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&lt;p&gt;RetailNext&#39;s Go-to-Market team is seeking a Retail Engagement Analyst to help maintain our leadership in the retail analytics space. This role offers the opportunity to work with a variety of companies, from large traditional brands to digital natives, helping them understand shopper behavior and optimize the consumer experience through big data analytics.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Key Responsibilities:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Data Expertise and Retail Engagement Management:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Analyze shopper movement data to uncover insights and develop new methodologies as needed. Visualize data to understand shopper behavior within retail spaces.&lt;/li&gt;
&lt;li&gt;Evaluate current processes and implement improvements to enhance efficiency. Identify challenges in data, project scope, or timelines and provide thoughtful solutions.&lt;/li&gt;
&lt;li&gt;Collaborate with R&amp;amp;D and Product teams to develop new features. Integrate new datasets, including CRM and beacon data, into analyses to enrich insights.&lt;/li&gt;
&lt;li&gt;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.&lt;/li&gt;
&lt;li&gt;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.&lt;/li&gt;
&lt;li&gt;Drive platform and data use and adoption. Build and nurture relationships with additional departments within customer organizations. Provide ongoing education, communication, and relationship management.&lt;/li&gt;
&lt;li&gt;Ensure the success of lab projects by uncovering additional use cases and reviewing customer data with insights teams.&lt;/li&gt;
&lt;li&gt;Support escalation and management of issues as needed.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Project Engagement:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Serve as a technical counterpart to the Consulting and Account teams, translating client requests into technical scopes and outputs into shopper behavior insights.&lt;/li&gt;
&lt;li&gt;Use quantitative analysis and data visualization to tell the story behind the numbers and provide actionable recommendations.&lt;/li&gt;
&lt;li&gt;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.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Qualifications:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;2+ years of experience in analytics and insights, presenting findings to cross-functional teams and clients.&lt;/li&gt;
&lt;li&gt;Ability to partner with customers to translate strategic objectives and data points.&lt;/li&gt;
&lt;li&gt;Strong critical thinking skills, able to work independently and handle ambiguity.&lt;/li&gt;
&lt;li&gt;Knowledge of Tableau or other visualization tools is a plus.&lt;/li&gt;
&lt;li&gt;Strong interpersonal skills and experience building collaborative relationships.&lt;/li&gt;
&lt;li&gt;Experience presenting complex data and recommendations to customers is a plus.&lt;/li&gt;
&lt;li&gt;Proficiency in Microsoft Office, especially Excel and PowerPoint.&lt;/li&gt;
&lt;li&gt;A plus but not required: experience analyzing large data sets with Python, R, or other programming languages (Python preferred).&lt;/li&gt;
&lt;/ul&gt;

Retail Engagement Analyst