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.

As a Senior Product Analyst, you will partner with marketing professionals, product managers, data engineers and data modelers to deliver products and services that align to our personalization program. You will be an active participant in the organization and deliver high-quality products through the following:

Analytical Services

As a Senior Product Analyst, you will lead strategic analytic services in partnership with technology and business teammates. You may work across multiple technology portfolios, business domains and functions 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 within data domains.

Technical Requirements

The Senior Product Analyst role partners closely with product managers to understand the strategic vision and roadmap of a product. You will work with several product managers across several product teams 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.

Job Duties & Responsibilities:

Leadership

Be a Steward of Data

• Leads enterprise data governance programs within a given domain
• Establishes strong partnership with business stewards and lead data stewardship committee efforts
• Monitors and plans for appropriate compliance requirements
• Acts as a data steward and implements data governance requirements

Strategy

Embrace Curiosity and Continuous Learning

• 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
• Pushes experimentation to find creative ways to solve problems
• Effectively Communicate 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
• Marries data and insights to inform a strategy that benefits both the business and the customer
• Visualizes data in ways that help partners understand and interpret the data through storytelling

Execution

Execute & Deliver

• 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

• 5 - 7 Years of related experience
• Experience working in Retail or Merchandising environments
• Experience using BI tooling like Qlik, Tableau, or PowerBI
• Experience using code base analytical tools like python, or pandas

The target salary range for this position is between $ 95,200 and $158,800. This is part of a competitive total rewards package that could include other components such as: incentive, equity and benefits. Individual pay is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all teammate pay regularly to ensure competitive and equitable pay.