• Senior Data Analyst

    Location US-IL-Lincolnshire
    Job ID
    53699
    Function
    Operations
  • Overview

    Zebra empowers those on the front line in retail, healthcare, transportation and logistics, manufacturing and other industries to achieve a performance edge - an edge that translates to delighted customers, good patient outcomes and superior business results.

     

    As the pioneer at the edge of the enterprise, our products, software, services, analytics and solutions are used to intelligently connect your people, assets and data.

     

    Real-time information – gleaned from visionary solutions including hardware, software and services – gives organizations the competitive edge they need to simplify operations, know more about their businesses and customers, and empower their mobile workers to succeed in today’s data-centric world.

     

    The Data Scientist manages, architects and analyzes data to build data driven forecasts and business insights.  It will require development of predictive models and processes to gather and aggregate data from multiple sources, training and validating data, and visualizing results.  It will require working with the business stakeholders and Sales leadership.  It requires a deep understanding of statistics/statistical testing, machine learning, data mining, database structures and management.

    Responsibilities

    The Data Scientist is responsible for developing predictive models to forecast revenue and provide actionable insights in the global Sales organization.  It will require development of predictive models and processes to gather and aggregate data from multiple sources, training and validating data, and visualizing results.  It will require working with the business stakeholders and Sales leadership.  It requires a deep understanding of statistics/statistical testing, machine learning, data mining, database structures and management.

     

    Essential Duties and Responsibilities:

     

    1. Develop predictive models and generate data driven forecast and impactful business insights.
    2. Deep knowledge in Machine Learning methodology.
    3. Deep knowledge in forecasting revenue using opportunity pipeline data as a variable
    4. Machine Learning Experience – Experience on Azure Machine Learning (AML) platform and tools are preferred, including deep learning and neural networks, genetics algorithm, etc.
    5. Develop processes to manage and enrich large data sets from multiple sources
    6. Manage and manipulate data sets, including: defining variables, performing calculations and summarizations.
    7. Experience working with relational databases and intermediate level knowledge of SQL.
    8. Data Mining; evaluate and make recommendations to evolve data collected to improve analytics.
    9. Identifies meaningful insights from large data sources; interprets and communicates insights and findings from analysis and experiments.
    10. Evaluate and make recommendations to evolve data collected to improve analytics.
    11. Create data visualization in Microsoft Power BI to adequately analyze historical data and display trending.
    12. Mentor and train junior developers and modelers.
    13. Ability to work in a global collaborative team environment.
    14. Performs other duties as assigned.

     

     

    Qualifications

    1. Bachelor’s degree. Advanced degree – masters or PhD - strongly preferred in Statistics, Mathematics, Data / Computer Science or related discipline.
    2. Strong analytical, communication scheduling and organizational skills.
    3. Strong background in statistical modeling and algorithms.
    4. Data engineering experience, including Bigdata – SQL, NoSQL, Hadoop, Map Reduce, Hive, Pig, Spark, etc. Hands-on experience preferred
    5. Machine Learning experience – including deep learning and neural networks, genetics algorithm etc
    6. Statistical and data science programming languages R, PYTHON (required), MATLAB, C++, SAS are a plus.
    7. Comfortable working with and presenting to senior management and CxO level executives
    8. Self-motivated and self-starter with high degree of work ethic
    9. Must be very skilled and knowledgeable in MS Excel. Must have experience creating complex reports, pivot tables, VLOOKUP’s, and macros within Excel.
    10. Must know how to link data between Microsoft Access, Excel, PowerPoint, SharePoint, Word, and Outlook.
    11. Innovative/self-thinker/self-motivated ability to comprehend business requirements and translate into final work product. Proactive- Must want to seek out information and solutions that are pertinent to their responsibilities and key to their delivery
    12. Attention to detail with the highest level of quality and integrity required.
    13. Enthusiasm and tenacity to carry out difficult tasks through to the end with guidance from Manager.
    14. Team player attitude with a focus on the success of the team is a MUST.
    15. Ability to collaborate with teams across global time zones.
    16. Excellent oral and written communication skills with ability to present technical and business solution concepts to all levels across functional domains.
    17. Strong desire to keep current on new technologies that push the limits of what we can do creatively.

    Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
    Share with your network