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    Business Intelligence Engineer - Andover, United States - Mastech Digital

    Mastech Digital
    Mastech Digital Andover, United States

    2 weeks ago

    Default job background
    Upper Management / Consulting
    Description

    Requirement Description:

    • Mine, manipulate, and analyze data from multiple internal and external sources, reporting key actionable insights using statistical rigor to inform the larger organization of noteworthy trends that impact the business.
    • Develop deep-dive tools, UIs, metrics, and QuickSight automated dashboards to give visibility into key measures of logistics performance.
    • Partner with the Product, Finance, Logistics, Clinical, and Tech teams to gather requirements, create reporting, and drive analytic projects that help solving complex logistics challenges.
    • Constantly investigate and support implementation of new big data technologies to provide automated solutions to address the evolving Transplant Logistics needs.
    • Support the ongoing design of the NOP logistics network.

    Background and Qualifications:

    • 5+ years of professional experience.
    • Advanced SQL skills and experience in scripting for automation (e.g., Python).
    • Experience programming to extract, transform, and clean large (multi-TB) datasets.
    • Experience building KPIs and developing automated dashboards and reporting solutions.
    • Experience with data visualization using Tableau, Power BI, QuickSight, Smartsheet, and other similar tools.
    • Expert level Excel skills, including knowledge of VBA, Macros, Pivot Charts, and Statistical Modeling.
    • Knowledge of data modeling, machine learning, relational databases, Python, and Geospacial data processing.
    • Experience working directly with business stakeholders, being able to seamlessly navigate between data and business needs.
    • Self-starter, driver, and out-of-the-box thinker with a strong attention to detail and comfortable with ambiguity.
    • "Can do" attitude, willingness to roll up sleeves up with a drive to win.
    • Ability to work independently with minimal supervision and collaborate with teammates and cross-functional colleagues.
    • Strong business ethics.

    Education:

    • BS in computer science, engineering, economics, math, or related field.
    • Master's degree in statistics, data science, or an equivalent quantitative field is a highly valued.


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