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Make Up Beauty Data Analyst Jobs (NOW HIRING)

Loss Prevention Systems and Data Analyst About Sally Beauty Holdings, Inc. At SBH, our purpose is ... Sally Beauty offers products for hair color, hair care, nails, and skin care to retail customers ...

Loss Prevention Systems and Data Analyst About Sally Beauty Holdings, Inc. At SBH, our purpose is ... Sally Beauty offers products for hair color, hair care, nails, and skin care to retail customers ...

Senior Data Analyst (Remote)

Yonkers, NY · Remote

$89K - $112K/yr

The data analysts make up a critical component of our client implementation team, as Solovis clients need good historical data to maximize the power of the Solovis platform. Our Data Analysts embrace ...

We care about the people that make up our customers, colleagues, and communities. * Make it about ... POSITION TITLE Principal Data Analyst POSITION LOCATION This position is available to Virginia ...

Senior Data Analyst

San Diego, CA · On-site

$91K - $115K/yr

Physical operations make up a massive slice of the global economy but havent benefited from ... The Senior Data Analyst will be a core technical contributor to our Data Analytics team with deep ...

Loss Prevention Systems and Data Analyst About Sally Beauty Holdings, Inc. At SBH, our purpose is ... Sally Beauty offers products for hair color, hair care, nails, and skin care to retail customers ...

Loss Prevention Systems and Data Analyst About Sally Beauty Holdings, Inc. At SBH, our purpose is ... Sally Beauty offers products for hair color, hair care, nails, and skin care to retail customers ...

Loss Prevention Systems and Data Analyst About Sally Beauty Holdings, Inc. At SBH, our purpose is ... Sally Beauty offers products for hair color, hair care, nails, and skin care to retail customers ...

Data Analyst, Merchandising

Cerritos, CA · On-site

$100K - $110K/yr

... and beauty styles. Our dynamic platform connects a deeply engaged community of millions of ... Through 16 years of continued investment in technology, data analytics, and innovative marketing ...

Senior Data Analyst

Irving, TX · On-site

$82K - $104K/yr

... natural beauty the region is known for. JOIN OUR TEAM AS A SENIOR DATA ANALYST!! We believe ... analytics isn't a back-office function. It's not a reporting layer bolted onto the business after ...

Quince is a tech company disrupting the retail industry by putting AI, analytics and automation at ... This role is responsible for delivering consistent, on-brand beauty looks across product detail ...

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Make Up Beauty Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do make up beauty data analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for make up beauty data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Make Up Beauty Data Analyst vs Skincare Data Analyst?

AspectMake Up Beauty Data AnalystSkincare Data Analyst
Required CredentialsBachelor's in Data Science, Marketing, or Beauty IndustryBachelor's in Data Science, Marketing, or Beauty Industry
Work EnvironmentBeauty brands, cosmetics companies, retail storesSkincare brands, cosmetic companies, retail outlets
Industry UsageAnalyzes makeup product sales, trends, consumer preferencesAnalyzes skincare product performance, market trends, consumer data

The Make Up Beauty Data Analyst and Skincare Data Analyst roles share similar credentials and work environments, focusing on analyzing consumer data and product performance within the beauty industry. The main difference lies in their product focus: makeup versus skincare. Both roles help companies optimize marketing strategies and product development based on data insights.

What are the key skills and qualifications needed to thrive as a make up beauty data analyst?

To thrive as a Make Up Beauty Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics, data science, or a related field. Expertise in tools such as Excel, SQL, Python, R, and experience with visualization platforms like Tableau or Power BI are commonly required, along with familiarity with industry-specific databases. Excellent communication, attention to detail, and an understanding of beauty industry trends help analysts translate data into actionable insights for stakeholders. These skills are crucial for making informed business decisions, identifying consumer preferences, and driving product development in the competitive beauty market.

What is a make up beauty data analyst?

A Make Up Beauty Data Analyst is a professional who collects, analyzes, and interprets data related to beauty products, trends, and consumer preferences within the makeup industry. They use statistical tools and data visualization techniques to help companies understand market demands, optimize product lines, and create targeted marketing strategies. Their work supports decision-making for product development and business growth by identifying patterns and insights in large datasets.

