RetailNext is hiring a
Retail Engagement Analyst

Summary

Join RetailNext's Go-to-Market team as a Retail Engagement Analyst and help maintain leadership in retail analytics by working with various companies to understand shopper behavior and optimize the consumer experience through big data analytics.

Requirements

• 2+ years of experience in analytics and insights, presenting findings to cross-functional teams and clients
• Ability to partner with customers to translate strategic objectives and data points
• Strong critical thinking skills, able to work independently and handle ambiguity
• Knowledge of Tableau or other visualization tools is a plus
• Strong interpersonal skills and experience building collaborative relationships
• Experience presenting complex data and recommendations to customers is a plus
• Proficiency in Microsoft Office, especially Excel and PowerPoint
• A plus but not required: experience analyzing large data sets with Python, R, or other programming languages (Python preferred)

Responsibilities

• Analyze shopper movement data to uncover insights and develop new methodologies as needed
• Visualize data to understand shopper behavior within retail spaces
• Evaluate current processes and implement improvements to enhance efficiency
• Identify challenges in data, project scope, or timelines and provide thoughtful solutions
• Collaborate with R&D and Product teams to develop new features
• Integrate new datasets, including CRM and beacon data, into analyses to enrich insights
• Understand key data points from customers and manage floor plans to collect necessary data
• Lead weekly working sessions to ensure customers understand and act on data insights
• Onboard new users as needed and manage the lifecycle of each customer
• Partner with the Account team to assist with zone maintenance and developing video maps
• Coordinate with internal teams to support customer needs and serve as the primary point of contact for customers, addressing their concerns and following up promptly
• Drive platform and data use and adoption
• Build and nurture relationships with additional departments within customer organizations
• Provide ongoing education, communication, and relationship management
• Ensure the success of lab projects by uncovering additional use cases and reviewing customer data with insights teams
• Support escalation and management of issues as needed
• Serve as a technical counterpart to the Consulting and Account teams, translating client requests into technical scopes and outputs into shopper behavior insights
• Use quantitative analysis and data visualization to tell the story behind the numbers and provide actionable recommendations
• Attend client calls and meetings to understand needs, and explain results, and methodologies
• Partner with the Account team to help customers operationalize data for strategic decisions
• Lead quarterly business reviews