Product Analyst II – Store Checkout (REMOTE)

DICK'S Sporting Goods

1d•$83,000 - $138,200•Remote

About The Position

At DICK’S Sporting Goods, we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve. If you are ready to make a difference as part of the world’s greatest sports team, apply to join our team today! OVERVIEW: Welcome to Product Management at DICK’S Sporting Goods, where we specialize in delivering retail excellence along every aspect of the customer journey. Our mission focuses on crafting intuitive, easy-to-use products that span across our business. We are looking for a new team member to join our technology team, partnering with product teams to bring product-market viability ideas that inspire, innovate and deliver elevated experiences for our customers and products. Like an Athlete, our technology teams focus on speed, flexibility, durability, and resilience so that we are always ready for the next ‘play.’ In Store Technology, we obsess over delivering tools and services that empower our teammates to create a seamless checkout experience for every Athlete who shops with us. Our Store Checkout team is dedicated to ensuring the final moment of the shopping journey is as smooth and delightful as the first. Come join a team where our mission is to make every store checkout experience a win! This role will be responsible for creating and managing a wide range of artifacts that clearly describe our in‑store checkout and point‑of‑sale (POS) ecosystem, including functional and non‑functional requirements, end‑to-end checkout flows, hardware and software integration points, data mapping, acceptance testing, and issue triage and resolution. A great candidate understands the fundamentals of retail checkout operations, POS systems, and incident management; especially the integrations and data flows required to support rapid, reliable, and secure transactions within a retail environment. As a Product Analyst II, you will work closely with product managers, product designers and software engineers to deliver products and services that align to strategic priorities as well as achieve product-market fit. You will be an active participant in the organization and deliver high-quality products through the following: Analytical Services As a Product Analyst II, you will support strategic analytic services in partnership with technology and business teammates. You will work within a portfolio domain and function to develop an in-depth understanding of the business, processes, services and operations. Data Steward Where appropriate, you will act as a technical data steward for priority data domains where you will support efforts in documenting data definitions and key business metric calculations. This role is a critical enabler to ensuring the data moving through the system is governed and accurate. Technical Requirements The Product Analyst II role partners closely with product managers to understand the strategic vision and roadmap of a product. You will work with the product manager on your team to identify and document technical specifications for product development. You will work with software engineering, data engineering and architecture to determine how to develop the solution to meet the product and customer expectations. As part of the team, you are accountable to partner with software engineering and product management on the testing and acceptance of technical requirements before shipping to production. Operations Support You will implement maintenance and efficiency procedures, monitor product health and stability, gather system statistics and troubleshoot reported errors. Working back with the product team to ensure prioritization and resolution as quickly as possible.

Requirements

Experience working with product management, product design and software engineering in a modern development environment
Understanding of software development lifecycle
Foundational understanding of Scrum and Agile methodologies
Experience with story writing, requirements gathering, and use case identification alongside product managers and designers
Knowledge of business intelligence tooling and code base analytical tools
Advanced understanding of metrics and monitoring methodologies
Experience in building data requirements, data models and source to target mappings
Experience as a data steward and executing on data governance requirements
Comfortable working, combining and analyzing data from different source and maturity levels
Use of graphs, infographics and other methods to visualize data and support KPI measurement
Ability to navigate and collaborate across technology and business partners
Strong written and verbal communication skills
Excellent organizational skills
Strong deductive reasoning skills & experience with root-cause analysis frameworks
Curious attitude and desire to learn
Experience across the various touchpoints for in-store and omni retail

Responsibilities

Collects and organizes data to solve problems or answer questions
Asks insightful questions to drive actionable insights
Partners with the product management organization to share insights that inform product roadmaps
Works closely with Product Management and Product Design to define opportunities for improvement within product portfolio
Solves problems with a fresh perspective rooted in data
Transforms meaningful data into digestible and actionable insights
Provides critical analysis without bias or expectations to inform product strategy
Uses data analysis to effectively communicate the “why”
Creates methodical and systemic guides for appropriate use and transformation of data
Uses graphs, infographics and other methods to visualize data and support KPI measurement
Monitors and plans for appropriate compliance requirements
Acts as a data steward and implements data governance requirements
Performs ad hoc analytics to resolve and inform accurate requirements gathering
Documents data definitions and key business metric calculations
Documents technical requirements in user story format for data engineering, machine learning engineering and software engineering teams to execute against
Performs quality assurance testing on technical specifications to confirm feature acceptance
Mines and merges data to develop insights on key business and technology challenges