How does a make up beauty data analyst typically collaborate with product development and marketing teams?

As a Make Up Beauty Data Analyst, you’ll frequently collaborate with both product development and marketing teams to translate consumer preferences and sales data into actionable insights. You might analyze trends in customer feedback, purchasing patterns, and social media engagement to help inform new product launches or promotional strategies. Regular meetings with cross-functional teams are common, and clear communication is essential for turning complex data into practical recommendations that support business goals. This collaborative environment fosters learning and innovation, allowing you to see the direct impact of your analyses on product success and brand growth.
More about Make Up Beauty Data Analyst jobs
What cities are hiring for Make Up Beauty Data Analyst jobs? Cities with the most Make Up Beauty Data Analyst job openings:
What states have the most Make Up Beauty Data Analyst jobs? States with the most job openings for Make Up Beauty Data Analyst jobs include:
What job categories do people searching Make Up Beauty Data Analyst jobs look for? The top searched job categories for Make Up Beauty Data Analyst jobs are:
Infographic showing various Make Up Beauty Data Analyst job openings in the United States as of August 2026, with employment types broken down into 55% Full Time, 36% Part Time, and 9% Nights. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

LP Systems and Data Analyst

Sally Beauty

Plano, TX

Full-time

Re-posted 19 hours ago


Sally Beauty rating

4.8

Company rating: 4.8 out of 10

Based on 415 frontline employees who took The Breakroom Quiz

23rd of 24 rated health and beauty retailers


Job description

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.


Hybrid: Ideal candidate must live in a commutable distance to our corporate headquarters in Plano, Texas, in order to be considered for this role. Candidate must work in office 3 days a week, 2 days working remotely. 

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 achieve plan/task; keeps calm while under pressure; doesn’t dwell on past

  • Talent Builder – shares knowledge and builds skills within the team; actively involved in talent process; considers how to include others to create sense of involvement; invest times as informal/formal coach or buddy; looks for ways to acknowledge, motivate, and value the team

  • Effective Communicator – articulates well when sharing information; self-aware of impact/style to engage others; effective in adapting style where necessary; shares information timely; encourages others to express views and opinions demonstrates active listening and uses probing questions

  • Team Builder – understands importance of teamwork; shares information; provides support and collaborates with a wide number of colleagues/teams and customers; humble when operating within team; understands importance of collaboration and inclusion

  • Customer Focused Partner – demonstrates solid understanding of the customer; uses customer insights to help improve; seeks to improve customer journey/experience; advocate of the customer; holds self (and others where relevant) to a good standard of customer service

  • Strategic Thinker – brings new, strategic thinking and ideas to leader/team for consideration; contributes to ensure effective delivery of strategic plans; provides ideas and suggestions to improve upon strategies/plans to improve business performance and/or operations

  • Big Picture Thinker – understands how the department and other key departments operate; contributes to and champions change plans to improve processes; knows how decisions could impact other departments

  • Results Driver – holds self and team to good standard of delivery; gives ideas on how to make improvements; effective with own/team time management; focuses on the right priority; self-motivated; adapts easily to change and demonstrates grit and determination

  • Problem Solver & Decision Maker – uses the right information to make good decisions; gathers and examines relevant information; make recommendations and takes actions to solve problems; considers important/impact of decisions on department/operations and others

Working conditions & physical requirements

This will be a hybrid role required to be onsite at the corporate office on specified days. The work environment generally involves everyday risks or discomforts which require normal safety precautions typical of such places as offices, meeting and training rooms, retail stores, and residences or commercial vehicles, e.g., use of safe work practices with office equipment, avoidance of trips and falls, observance of fire regulations and traffic signals, etc. The work area is adequately lighted, heated, and ventilated.

The work is sedentary. Typically, the employee may sit comfortably to do the work. However, there may be some walking, standing, bending, and occasionally requires carrying, moving and setting up of computers, for example desktops, monitors, printers, and other small hardware in the testing lab.

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