Nestlé USA (NUSA) is looking to drive the company’s digital transformation and e-commerce growth by leveraging data analytics to optimize online sales strategies, enhance customer engagement, and improve the overall digital experience.
Requirements
- Proficiency in e-commerce platforms, analytics tools (e.g., Google Analytics), and digital marketing software.
- Proficiency in e-commerce platforms (e.g., Instacart, DoorDash, eB2B), analytics tools (e.g., Google Analytics), and digital marketing software.
- Strong ability to analyze data and derive actionable insights.
- Ability to manage multiple projects, prioritize, and meet deadlines.
- Understanding of customer behavior and the ability to translate data into customer-centric strategies.
- Proven Track Record: Demonstrated success in driving e-commerce performance through data-driven strategies.
Responsibilities
- Data Analysis: Collect, analyze, and interpret e-commerce data to identify trends, opportunities, and areas for improvement.
- Promotional excellence: Manage tactical execution of promotional plans with marketing team alignment, agency input, and collaborate with customers to optimize builds. Post performance analysis.
- Performance Metrics: Develop and monitor key performance indicators (KPIs) to measure the success of online sales and marketing campaigns.
- Reporting: Create detailed reports and dashboards to present findings and recommendations to senior management. Conduct monthly sales reporting and business reviews for key accounts.
- Customer Insights: Analyze customer behavior and feedback to enhance the online shopping experience.
- Market Research: Conduct competitive analysis and market research to inform e-commerce strategies.
- Campaign Management: Support the planning and execution of digital marketing campaigns, including email marketing, social media, and online advertising.
Other
- The role is located in Arlington VA and requires you to be in the office 3 days per week.
- Excellent verbal and written communication skills, with the ability to present data clearly.
- Strong problem-solving skills with a proactive approach to identifying and addressing challenges.
- High level of accuracy and attention to detail in data analysis and reporting.
- Ability to work effectively with cross-functional teams + levels, building strong relationships.
