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Asset Protection Business Intelligence Analyst II

Job in Bolingbrook, Will County, Illinois, 60440, USA
Listing for: ULTA Beauty
Full Time position
Listed on 2026-02-07
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst
Job Description & How to Apply Below

OVERVIEW

Be a part of an exceptional team that leads company shrink mitigation and safety initiatives while keeping our Guests, Associates, and Communities at the center of everything they do. The face of retail is constantly changing, and this agile team is at the forefront of the latest Asset Protection technology and analytical tools that help protect company assets every day. Through operational excellence, innovation, and collaboration, the Asset Protection team is exceptional at quickly designing and implementing innovative new solutions for diverse Loss Prevention challenges while simultaneously building strong partnerships across Human Resources, Stores Operations, Supply Chain, and Compliance teams.

Do you enjoy investigating company profitability opportunities? Are you a proactive critical thinker who loves executing a strategic business plan? Then consider joining the Asset Protection team today!

Under general supervision, the Asset Protection Business Intelligence (APBI) Analyst II is responsible for transforming complex data into actionable insights to reduce inventory shrinkage, prevent theft and fraud, and improve overall operational safety and profitability. This role requires a strong blend of analytical skills, business acumen, and an understanding of loss prevention principles and technologies to identify trends, support the design of reports and dashboards, and recommend data-driven strategies to management, enterprise leaders, stakeholders, and various cross‑functional business partners.

In all that we do, we strive to uphold the company’s values in which we win together, give wow experiences, improve always, do what’s right, champion diversity and, love what we do and own what we do.

PRINCIPAL JOB DUTIES & RESPONSIBILITIES
  • Data Analysis & Trend Identification:
    Collect and analyze large datasets from various sources (e.g., E  systems, inventory management software, security footage, incident reports) to identify loss trends, patterns, and areas of risk.
  • Reporting & Data Visualization:
    Support development and maintain dashboards, reports, and data visualizations using BI tools (e.g., Power BI, Excel, SQL…) to track KPI’s and operational metrics related to Asset Protection efforts.
  • Trend Identification and Predictive Modeling:
    Utilize statistical analysis and/or machine learning techniques to forecast potential loss areas and develop proactive prevention strategies.
  • Strategic Planning & Recommendations:
    Fluency in Crime Analytics and ability to translate complex analytical findings into clear, concise, and actionable recommendations for management and various business units (e.g., store operations, finance, supply chain) to mitigate risk and improve processes.
  • Policy and Procedure Enhancement:
    Assist in the development, implementation, and refinement of loss prevention policies and procedures based on data‑driven insights.
  • Training &

    Education:

    Support the development and delivery of training programs for employees on loss prevention techniques, system usage, and best practices.
  • Investigation Support:
    Collaborate with the Asset Protection Field, ORC, Real Estate and People Success teams to provide data and evidence that supports internal and external investigations, including reviewing security footage and transaction data.
  • Cross‑Functional

    Collaboration:

    Create and lead cross‑functional "test and learn" case studies on behalf of the department and partner with Operations, Finance, IT, and People Success teams to align loss prevention initiatives with broader business objectives and foster a culture of security awareness.
  • Project Management as assigned by the AP Business Intelligence Manager.
  • QUALIFICATIONS
    • An undergraduate degree (or 3‑5 years relevant work experience) is preferred.
    • Proficiency in data analysis and BI tools, including Excel, SQL, and data visualization platforms (e.g., Power BI). Preferred experience in Alteryx.
    • Strong analytical and problem‑solving skills with the proven ability to interpret complex data sets, identify trends, and make data‑driven decisions.
    • Excellent written and verbal communication skills, with the ability to present data story conclusions clearly and…
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