LP Systems and Data Analyst

Loss Prevention Systems and Data Analyst

About Sally Beauty Holdings, Inc.

At SBH, our purpose is to inspire a more colorful, confident, and welcoming world. We are the leader in professional hair color, selling and distributing professional beauty supplies across 11 countries through our Sally Beauty and Beauty Systems Group businesses. Sally Beauty offers products for hair color, hair care, nails, and skin care to retail customers looking for salon quality products at a value price.

Beauty Systems Group, branded as Cosmo Prof or Armstrong McCall stores, along with its direct sales consultants, sell professionally branded products intended for use and resale by salons to retail consumers.

About the role

The Loss Prevention Systems and Data Analyst plays a critical role in supporting the Loss Prevention (LP) organization through data, systems, and analytics. This position owns the development, maintenance, and performance of LP reporting systems, dashboards, and case management tools.

Serving as the primary analytical subject matter expert for Loss Prevention, this role transforms complex data into actionable insights that support strategy, enable field execution, and drive measurable reductions in inventory shrink and operational losses across the business.

Responsibilities

* Lead the design, development, and continuous improvement of Loss Prevention systems, including dashboards, reporting suites, analytical models, alerts, workflows, automations and exception‑based reporting tools.

* Ensure data accuracy, integrity, user maintenance, and overall system performance across all LP‑owned platforms (e.g., Exception‑Based Reporting, Case Management systems, CCTV integrations).

* Serve as the primary point of contact for vendors and cross‑functional partners to implement new data sources, system enhancements, and expanded capabilities.

* Translate complex data and trends into clear, actionable insights for Loss Prevention leadership and other business partners.

* Lead departmental and cross‑functional projects using advanced analytical techniques to identify risks, trends, and opportunities for optimization.

* Partner closely with the Loss Prevention field team to refine analytics based on investigative outcomes and emerging shrink or fraud trends.

* Lead training and onboarding for new system users, collaborating with vendors as needed to ensure ongoing education and adoption.

* Travel to store events (physical inventory, training) and industry conferences as needed (~5%).

Knowledge, skills & abilities requirements

* Bachelor's degree preferred in Business, Data Analytics, Finance, Accounting, Criminal Justice, or a related field; equivalent relevant experience may be considered.

* 3-5 years of experience in retail loss prevention analytics, shrink analysis, inventory accuracy, or other data‑driven retail or operations roles.

* Experience with Exception‑Based Reporting, Case Management systems, and CCTV platforms preferred.

* Experience with Agilence and Jira is a plus.

* Strong pattern recognition and the ability to analyze large datasets from retail, inventory, or POS systems to identify root causes.

* Proficiency in Microsoft Office, including Excel, PowerPoint, Word, and Outlook.

* Ability to lead and work well with others to drive results.

* Positively adapts and pivots to sudden change.

* Passionate about continuous learning and personal growth.

* Big picture thinker who is not afraid to innovate and ask questions. Always curious.

* Strong analytical, investigative and problem-solving skills.

* Effective communicator both written and verbal.

* Strong time management skills, proven ability to manage multiple tasks and projects.

* Proven ability to work with minimal direct supervision.

Competencies & attributes

* Passionate Learner - learns from different situations; asks questions to gain further understanding; receptive to feedback; applies leanings to their role; shares learnings; allocates time to learning; seeks additional responsibility to develop skills and/or support others in learning

* Flexible & Agile Adapter - responsive and positive to change; works well with little direction; looks for solutions to…