Senior Analytics Specialist – Optimization (REMOTE)
Posted:
Position: Senior Analytics Specialist – Optimization (REMOTE)
Date Posted: June 21, 2026
Industry: Retail / Sports / Data & Analytics
Employment Type: Full Time (Remote – United States)
Experience: 5–7 years in analytics, data science, or related field
Qualification: Bachelor’s Degree in Statistics, Computer Science, Business Analytics, Economics, Mathematics, Political Science, Finance, Engineering, Liberal Arts, or related field
Salary: $76,500 – $124,600
Location: United States (Remote)
Company: DICK’S Sporting Goods
Description:
DICK’S Sporting Goods is a leading retail brand driven by a passion for sports and a mission to help athletes achieve their goals. The company fosters an inclusive and innovative environment where data-driven decision-making plays a key role in enhancing customer experience and business performance.
They are currently seeking a Senior Analytics Specialist – Optimization to support enterprise-wide digital experimentation and optimization initiatives. This role focuses on A/B testing, multivariate experimentation, personalization strategies, and advanced analytics to improve digital engagement and conversion outcomes across platforms.
The ideal candidate will bring strong analytical expertise, technical proficiency, and the ability to mentor and guide analytics teams while building scalable testing frameworks and reporting standards.
Key Responsibilities:
• Design, develop, and execute A/B and multivariate testing programs
• Analyze behavioral and performance data to generate actionable insights
• Build scalable testing methodologies and reporting frameworks
• Collaborate with business, technology, and data teams on optimization initiatives
• Develop queries, dashboards, and analytical processes to support decision-making
• Train and mentor analytics team members on tools and best practices
• Support ad-hoc analytics requests and reporting needs
• Establish standards for experimentation and data-driven optimization
• Drive improvements in customer experience and conversion performance
Requirements:
• 5–7 years of experience in analytics, data science, or related field
• Strong experience with Adobe Target, Adobe Analytics, and A4T
• Proficiency in SQL; knowledge of R and/or Python
• Experience with Databricks, GCP, or Azure
• Familiarity with BI tools such as Power BI or Qlik
• Strong understanding of A/B testing, multivariate testing, and experimental design
• Bachelor’s Degree in a relevant field
• Excellent communication and stakeholder collaboration skills
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