Manager, Data Analytics

Samsung Electronics•Plano, TX

About The Position

Samsung Electronics America, Inc. (SEA), the U.S. Sales and Marketing subsidiary of Samsung Electronics, is hiring a Data Analytics Manager to provide Samsung.com operators with insights that help shape business direction. The role leads the Data Team and aligns its work with leadership’s business goals, analyzing large datasets and building models to identify operational trends and anomalies across lines of business. It is highly visible and has broad organizational impact, with close collaboration across product, engineering, business management, marketing, customer service, and other teams to improve Samsung.com customer experiences and eCommerce operations. The manager leads a team of three—two data engineers and one data analyst/scientist—and handles business requests, analytical planning, reporting, training, and recommendations. The role also supports vendor management, data ingestion and dashboarding initiatives, and monitoring operational KPIs for the direct eCommerce business. Work is generally performed in an office environment. The position involves frequent additional hours beyond the normal schedule and periods of time-sensitive work and stress. It is performed with little direct supervision and includes access to confidential company data.

Requirements

At least 6 years of experience in a similar role in eCommerce or operations.
Degree in Data Science, Business Analytics, Economics, or a related field.
Ability to lead a team and motivate individuals to perform at their best.
Strong experience in data collection, cleaning, and analysis.
Proficiency with JIRA, Confluence, Excel, SQL, Python or another programming language, and data visualization tools such as Tableau or Power BI.
Experience with cloud platforms.
Excellent communication skills and ability to explain complex data insights simply.
Ability to collaborate effectively and work under pressure.
Familiarity with e-commerce platforms and industry metrics.
Experience using Tableau and Microsoft PC software, including extensive use of Excel spreadsheets, Word, and Access, as well as SAP or similar sales order management software.
Ability to perform the role’s essential duties in an office environment, including operating a computer keyboard and viewing a video display terminal for prolonged periods.
Ability to move and transport equipment, most of which weighs under 25 pounds.
Ability to work under time schedules and periodic or cyclical stress, and frequently work additional hours beyond the normal schedule.

Nice To Haves

Experience with Google Cloud Platform (GCP) and Dataform; AWS experience is also referenced.
Experience with high-volume direct-to-consumer eCommerce fulfillment or returns, demonstrating process and KPI improvements to scale growth; operations or logistics experience is a strong advantage.

Responsibilities

Lead and develop a team of three data professionals: two data engineers and one data analyst/scientist.
Intake data-related requests from business teams and align resources to deliver effective solutions.
Drive strategic and tactical planning for eCommerce operations from a data perspective, and present recommendations to leadership.
Collect, organize, and analyze large datasets from multiple sources to identify customer behavior insights and operational trends.
Prepare reports and dashboards that communicate findings and support decision-making.
Conduct onboarding and training for the operational team on analytical and AI frameworks for accessing, interpreting, and using data and reports.
Identify opportunities to improve operations and recommend data-driven solutions to optimize performance and increase revenue.
Work with cross-functional teams to ensure data accuracy and relevance and communicate results effectively.
Use statistical methods and visualization tools to identify patterns, correlations, and anomalies.
Stay current with analytical tools and techniques to enhance data capabilities.
Support and train colleagues in data analysis best practices.
Present findings and recommendations clearly to stakeholders to facilitate decision-making.
Help manage vendor partners, including contributing to contract reviews, SLA adherence, budgeting, cost analysis, and procurement.
Partner with customer service to understand consumer pain points and develop customer experience improvements.
Collaborate with data warehouse and analytics teams on data ingestion processes for external third-party sources and adoption of a new dashboarding and visualization tool.
Monitor exception reports and KPIs—including lead times, shipping times, backorders, and shipping exceptions—and take action to support operational goals and improve performance.