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Data Analyst Healthcare Experience Remote Work

  • ... PRIMUS Global Services Inc
  • ... Dallas, Texas, United States
  • ... Full time
  • ... Salary: Not Available
  • Posted on: Jun 27, 2024

Data Analyst Healthcare Experience Remote Work   

JOB TITLE:

Data Analyst Healthcare Experience Remote Work

JOB TYPE:

Full-time

JOB LOCATION:

Dallas Texas United States

No

JOB DESCRIPTION:

Data Analyst Healthcare Experience - REMOTE WORK - 55869

Pay Range - $25 - $30/hr

We have an immediate long-term opportunity with one of our prime clients for a position Data Analyst Healthcare Experience to work on Remote basis.

Required Skills

Fluent in SQL and R/Python Minimum 2 years data analysis in health care experience applying causal inference methodologies required

Additional Skills

Experience with medical and/or pharmacy claims data preferred Applied statistical skills including regression modeling, longitudinal analysis (including mixed models), data mining, and multiple testing strategies is preferred

Overview

AbleTo is the leading provider of high quality, technology-enabled behavioural health care. Able to believes that everyone deserves access to high quality care, and offers a suite of technology-enabled services to empower people to lead better lives through better mental health. A proprietary platform connects individuals with Able to highly trained licensed providers who deliver weekly sessions by phone or video supported by an integrated digital experience. Members also have access to mental health coaches, and digital support programs. Clinical best practices are leveraged across all services to ensure individuals are getting the care they need. Our outcomes-focused care is proven to improve depression and anxiety by over 50% on average, as demonstrated in several peer-reviewed studies. For patients with high cost medical conditions, our clinically-tailored treatment is proven to reduce medical costs with care that empowers the patient to address their health needs. Able to partners with payers to make high-quality care accessible, affordable and convenient for millions of people to get the treatment they need.

Data is integral to nearly everything that we do at Able To, and as a result the analytics team plays a key role at our company. You should understand the causal inference framework and methodology and be able to apply it for your analysis. You should be excited to work with data, have the curiosity to dive deeply into issues, and feel empowered to make a meaningful impact at a mission-driven company. You will be a critical business partner to operational leaders at AbleTo, helping them to analyze the impact of AbleTo programs and provide insights on the populations that engage with AbleTo. Ideal candidates will provide guidance on designing studies, statistical methods, analyses, interpretation, and reporting study outcomes. This position reports to the Sr. Manager of Advanced Analytics.

Position Requirements

  • You hold a BS/BA degree in a quantitative field (graduate degree in statistics, epidemiology, biostatistics, economics, public health, and relevant quantitative fields preferred), or equivalent work experience
  • Minimum 2 years data analysis in health care experience applying causal inference methodologies required
  • Experience with medical and/or pharmacy claims data preferred
  • Excellent oral and written communications skills
  • Strong analytical, organizational and problem-solving skills
  • Fluent in SQL and R/Python
  • Experience and/or coursework in statistical analysis and research methods
  • Applied statistical skills including regression modeling, longitudinal analysis (including mixed models), data mining, and multiple testing strategies is preferred
  • The Primary Responsibilities:

    • Develop analytic plan and conduct analyses as needed including relevant statistical analysis as required
    • Develop and communicate a summary of findings and results to relevant business leaders or stakeholder
    • Performs varied data analyses which may include:
      • Causal Inference Methods
      • Multivariate Statistical Analysis and Modeling
      • ROI and Opportunity Analysis models
      • Utilization and cost patterns of programs participants and non-participants for different products
      • Support validation of predictive models
      • Root cause analysis
    • Design and create analysis datasets for the purpose of conducting analyses and ROI studies
    • Perform quality checks on analysis datasets, tables, listings, figures
    • Design presentation decks to communicate study findings
    • Collaborate internally and externally to coordinate cross-functional analytics projects

    **ALL successful candidates for this position are required to work directly for PRIMUS. No agencies please only W2**

    For immediate consideration, please contact:

    Pavan
    PRIMUS Global Services
    Direct 972-798-2661
    Desk: (972) 753-6500 Ext. 203
    Email: jobs@primusglobal.com

