Senior BI Analyst: Enterprise Dashboards & Data Modeling

Ulta Beauty; Bolingbrook (IL); On-site; USD 112,000 - 113,000; Full time

Benefits offered by this job

Benefits package

Bonus plan eligibility

Job summary

Ulta Beauty seeks a Senior Business Intelligence Analyst to design data models and deliver front-end reporting and dashboards for decision making in Bolingbrook, IL. The role requires strong SQL, Tableau Desktop/Server/Prep, and data warehousing concepts to support merchandising, planning, inventory, and supply chain analytics.

Collaborate with stakeholders, optimize performance, and maintain documentation to ensure reliable data pipelines across enterprise systems.

Qualifications

• Bachelor’s degree in Information Technology or related field.
• 3+ years in IT development, front end reporting, enterprise analytics and large-scale databases.
• 3+ years designing, developing, and maintaining enterprise front-end reporting and dashboards.

Responsibilities

• Develop efficient data models and SQL queries to support front end reporting and visualization solutions.
• Deliver accurate and on time solutions to stakeholders to do their jobs throughout the year.
• Create and update process documentation and/or playbooks to support maintenance of solutions.
• Support ad-hoc and non-project-based requests.
• Support the testing of enterprise system changes and implementations.

Skills

SQL

Data Modeling

ETL/ELT

Tableau

Dashboards

Python/R

Education

Bachelor’s degree in Information Technology, or related.

Tools

Tableau Desktop

Tableau Server

Tableau Prep

SAP HANA Studio

SAP Business Objects

Oracle

SQL Server

GCP

Java

Python

R

Job description

Ulta Beauty seeks a Senior Business Intelligence Analyst to design data models and deliver front-end reporting and dashboards for decision making in Bolingbrook, IL. The role requires strong SQL, Tableau Desktop/Server/Prep, and data warehousing concepts to support merchandising, planning, inventory, and supply chain analytics.

Collaborate with stakeholders, optimize performance, and maintain documentation to ensure reliable data pipelines across enterprise systems.