Data Analytics Manager

Overview

Hybrid
$80 - $85
Contract - W2
Contract - Independent
Contract - 3 Year(s)
50% Travel

Skills

power BI
python
ML

Job Details

Senior Data Analytics Manager
Hybrid- Bethesda, MD

About the Role

Cleint is seeking a Senior Manager of Advanced Analytics to join the Digital Analytics team at our Bethesda, MD headquarters. This role will be instrumental in elevating our analytics practice, focusing on the development of sophisticated models to better understand customer behavior, generate predictive insights, and drive personalization across our digital properties. This role will help grow our digital business through rigorous experimentation and performance measurement. The ideal candidate thrives on leading new initiatives, navigating complex challenges, and uncovering insights into customer behavior to inform strategy and innovation. This position reports to the Director of Digital Analytics.

You will

  • Develop and oversee predictive models, segmentation strategies, and customer lifetime value (CLV) frameworks using machine learning and statistical techniques. Lead the continued evolution of our analytics capabilities, tools, and best practices.
  • Lead a team of analysts to measure performance and uncover insights and continuously refine digital analytics frameworks and the experimentation program
  • Build and deliver compelling narratives and visualizations that simplify complex analysis for executive stakeholders.
  • Manage and mentor a team of analysts, providing guidance, support, and development opportunities to help grow analytical capabilities within the team
  • Work closely with cross-functional business stakeholders to understand and support their analytics needs
  • Lead efforts in driving personalization strategies across digital properties, leveraging customer data to deliver tailored experiences and content.
  • Collaborate with the Director of Digital Analytics and other senior leaders to shape long-term analytics strategy, ensuring alignment with business goals and objectives.

You will come with

  • 8+ years of hands-on experience in advanced analytics, preferably within a retail or digital environment
  • Proficient in SQL and solid understanding of relational database concepts
  • Experience with predictive analytics or data science techniques using R or Python
  • Strong collaboration skills with the ability to advocate for data-driven decision-making across teams
  • Excellent communication skills able to explain complex analytical concepts clearly to both technical and non-technical audiences
  • Bachelor s degree in Mathematics, Statistics, Data Science, Analytics, or a related field (advanced degree strongly preferred)
  • Experience in Adobe, any web optimizations platform, and PowerBI a plus
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.