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    Senior Manager, Advanced Analytics - Houston, United States - TechHuman

    TechHuman
    TechHuman Houston, United States

    6 days ago

    Default job background
    Retail
    Description

    Senior Manager, Advanced Analytics & Data Science

    Location: Houston, TX

    Direct Hire/Perm

    Experience:

    • Minimum of 8 years of proven experience in advanced analytics, data science, or related roles.
    • At least 4 years of managerial experience, preferably in retail or B2C sectors with an emphasis on Omnichannel.

    Skills:

    • Strong communicator and attention to detail, capable of engaging with stakeholders across all levels.
    • Proficiency in developing dashboards, automating data processes, and ensuring data integrity, especially within ecommerce or retail contexts.
    • Ability to innovate and remain up-to-date with emerging technologies in advanced analytics.
    • Technical expertise in programming languages such as Python and SQL, as well as BI tools like Tableau/Power BI and cloud technologies like GCP, AWS, or Azure.
    • Experience with machine learning frameworks and familiarity with LLMs.
    • Demonstrated proficiency in data modeling and advanced analytics techniques, particularly in retail or ecommerce.
    • Strong project management skills with the ability to deliver actionable insights from complex analytical projects.
    • Agile mindset with the capacity to prioritize and meet deadlines in dynamic environments.
    • Ability to work independently and contribute effectively to team development and mentorship.

    Day to Day Responsibilities:

    • Mentor and lead a team of analysts, data scientists, product managers, and engineers to derive actionable insights from data and foster a culture of accountability.
    • Develop strategic and tactical plans for omnichannel analytics initiatives.
    • Analyze data trends and provide recommendations for cross-channel marketing strategies.
    • Own the data product roadmap and prioritize AI/ML feature engineering efforts.
    • Translate data science findings into actionable insights to support strategic decision-making.
    • Oversee the development and integration of machine learning models for predictive and prescriptive solutions.
    • Collaborate on experimental designs for marketing tactics to accurately measure ROI.
    • Partner with engineering and BI teams to integrate new data sources and scalable platforms.
    • Define and document metrics to support a data-driven culture and ensure compliance with company standards.
    • Drive the development of advanced analytics talent across the organization.
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