Omnichannel Analytics Lead

academy; Katy (TX); On-site; USD 65,000 - 90,000; Full time

Job summary

Academy Sports + Outdoors is seeking a Data Analyst to drive marketing and e-commerce analytics, focusing on experimentation, customer behavior, and omnichannel performance. You will collaborate with analytics, product, and IT teams to craft data-driven recommendations and dashboards that empower business decisions.

Ideal candidates have 3+ years in data analytics, strong SQL, Python or R, and experience with Adobe/Google Analytics in cloud environments.

Qualifications

• ,

Responsibilities

• Experimentation & A/B Testing: Design and analyze rigorous A/B and multivariate tests across marketing campaigns, e-commerce experiences, and customer touchpoints.
• Web & Business Analytics: Analyze digital and transactional customer behavior to evaluate omnichannel strategies and identify friction points.
• Data Product Ownership: Collaborate with data engineers to define data requirements and build scalable, cloud-based analytics solutions (dashboards, data marts).
• Agentic Analytics & Recommendation Systems: Contribute to analytics frameworks that automate insights and next-best-action recommendations.
• Collaboration: Work with product, finance, marketing, operations, and IT to align data solutions with business objectives.
• Data Visualization & Communication: Create visualizations and presentations to communicate insights to technical and non-technical audiences.
• Mentorship & Leadership: Guide analysts and promote accountability and data-driven impact.
• Innovation: Stay current with analytics tools and industry trends to drive continuous improvement.

Skills

Python

R

Scala

SQL

Adobe Analytics

Google Analytics

BigQuery

Snowflake

Redshift

A/B Testing

Multivariate Testing

Data Visualization

Excel

PowerPoint

Education

Bachelor's degree in quantitative field

Tools

Cloud dashboards

Data Marts

Job description

Academy Sports + Outdoors is seeking a Data Analyst to drive marketing and e-commerce analytics, focusing on experimentation, customer behavior, and omnichannel performance. You will collaborate with analytics, product, and IT teams to craft data-driven recommendations and dashboards that empower business decisions.

Ideal candidates have 3+ years in data analytics, strong SQL, Python or R, and experience with Adobe/Google Analytics in cloud environments.