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    Lead Advanced Analytics - Dallas, United States - AT&T

    AT&T
    AT&T Dallas, United States

    Found in: Lensa US 4 C2 - 4 days ago

    AT&T background
    Description

    Job Description:

    Overall Purpose:
    This career step requires intermediate level experience.

    Responsible for analyzing employee benefits data, including but not solely limited to healthcare data in response to new business requests, evaluating program effectiveness and reporting.

    AT&T Benefits team is seeking a quantitative analytics associate responsible for querying, compiling, manipulating and synthesizing large quantities of employee benefits data, including health-related data, to assist AT&T make data-driven decisions.

    In this role, you will utilize experience from the health care industry and familiarity with health care quality measurement to conduct descriptive statistics, visualize data, and extract a story to provide insights.

    The ideal candidate will have experience in a health care setting and be passionate about health care transformation and creating data-driven insights.

    They will demonstrate skill in each phase of the analytics project life-cycle, including translating business problems to an analysis plan, data transformation, data visualization and description, statistical analysis, and data-driven storytelling.

    A component of job includes supporting the health care quality measurement portfolio across AT&T health programs.

    This may include calculating quality measures and leading indicators using relevant data sources (insurance claims, biometric results, survey results, public or licensed data), identifying high impact areas of opportunity, and reporting out results.

    The candidate will support internal requests for data related requests and assist in the creation of dashboards used to measure performance, utilization, and engagement across all benefits programs.

    The candidate will oversee methodologies used to determine these metrics, using existing data warehouse tools to ensure HIPAA and security guidelines are met, but is also encouraged to bring new insights into how data is managed and analyzed.

    The candidate should have proven success creating practical, actionable analysis plans and communicating their findings to both technical and non-technical stakeholders.

    Beyond strong analytics and communication skills, the ideal candidate will be a self-motivated problem-solver who enjoys collaborating in teams and creates value by aligning data-driven insights with business objectives.


    Supervisory:
    No.

    Job Responsibilities

    • Work within AT&T to review business needs and translate them into data-driven analytics plans
    • Implement creative and efficient solutions to clean, join, and analyze data while adhering to HIPAA and AT&T data use guidelines
    • Have detailed understanding of medical claims reporting and billing
    • Carefully review and validate analysis findings to ensure data quality and integrity
    • Leverage appropriate statistical techniques to bring actionable insights to AT&T
    • Support the employee benefits portfolio across AT&T
    • Manage relationships with key stakeholders to balance multiple projects
    • Clearly communicate analytics concepts and insights with non-technical teammates and stakeholders

    Required Qualifications, Capabilities, And Skills

    • Bachelor's degree in a quantitative field or with a technical focus (including, but not limited to, computer science, statistics, engineering, math, analytics, epidemiology/public health)
    • Minimum 3-5 years of professional experience with hands-on data science analyses and data visualization
    • Minimum 2-3 year of professional healthcare experience, ideally in a payer, provider, or employer setting with exposure to health care claims data
    • Understanding of applied statistics, including familiarity with interpreting statistical significance
    • Fluency with analytics tools and relational database structures, e.g. SQL, Python, R, Excel, Tableau, Power BI, shiny
    • Proven ability to successfully multitask effectively and deliver results with limited supervision
    • Experience creating analytical presentations with strong attention to detail
    • Excellent verbal and written communication skills
    • A team-oriented attitude

    Preferred Qualifications, Capabilities, And Skills

    • Master's degree in a quantitative field or with a technical focus (including, but not limited to, computer science, statistics, engineering, math, analytics, epidemiology/public health)
    • Experience working with medical and pharmaceutical claims data, including standard groupers, common data transformations, and population health metrics
    • Applied knowledge of the U.S. healthcare system, including understanding common business questions about the commercially insured population, value-based care, and point solutions serving the employer-sponsored insurance market
    Comprehensive understanding of health care quality measurement


    Weekly Hours:
    40


    Time Type:
    Regular


    Location:
    Dallas, Texas


    Salary Range:
    $130, $196,100.00

    It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law.

    In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities.
    AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws
    We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status
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