Senior Manager, Advanced Analytics
3 weeks ago
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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