Samsung

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. 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 an eleven-time winner of EPA’s ENERGY STAR® Partner of the Year Award for Sustained Excellence, 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 and Responsibilities

The data analytics project manager in the CE Retail leads projects to optimize operations through data-driven insights. Key responsibilities include:

• Analyzing retail product sales to inform inventory, pricing, and promotional strategies.
• Evaluating sales team performance using metrics like sales targets and customer engagement to boost productivity.
• Assessing sales team training programs to ensure alignment with business goals and employee needs.
• Processing customer experience survey data to refine customer service, customer journey, and shopping experiences. By synthesizing these insights, the manager supports informed decision-making, operational efficiency, and customer satisfaction.
• The data analytics project manager enables informed decision-making, drives operational efficiency, and enhances customer satisfaction across the retail organization.
• Retail Product Sales Analysis:
  • Develop and manage reports to analyze sales data, identifying trends and patterns that inform inventory management, pricing strategies, and promotional activities for CE products.
  • Provide actionable insights to optimize product offerings and improve sales performance.
• Sales Team Performance Evaluation:
  • Assess sales teams' performance using metrics such as sales targets, conversion rates, and customer engagement specific to CE products.
  • Identify areas for improvement and recommend strategies to enhance team productivity and effectiveness.
• Sales Team Training Optimization:
  • Analyze training program outcomes and employee performance data to evaluate the effectiveness of CE-focused training initiatives.
  • Suggest adjustments to training content, delivery methods, or schedules to better align with business objectives and team needs.
• Customer Experience Shopping Surveys:
  • Process and analyze survey data related to the shopping experience for CE products, focusing on customer satisfaction, preferences, and pain points.
  • Offer insights to improve customer service, store layout, and overall shopping experiences for CE products.
• Cross-Functional Collaboration:
  • Work closely with marketing, merchandising, and operations teams to ensure data-driven strategies are implemented effectively across the CE retail division.
  • Communicate insights and recommendations clearly to stakeholders to drive informed decision-making.
• Data-Driven Strategy Development:
  • Leverage data analytics to identify opportunities for growth and innovation within the CE retail segment.
  • Develop and execute strategies that enhance competitiveness and customer satisfaction in the CE market.

Skills and Qualifications

Minimum Qualifications

• Bachelor’s degree with 4 years of prior relevant experience
• 6+ years of directly related experience without a degree is required
• Proficient in developing predictive models that directly inform and/or enable quantifiable business action, either by providing insights or building analytic applications
• Visual report creation that communicates data effectively from the field-level sales team to executive-level use

Preferred Qualifications

Technical Skills

• Data Visualization & Reporting
  • Advanced proficiency in Tableau for creating interactive dashboards and reports.
  • Experience with Alteryx for data preparation and workflow automation.
  • Expertise in Excel for data analysis, modeling, and visualization for business partners who do not have access to internal systems.
• Data Management & Querying
  • Strong knowledge of SQL for querying and managing large datasets.
  • Familiarity with database management systems (e.g., MySQL, PostgreSQL, Oracle).
• Data Analysis & Modeling
  • Proficiency in statistical analysis and predictive modeling techniques.
  • Experience with data mining and exploratory data analysis (EDA).
• Programming & Tools
  • Familiarity with programming languages like Python or R for advanced analytics.
  • Experience with ETL (Extract, Transform, Load) processes and tools.
  • Knowledge and experience in automating data from industry-standard retail systems & platforms
  • Implement & Maintain all New + Existing Software, Hardware Development, + UAT, and deployment in partnership with business owners
• Cloud & Big Data Technologies
  • Knowledge of managing cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage and processing to make data accessible for use within Samsung's secured technology approved for business use
  • Experience with big data technologies like Hadoop, Spark, or Snowflake.
  • Manage the intake and execution of all Samsung-required SaaS inspections for external programs & platforms utilized by the CE Retail Team.

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Life @ Samsung - https://www.samsung.com/us/careers/life-at-samsung/

Benefits @ Samsung - https://www.samsung.com/us/careers/benefits/

The salary range for this role, for candidates based in New Jersey, is expected to be between $110,000 and $120,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.

Regular full-time employees (salaried or hourly) have access to benefits including: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more. In addition, regular full-time employees (salaried or hourly) are eligible for MBO bonus compensation, based on company, division, and individual performance.

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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.