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Samsung Electronics Perú

Director, Retail Business Intelligence & Analytics

Samsung Electronics Perú, Plano, Texas, us, 75086


Director, Retail Business Intelligence & AnalyticsApply remote type Hybrid locations 6625 Excellence Way, Plano, TX, USA posted on Posted Yesterday time left to apply End Date: December 20, 2024 (27 days left to apply) job requisition id R97674

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.

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.

Key Responsibilities

Lead and develop a high-performing Retail BI and Analytics team

Conduct 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 teamwork 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

Build 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 ecosystem (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 business action, either by providing insights or building analytic applications

Skills and Qualifications

At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.

Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process

Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.

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