Senior Manager of Analytics - Merchandising (REMOTE)

DICK'S Sporting Goods

5d • $95,200 - $158,800 • Remote

About The Position

This Senior Manager of Analytics – Merchandising role sits at the intersection of merchandising, supply chain, store operations and technology, and is critical to leveraging data to drive insights and AI applications to fuel our differentiated assortment, pricing & promotion strategies, merchant planning, and supply chain optimization. As the Senior Manager of Analytics – Merchandising, you will work with merchant and supply chain partners, data evangelists and technologists to ensure that we offer the best, most relevant product to our customers when and where they want it – via data-informed, analytical insights and data-fueled applications (AI). You will own the data, insights and measurement strategy for Inventory end-to-end, acting as the connector and strategic guide for business and analytical leaders across domains and initiatives. You will be the go-to for data and analytics in the inventory space, partnering with data leaders and business stakeholders to define measurement strategy and metric definitions, inform data model requirements, and define how we leverage AI to optimize our inventory landscape. You will manage a complex matrixed team to deliver impactful, outcome-oriented insights that drive both strategy and measurement in the inventory space. You will demonstrate a keen ability to guide strategy and act as a data-led advisor to diverse stakeholders, always thinking end to end and omni-channel, serving as a visionary in the analytics space. You will be a strategic, action-oriented leader responsible for establishing a high-performing Inventory/Supply Chain analytics function. You will be an infectiously curious leader with an extensive background in data analysis, capable of steering the strategic direction of our data initiatives with stakeholders while also partnering closely with your team to build our data and analytics foundations.

Requirements

• Bachelor's Degree or equivalent level Economics, Statistics, Data Science, Liberal Arts or Related Field
• 10-15 years of experience
• SQL, R, Python, experience with BI tools (Tableau, Qlik, PowerBI)
• Testing and Optimization Tools
• GCP or Azure Experience
• 3-5 years of managerial experience

Nice To Haves

• Master’s degree preferred
• advanced in SQL
• advanced in R and/or Python
• experience with BI tools (Tableau, Qlik, PowerBI)
• experience in Databricks, GCP or Azure
• advanced knowledge of test design, analysis, and best practices.
• Experience with A/B testing software preferred (APT/MarketDial, etc.).
• experience with data model development/design, regression analysis, forecasting and simulations
• mastery of written and verbal communication, including Power Point creation, storytelling, and visual
• 10-15 years of experience, including 5-7 years of Merchant Analytics with experience in Inventory Optimization, Merchandising and Supply Chain experience
• Retail (orB2C) strongly preferred
• Advanced knowledge of merchant operations and merchant analytics
• Prior analytics roles strongly preferred, with robust personal experience leveraging data to drive insights, developing statistical / predictive models and inform strategy
• Demonstrated experience developing, deploying and/or applying: Measurement best practices for model validation and A/B testing, along with other proven analytical frameworks (such as Diff-in-Diff)
• Business cases and conducting opportunity sizing
• Robust business performance reporting and informing data and reporting requirements
• Econometric modeling
• Segmentation, clusters, and models (pricing / promotions; forecasting)
• Experience in critical thinking within the Merchant Operations space, yielding credibility in analytical and measurement recommendations
• Ability to translate customer experience and merchandising needs into inputs to leverage AI to build, test and scale machine learning models

Responsibilities

• Sets goals, priorities and processes related to Analytics as a function and in support of covered domains (across Merchandising & Inventory teams) while overseeing multiple initiatives, flexing priorities as business needs shift and serving as a point of escalation.
• Guides, coaches and mentors junior analysts to develop high quality, timely analytical deliverables, while also guiding their career development.
• Guides engagement and structure within the broader team.
• Serves as a strategic advisor to business stakeholders, including executive levels.
• Helps guide and shape strategic business decisions based on data, acting as the translator between data and deep insights from which to drive strategy.
• Supports proactive discovery and goal setting, reactive root cause analysis or measurement, and ad hoc support for trend and metric interpretation / definition.
• Partners with Data Engineering teams to design scalable data pipelines and data warehousing solutions, inform data model requirements, and prototype and strategize needed reporting elements.
• Leads the analytics support for business partners through development of executive-facing deliverables, with succinct storylines and project plans, demonstrating mastery of written and verbal communication.
• Works with business leaders to develop actionable insights and to translate analytics into meaningful business strategies through storytelling.
• Manages an ongoing testing portfolio and prioritization for the domain, presenting key findings, testing summary and communication of the testing portfolio to key executives.
• Tests both business strategies and technology improvements to ensure positive business results, guiding cross-functional teams in robust test measurement approaches.
• Analyzes and communicates test results cross-functionally and to leadership to guide investments decisions.
• Pioneers new data sets and concepts and drives the creation of common metrics with goals and benchmarks for application, further partnering with technology, stakeholders and reporting teams to drive data democratization and usage of metrics across the enterprise to leverage for effective performance tracking.
• Demonstrates ownership and leadership by personally carrying out advanced data analysis to discover and communicate actionable insights.
• Leverages common tools and platforms (e.g. SQL, Databricks, GCP, Excel), and/or vendor platforms to query, join, extract, and manipulate raw data from disparate sources to tell a comprehensive story with key insights and recommended actions.
• Partners with Technology and Data Science teams to develop/manage various models (pricing and promotions econometric models; supply chain and store level allocation optimization) and apply measurement where testing environments are more obscure.
• Manages a team of analysts, placing each teammate in the best position for them individually, and the team as a whole, to maximize value for the team and organization.
• Identifies teammate strengths and opportunities, providing open and honest feedback on a regular basis, in order to elevate individuals.
• Develops and coordinates the growth of specialized skills such as analytics, testing, and technological implementation to enable the team to successfully achieve goals.
• Develops business cases to secure additional resources to meet capacity.
• May serve as the primary vendor relationship manager for analytical toolsets.
• Benchmarks DICK’S against best-in-class analytics organization to identify strengths and opportunities for DICK’S, keeping up-to-date on current trends in the industry.

Benefits

• competitive total rewards package that could include other components such as: incentive, equity and benefits.
• DICK'S Sporting Goods complies with all state paid leave requirements.
• We also offer a generous suite of benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior