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Senior Analytics Manager, Customer Insights

Posted on Apr 6, 2021 by Chewy

Dania, FL 33004
Retail Trade
Immediate Start
Annual Salary

Chewy is looking for a Senior Analytics Manager, Customer Insights to join our Merchandising Analytics Team. In this role, you will be directly responsible for delivering customer-focused analyses and recommendations using both descriptive and predictive analytics techniques. You will be responsible for surfacing strategic insights on customer behavior (engagement RFM, retention, product-mix), customer needs (pricing, product, convenience, experience, etc.), and existing/new propositions (loyalty programs, sales campaigns, discounted offers, etc.) across various segments and marketing channels. You will also be responsible for developing reports and data tools to evaluate consumer behavior and customer lifetime value.

The ideal candidate has proven experience delivering high-quality and insightful analyses, building data tools and processes that scale, along with superior analytical, technical, and financial acumen. The ideal candidate excels at both Thinking Big and Operating at Depth, demonstrating exemplary skills analyzing large data sets and turning analyses into clear and actionable insights. Strong written and verbal communication skills are required as this role will interface directly with executive leadership and is expected to influence cross-functional teams through storytelling with clear, data-driven insights.

What Youll Do:

Analyze customer and marketing data sets to surface insights and recommendations that influence decision making across multiple teams
Deliver clear and insightful written analyses on customer cohort behavior, order economics, lifetime value and other customer and marketing dimensions
Proactively monitor existing metrics, develop, and propose new metrics, and work across the organization to make actionable intelligence available to business stakeholders
Develop best-in-class measurement frameworks for evaluating consumer trends, customer cohorts, and impact of marketing strategies on customer lifetime value
Analyze and summarize the results of advanced analytics outputs to clearly describe past performance and predict future consumer trends in both verbal and written form
Partner with Data Science and Analytics teams to continually improve descriptive and predictive analytics techniques
Program manage cross-functional initiatives requiring development of data products and driving accountability across Merchandising and non-Merchandising stakeholders
Independently gather requirements for new and more efficient data sources and partner with data engineering teams to enhance data infrastructure

What Youll Need:

Minimum of Bachelor's degree in Economics, Finance, Math, Statistics or a related degree with analytics and quantitative emphasis; MBA or Masters in Analytics preferred
Minimum 6 years delivering analytics tools and insights in an E-commerce or retail setting
Strong leadership skills with minimum of 2 years managing people
Proven experience delivering customer-focused data visualizations and translating complex data into actionable insights and recommendations
Strong understanding of Ecommerce and retail marketing and customer development strategies
Strong theoretical and functional understanding of statistical and machine learning concepts
Experience analyzing customer cohorts, demographics, cluster analysis, and segmentation
Exemplary stakeholder management and prioritization skills using systems, processes, and scalable frameworks
Proven experience delivering large scale analytics initiatives on tight timelines
Exemplary written and verbal communication skills using data to recommend and drive actions
Advanced Excel skills (data connections, complex formulas, pivot tables; VBA preferred)
Strong data visualization skills using software such as Tableau or complementary visualization tools
Proficiency in SQL and familiarity with cloud-based data storage and extraction processes
Thorough understanding of Financial KPIs and P&L statement
High degree of proficiency creating and interpreting business metrics, executing complex analyses, and connecting multiple data sources to explain business performance
Superior attention to detail and experience building processes to validate data integrity
Proven experience leading teams and delivering results in ambiguous and resource constrained environments
Passion for data and an obsession to use data to drive value for customers and business
Ability to travel up to 10% of the time


MBA, Masters in Analytics, or equivalent advanced academic degree
Project Management Certification
Advanced technical skills using R, Python, or other programming languages
Data modeling experience in Marketing, Merchandising, Finance, Retail/Ecommerce

Reference: 1152696933

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