• Operations Data Analyst

    Location US-IN-Indianapolis
    Job ID
    2018-8239
    Category
    Clinical Engineering
    Company Name
    TriMedx, LLC
  • Overview

    The Operations Data Analyst plays a key role in data integrity, data governance, and the utilization of data to grow and optimize the business via reporting, modeling, and analytics. This position will work with representatives from a wide-ranging portion of the business to develop an understanding of organizational needs and business drivers leading to reporting and analytics products that communicate key findings to stakeholders and facilitate data-driven decision making. The Analyst leverages large and varied datasets to support initiatives while promoting standardizations and best practices to enable effective use of data throughout the enterprise.  Working with large amounts of data, including untapped data, this position will conduct statistical analysis and develop predictive analytics, and determine the best way to present the data based on the request of the business.

    Responsibilities

    • Collaborate with cross functional business leaders to understand and document reporting and analytics needs
    • Develop and implement analytic models, predictive tools, and applications to meet business needs; develop and implement machine learning models
    • Conduct analysis on equipment make/models and modalities to identify targets and priorities for service strategy development
    • Coordinate with others to analyze and prepare recommendations on service strategy planning and optimization
    • Support service strategy team in acquiring and documenting performance data on operational improvement plans, implementation statuses, and optimization with service strategies
    • Support national contract/agreement development as necessary; analyze organizational needs (parts, supplies, training, labor, etc.), and conduct financial/logistical analysis of OEM/ISO offerings and capabilities
    • Prepare reports showing financial and operational effectiveness of strategies and programs
    • Identify key metrics and build executive dashboards to track progress of the business and its highest priority initiatives
    • Based on data analysis results and organizational feedback; partner with cross functional areas when the development of new processes, products, services, or relationships is required
    • Plan new programs in response to new business needs, assess the value of new technologies, and guide the creation of innovative solutions
    • Analyze operational business performance; design and execute research, models and other mechanisms to identify, evaluate and prioritize opportunities
    • Coordinates with peers in cross-functional areas on a jointly defined and managed dataset supporting organization-wide analytical initiatives
    • Create and deliver presentations and communications to peers, functional area leaders, and executives.
    • Collaborate with financial planning and analysis to ensure accuracy and clarity in analytics and reports.
    • Seek input from cross-functional experts as needed to gather data for the analysis process.
    • Develop presentations to be shared with executive leadership on monthly metrics and strategic initiatives.

    Qualifications

    • Bachelor’s degree in Mathematics, Statistics, Data Analytics, Actuarial Science, Economics, or related major required
    • Experience with complex data analysis, statistical modeling, and quantitative/qualitative models
    • Demonstrated experience with predictive analytics strongly preferred
    • Excellent analytical and problem-solving skills with an acute attention to detail
    • Creative thinker with the ability to prioritize work and manage time amidst multiple tasks
    • Strong written and verbal communication skills supporting interactions with personnel at all levels within the organization
    • Highly proficient with Microsoft Office applications; advanced skills with Excel and Access required
    • Strong SQL skills and familiarity with statistical software (R, Python) and reporting tools (e.g. Qlik, Domo, Tableau, PowerBI, Cognos, Stata, etc.)
    • Travel 5% (overnight)
    • Must be authorized to work in the U.S. as sponsorship is not available for this role.

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