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Coppell

    Senior Analyst, Marketing Analytics - Coppell, United States - Insight Global

    Insight Global
    Insight Global Coppell, United States

    2 weeks ago

    Insight Global background
    Description


    Insight Global is looking for a Senior Analyst, Marketing Analytics to join one of our clients in the hospitality/entertainment industry.

    This individual will contribute by interpreting data, providing valuable insights, and supporting strategic decision-making within the organization.

    An effective Senior Analyst will collaborate with cross functional teams and leadership to understand business needs, gather relevant data, ensure data accuracy, and identify areas for improvement.

    This position will leverage clear and concise reporting, visual materials, and forecasting models to track performance, support decision making, and predict future outcomes.

    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 .

    com.

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

    Bachelor's degree in a related field (e. g., Business, Economics, Statistics, or a relevant quantitative discipline).

    * 3 years of experience as an Analyst, with a focus on data analysis and interpretation.


    • Strong proficiency in data analysis tools (e. g., SQL, Python, R) and data visualization tools (e. g., Tableau, Power BI).
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