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Field Business Intelligence Analyst

Job in Plano, Collin County, Texas, 75086, USA
Listing for: Sally Beauty Holdings, Inc.
Full Time position
Listed on 2026-07-07
Job specializations:
  • Business
    Business Intelligence, AI Business & Operations, Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 70000 - 90000 USD Yearly USD 70000.00 90000.00 YEAR
Job Description & How to Apply Below
Position: FIELD BUSINESS INTELLIGENCE ANALYST

FIELD BUSINESS INTELLIGENCE ANALYST (Retail Store Operations)

Trending

Job Description

Field Operations Intelligence & Automation Analyst (Retail Store Ops)

Candidates must have previous experience working with Retail Store Operations.

This position is hybrid working from our Legacy West Support Center located in Plano, Texas - Candidates must currently reside in the DFW Metroplex.

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 Field Operations Intelligence & Automation Analyst is responsible for designing and delivering operational reporting, insights, and automation solutions that improve visibility, prioritization, and execution across store operations.

This role partners with field leadership and cross-functional teams to translate data into clear, actionable insights and scalable reporting outputs. The position focuses on improving how operational information is delivered to the field by simplifying reporting, reducing manual effort, and enabling faster decision-making.

  • Opportunity to shape how operational insights are delivered across a large store footprint
  • Direct impact on improving decision-making and execution at scale
  • Focus on building scalable, automated solutions rather than manual reporting processes

Responsibilities

  • Leverage AI-driven analysis to identify chainwide operational efficiency opportunities and emerging performance trends
  • Translate complex operational signals into actionable recommendations that improve consistency, productivity, and decision‑making across the business
  • Partner across systems and data sources to uncover opportunities for end‑to‑end efficiency improvements using advanced analytics and AI tools
  • Coordinate back‑end systems, workflows, and automation capabilities to deliver scalable efficiency gains across store operations
  • Develop exception-based reporting logic that focuses leaders on the most important actions
  • Build and maintain automated workflows to streamline report generation and distribution
  • Identify and actualize opportunities for automation to improve field process to increase efficiency and accuracy
  • Partner with cross‑functional teams to ensure reporting aligns with business priorities and field needs
  • Continuously improve reporting structure, clarity, and usability for field‑facing outputs

Knowledge, skills & abilities requirements

Experience in analytics, business intelligence, or operations reporting

Strong proficiency in tools such as Power BI, Excel, or similar reporting platforms

Experience with workflow automation tools (e.g., Power Automate) preferred

Ability to translate data into clear, actionable insights for operational audiences

Strong problem‑solving and analytical thinking skills

Experience working in a fast‑paced, cross‑functional environment

Data Analytics & Insights –Analyzes data to identify trends, opportunities, and performance drivers.

Business Intelligence & Reporting –Creates dashboards and reports that support operational decision‑making.

AI & Automation –Leverages AI and automation tools to improve efficiency and accuracy.

Problem Solving –Converts complex data and business challenges into actionable solutions.

Process Improvement
– Streamlines workflows and drives operational efficiencies.

Cross‑Functional Collaboration
– Partners across teams to align analytics with business priorities.

Communication & Data Storytelling –Translates data into clear, meaningful insights for stakeholders.

Strategic Thinking –Uses data to support business goals and continuous improvement.

Project & Priority Management –Manages multiple initiatives and…

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