focus their efforts to maximize contract performance and clinical effectiveness.


Quality and Documentation - helping to link payer quality and documentation opportunities into operational analytic processes to maximize our quality scores, top line revenue and optimize the use of resources in concert with our contracts.


Act as liaison/analyst for internal stakeholders, understand their needs and translate them into reporting and analytic solutions.


Effectively communicate with your stakeholders and customers and ensure all requests are properly triaged, recorded and tracked.


Adhere to 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, and financial modeling to gain member/provider insight into new and existing processes and business opportunities.


Work closely with IT on the ongoing improvement of Client's integrated data warehouse, driven by strategic and business needs, and designed to ensure data and reporting consistency throughout the organization.


Develop and maintain project work plans, including critical tasks, milestones, timelines, interdependencies and contingencies. Track and report progress. Keep stakeholders apprised of project status and implications for completion.


Provide technical support to data analytics functions as they relate to varied business units, and technical expertise on the selection, development and implementation of various reporting and BI tools tied to business unit reporting requirements. Create new BI reports and interactive dashboards as required.


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.


Requirements for this position include:



  • Minimum of BA/BS degree in a relevant field of study; Master's degree preferred.
  • At least two (2) years of analytics development experience for a health provider, health plan or accountable care organization including either:


    • Working knowledge of a health care EMR such as Epic/Clarity, eCW, etc.; a payer claims system such as Facets, Amisys, etc.; or a hospital/provider billing system such as Idx, Soarian, etc.
    • Knowledge of New York State Medicaid and CMS Medicare regulations and related reporting requirements such as STARS, QARR, MMCOR, MEDS, RAPS and HEDIS a real plus.
    • Experience working in health plan or consulting actuarial, financial reporting or medical economics departments highly valuable.
    • Experience as a nurse informaticist highly valuable.
    • Experience working in healthcare provider analytics related to revenue modeling, managed care contracting, population management, case management, clinical or financial decision support,
    • Strong data mining skills using tools like SQL, R, Python, SAS, Java/MapReduce, Aster, etc.

  • 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 methods.
  • Strong working knowledge of Business Intelligence products such as Tableau, Information Builders, Dimensional Insights, SAP/Business Objects, SAS, MicroStrategy, etc.
  • General understanding of ETL tools like SSIS, Data Stage, PowerCenter, 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 health care data.
  • Ability to think creatively; demonstrated excellent problem solving skills.
  • Excellent oral and writing skills characterized by the ability to communicate effectively with varying audiences.
  • Demonstrated ability to articulate goals, plan and implement processes to achieve those goals, recognize and assess the implications of confounding variables, anticipate consequences, and meet deadlines.
  • Advanced interpersonal (e.g., mediating, mentoring, teaching) skills required to service internal and external clients effectively, and manage relationships and activities that are diverse and complex.
  • Self-motivated and resourceful, with a demonstrated ability to think and work independently, and to exercise independent judgment in originating or developing complex techniques or programs in a complex and dynamic environment.
  • High level of integrity as demonstrated by 1) appropriate treatment of confidential or protected health information, 2) adherence to policies, procedures, rules, and regulations, 3) professional conduct in dealing with persons internal and external to the organization, and 4) sensitivity to populations served by the organization.

Categories

  • Information Technology

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Data Science Analyst

Randstad Technologies
New York, NY 10017

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