Director, Retail Business Intelligence & Analytics

Position Summary

Headquartered in Ridgefield Park, N.J., Samsung Electronics America, Inc. (SEA) is a leader in mobile technologies, consumer electronics, home appliances and enterprise solutions. From our humble beginnings to our position today as a tech leader, our passion for innovation has been the common thread throughout our history. We’ve grown into one of THE most recognized global brands. We consider ourselves “relentless pioneers” that push boundaries and defy barriers. The company pushes beyond the limits of today’s technology to provide groundbreaking connected experiences across its large portfolio of products and services, including mobile devices, home appliances, home entertainment, 5G networks, and digital displays. As EPA’s ENERGY STAR® Corporate Commitment Partner, SEA is dedicated to making a positive impact on the environment through its eco-conscious products, practices, and operations.

People | Excellence | Change | Integrity | Co-Prosperity


Role & Responsibilities
We are currently seeking a Director of Retail Business Intelligence (BI) and Analytics to drive data-driven decision support for the Retail division. This role will be responsible for driving a high-performing data analytics organization that supports daily and long-term strategic operations. This position requires a strategic hands-on leader that builds effective working connections with leadership and cross-functional teams.

Role and Responsibilities

Key Responsibilities

• Lead and develop a high-performing Retail BI and Analytics team
• Conducts in-depth  analysis to provide actionable insights and strategic recommendations
• Attract, develop and retain talent while leveraging resources to help develop team skills
• Drive results through team work and collaboration
• Drive execution of projects by understanding strategic needs, setting priorities, removing barriers, obstacles, and allocating resources correctly
• Be the source of truth for Retail KPI and metrics
• Collaborate with cross functional teams to shape strategic roadmaps leveraging the data analytics and insights
• Promote data literacy across the retail organization by proactively sharing actionable insights
• Building and maintain processes to ensure data integrity and accuracy
• Automate reports and implement data visualization tools to democratize data access and optimize organizational efficiency
• Lead ad hoc business analysis to identify key insights to drive sellout across the retail portfolio
• Utilize advanced statistical techniques to analyze large/complex data sets and develop predictive models for anticipated outcomes
• Define a data strategy and partner with key internal teams to develop roadmap and infrastructure to support current and future business needs
• Present complex ideas and data in a succinct and easy to understand method to senior executives
• Build strong partnerships with leaders across the Retail division and the broader Samsung organization

Minimum Qualifications

• Bachelor's Degree in Computer Science, Business Administration, Information Technology or related experience; MBA is preferred.
• 12+ years of directly related experience in data analytics, KPI, dashboard development, and finance is preferred.
• Familiarity with data concepts like visualization (Tableau), programming (Python), Structured queries (SQL), cloud data eco system (Snow Flake), and data privacy and security
• Experience communicating cross-functionally, domestically, globally and up & down an organization
• Experience building, motivating and managing a team of high-performing professionals.
• Ability to synthesize large amounts of information quickly and translate data into actionable insights
• Microsoft Standard Office Suite and advanced expertise in PowerPoint/Excel
• Experience with data visualization platforms such as Tableau
• Strong understanding and experience with big data platforms and analysis techniques and tools
• Demonstrated program management ability, proven experience planning and executing large scale projects and/or events
• Storytelling ability to translate complex data set to a simple & easy-to-understand story to highlight key findings and recommendations
• Experience collaborating with senior executives across a large organization

Preferred Qualifications:

• Master’s degree with 10+ years of directly related experience is strongly preferred
• 5+ years of experience developing predictive models that directly inform and/or enable quantifiable bus