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    Data Analyst - San Diego, United States - Insight Global

    Insight Global background
    Description
    An up-and-coming Medical Device Company is seeking a Data Analyst to join their growing team in San Diego.

    In this position, you will play a critical role in lowering the burden of diabetes through advanced automated insulin delivery systems.

    The ideal candidate will have a strong background in diabetes, data, analytics, and data visualization. Experience in developing user, health, and product analytics will be a significant advantage. Bachelors or Equivalent experience in Data Science or related field required.


    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.

    We are an equal opportunity/affirmative action employer that believes everyone matters.

    Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

    If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to .

    To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
    .

    Required Skills & Experience

    User, Product and

    Health Outcome Analytics:

    • Ability to extract from Amazon databases and query relevant data using Tableau.
    • Profile, understand and clean user and device data to provide high quality answers.
    • Summarize and visualize data in meaningful ways.
    • Explore data and develop and understand from the data to answer key questions.
    • Demonstrate critical thinking to understand data that is used, and which data should be filtered (or not filtered) based on the question being asked of the data.
    • Knowledge of statistics, and understanding how to report data in the most meaningful way (mean, median, standard deviation, min/max, etc.)
    • Setup Tableau dashboard to report on product, user and health outcome analytics and enable selfservicing of dashboards.
    • Interface with partners in the business to understand needs and provide answers from data.
    • Select appropriate visualizations for specific metrics (graphs, charts, etc.)
    Diabetes Domain Knowledge
    Bring existing knowledge on the following:

    • Diabetes data (glucose readings, insulin dosing, meal intake, and other diabetes data types)
    • Common diabetes analytics such as average glucose, glucose standard deviation, time in range, coefficient of variation, hypo and hyperglycemia, basal and bolus total daily dose, etc.
    • Clinical working knowledge in the understanding of how carbohydrates, insulin, stress, exercise, and other factors affect glucose levels.
    • Ability to quickly find relevant research and literature relating to glucose control using insulin therapy.
    Documentation and Testing

    • Ability to validate that analytics are performed correctly, to ensure answers are trustworthy.
    • Document code, tool setup procedures, etc. to enable other team members to repeat analysis.
    • Document and present results of analysis and data exploration.
    Nice to Have Skills & Experience

    • Experience working at a Diabetes focused Biotech company
    • Programming skills in Python
    • Able to work independently, with little oversite

    Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching.

    Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.


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