• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 26th Mar 2022

The Sr. Data Analyst is part of a team that improves the quality of care delivered in a variety of settings, including hospitals, outpatient clinics, nursing homes, ESRD centers, and managed care plans.

Regular work will include collecting and reviewing data, developing analytic approaches, producing reports and dashboards, and conducting root-cause analyses.

    Helps business users create optimal business requirements by exploring data and analytic alternatives and guiding users to the most cost-effective and efficient approach to meeting their needs.
    Translates internal/external client business requirements into actionable instructions for meeting client needs.
    Designs analytics (reports, dashboards, models) to respond to very complex requests.
    Develops advanced quantitative approaches (drawing on a range of methodologies) to address client needs.
    Performs strategic data mining and research to identify opportunities for improvement and otherwise support business needs.
    Conducts complex statistical analyses (e.g., regression analysis, predictive modeling).
    Creates documentation (such as code detail, report specifications, narrative backup, and metadata) for all outputs.
    Projects will leverage advanced analytic approaches, including regression analysis, ROI measurement, predictive modeling, machine learning, and more.

Must Have Skills:

    Bachelor’s Degree in analytical, technical, or scientific field (data science, computer science, engineering, mathematics, physics, machine learning, statistics, public health)
    Experience working with healthcare data and large datasets
    Experience with advanced analytic techniques (e.g., complex trend and benchmark comparisons, data mining, complex visualizations) and standard statistical ability (e.g., t-tests, control charting, regression analysis, forecasting).
    Strong problem-solving skills and ability to understand business problems, transform high volumes of complex data into advanced analytic solutions.
    Need to have hands-on experience with SQL & SAS – Data Management, Analytics, programming and/or tools
    At least 4+ years of technical experience including:
        Data Mining and Mapping
        Strong knowledge of relational database management and programming
            Must have experience with advanced queries and data structures
            Programming or scripting skills in SAS, Python, R, SQL
        Data management tools
            (e.g., SAS, Matillion, Python)
        Experience with BI visualization tools and reporting packages
            (e.g., Tableau, Power BI, ideal)
        Presentation tools
            (e.g., MS Word, MS PowerPoint)
    Demonstrated communication capabilities using tables, graphs, interactive dashboards and written reports that can be easily received by technical and non-technical stakeholders.  

Nice To Have Skills

    Statistical programming experience in SAS, R, or SPSS a big plus.
    Hands-On ETL experience nice to have
    Specific Healthcare experience or knowledge of:
        Quality Measures
        Payors
        Electronic Health Records
        Patient Self-Reported Data
        CMS/Medicare/Medicaid requirements