Omnichannel Analytics Lead — Data-Driven Insights

Academy Sports + Outdoors; Katy (TX); On-site; USD 70,000 - 100,000; Full time

Job summary

Academy Sports + Outdoors is seeking a data analyst to drive marketing, customer analytics, and ecommerce insights. You will design experiments, analyze omnichannel performance, and collaborate with data engineering to deliver scalable analytics solutions.

The ideal candidate has a BA/BS in a quantitative field and 3+ years in data analysis, with Python, SQL, and cloud data tools like BigQuery, Snowflake, or Redshift. Strong communication and storytelling with data are essential.

Qualifications

• Bachelor’s degree in a quantitative field or equivalent work experience.
• 3+ years data analyst experience in marketing, customer analytics, or ecommerce.
• Experience with retail analytics and omnichannel is a plus.
• Strong SQL, Python, R, or Scala programming proficiency.
• Experience with cloud data environments (BigQuery, Snowflake, Redshift).
• Excellent communication and storytelling with data.

Responsibilities

• Design and analyze A/B and multivariate experiments.
• Analyze digital and transactional customer behavior across platforms.
• Collaborate with data engineering to build dashboards and data marts.
• Enable self-serve analytics and reporting with stakeholders.
• Create compelling visualizations and data narratives.
• Mentor other analysts and drive data-driven decision making.
• Stay current with analytics tools and industry developments.

Skills

Time management

Independent work

Team collaboration

Communication skills

Python

R

Scala

SQL

BigQuery

Snowflake

Redshift

Adobe Analytics

Google Analytics

Quantum Metric

Experiment design

Data storytelling

Excel

PowerPoint

Written communication

Education

Bachelor’s degree in quantitative field

Tools

Python

R

Scala

SQL

BigQuery

Snowflake

Redshift

Job description

Academy Sports + Outdoors is seeking a data analyst to drive marketing, customer analytics, and ecommerce insights. You will design experiments, analyze omnichannel performance, and collaborate with data engineering to deliver scalable analytics solutions.

The ideal candidate has a BA/BS in a quantitative field and 3+ years in data analysis, with Python, SQL, and cloud data tools like BigQuery, Snowflake, or Redshift. Strong communication and storytelling with data are essential.