    Position Details

    POSTED:

    Jun 27, 2024

    EMPLOYMENT:

    Full-time

    SNAPRECRUIT ID:

    SD-20240627141504-55809-8707

    LOCATION:

    Texas United States

    CITY:

    Dallas

    Job Origin:

    CIEPAL_ORGANIC_FEED

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    Data Analyst Healthcare Experience - REMOTE WORK - 55869

    Pay Range - $25 - $30/hr

    We have an immediate long-term opportunity with one of our prime clients for a position Data Analyst Healthcare Experience to work on Remote basis.

    Required Skills

    Fluent in SQL and R/Python Minimum 2 years data analysis in health care experience applying causal inference methodologies required

    Additional Skills

    Experience with medical and/or pharmacy claims data preferred Applied statistical skills including regression modeling, longitudinal analysis (including mixed models), data mining, and multiple testing strategies is preferred

    Overview

    AbleTo is the leading provider of high quality, technology-enabled behavioural health care. Able to believes that everyone deserves access to high quality care, and offers a suite of technology-enabled services to empower people to lead better lives through better mental health. A proprietary platform connects individuals with Able to highly trained licensed providers who deliver weekly sessions by phone or video supported by an integrated digital experience. Members also have access to mental health coaches, and digital support programs. Clinical best practices are leveraged across all services to ensure individuals are getting the care they need. Our outcomes-focused care is proven to improve depression and anxiety by over 50% on average, as demonstrated in several peer-reviewed studies. For patients with high cost medical conditions, our clinically-tailored treatment is proven to reduce medical costs with care that empowers the patient to address their health needs. Able to partners with payers to make high-quality care accessible, affordable and convenient for millions of people to get the treatment they need.

    Data is integral to nearly everything that we do at Able To, and as a result the analytics team plays a key role at our company. You should understand the causal inference framework and methodology and be able to apply it for your analysis. You should be excited to work with data, have the curiosity to dive deeply into issues, and feel empowered to make a meaningful impact at a mission-driven company. You will be a critical business partner to operational leaders at AbleTo, helping them to analyze the impact of AbleTo programs and provide insights on the populations that engage with AbleTo. Ideal candidates will provide guidance on designing studies, statistical methods, analyses, interpretation, and reporting study outcomes. This position reports to the Sr. Manager of Advanced Analytics.

    Position Requirements

  • You hold a BS/BA degree in a quantitative field (graduate degree in statistics, epidemiology, biostatistics, economics, public health, and relevant quantitative fields preferred), or equivalent work experience
  • Minimum 2 years data analysis in health care experience applying causal inference methodologies required
  • Experience with medical and/or pharmacy claims data preferred
  • Excellent oral and written communications skills
  • Strong analytical, organizational and problem-solving skills
  • Fluent in SQL and R/Python
  • Experience and/or coursework in statistical analysis and research methods
  • Applied statistical skills including regression modeling, longitudinal analysis (including mixed models), data mining, and multiple testing strategies is preferred
  • The Primary Responsibilities:

    • Develop analytic plan and conduct analyses as needed including relevant statistical analysis as required
    • Develop and communicate a summary of findings and results to relevant business leaders or stakeholder
    • Performs varied data analyses which may include:
      • Causal Inference Methods
      • Multivariate Statistical Analysis and Modeling
      • ROI and Opportunity Analysis models
      • Utilization and cost patterns of programs participants and non-participants for different products
      • Support validation of predictive models
      • Root cause analysis
    • Design and create analysis datasets for the purpose of conducting analyses and ROI studies
    • Perform quality checks on analysis datasets, tables, listings, figures
    • Design presentation decks to communicate study findings
    • Collaborate internally and externally to coordinate cross-functional analytics projects

    **ALL successful candidates for this position are required to work directly for PRIMUS. No agencies please only W2**

    For immediate consideration, please contact:

    Pavan
    PRIMUS Global Services
    Direct 972-798-2661
    Desk: (972) 753-6500 Ext. 203
    Email: jobs@primusglobal.com

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