EXL

Senior Manager, Healthcare Analytics

EXL

full-time

Posted on:

Location Type: Hybrid

Location: New York City • New York • 🇺🇸 United States

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Salary

💰 $170,000 - $173,000 per year

Job Level

Senior

Tech Stack

AzureCloudHadoopPySparkPythonSQLTableau

About the role

  • Lead senior and junior data scientist team to create models for a variety of healthcare-related solutions.
  • Participate in the development, validation and delivery of algorithms, statistical models and reporting tools using healthcare data.
  • Solve complex analytical problems with healthcare domain knowledge and strong technical background.
  • Develop, validate and execute algorithms and predictive models to investigate problems, detect patterns and recommend solutions.
  • Explore, examine and interpret large volumes of data in various forms.
  • Perform analyses of structured and unstructured data to solve complex business problems utilizing advanced statistical techniques and mathematical analyses.
  • Develop data structures and pipelines to organize, collect and standardize data that help generate insights and address reporting needs.
  • Use data visualization techniques to effectively communicate analytical results and to support business decisions.
  • Create and evaluate the data needs of assigned projects and assure the integrity of the data.
  • Document projects including business objectives, data gathering and processing, detailed set of results and analytical metrics.

Requirements

  • Requires a Master’s degree, or foreign equivalent, in Economics, Statistics, Data Science, Epidemiology, or a directly related field plus three (3) years of experience in Programming and analytic experience in study design and methodologies within healthcare domains.
  • Must have two (2) years of experience in each of the following: Healthcare domains and healthcare data (e.g. claims, EHR, etc);
  • R, Python, SAS, Pyspark, SQL, Advanced MS Excel, and Tableau;
  • Hadoop, Azure, or Databricks;
  • Applying econometrical/psychological/sociological research methods such as survey design, experimental design, causal inference to healthcare analytics;
  • Cloud computation with healthcare data;
  • Working with healthcare large data sets from multiple data sources;
  • Data modeling, machine learning algorithms, statistical analysis, data engineering and data visualization;
  • Handling client requests, requirements and challenges in healthcare domains;
  • Bridging clinical team and data team for various healthcare projects.
  • Employer will also accept a doctorate degree plus two (2) years of experience in the Programming and analytic experience in study design and methodologies within healthcare domains in lieu of a Master’s degree plus three (3) years of experience in the Programming and analytic experience in study design and methodologies within healthcare domains.
Benefits
  • Telecommuting is permitted.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
RPythonSASPysparkSQLAdvanced MS ExcelTableauData modelingMachine learning algorithmsStatistical analysis
Soft skills
Problem solvingAnalytical thinkingCommunicationCollaborationDocumentation
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