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Data Systems Jobs in Texas (NOW HIRING)

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 ...

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 ...

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 ...

Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

As a part of data team, you will design and operate scalable data systems, and work closely with Software Engineering, AI Agent teams, Data Science, and Product teams to turn complex data ...

Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

As a part of data team, you will design and operate scalable data systems, and work closely with Software Engineering, AI Agent teams, Data Science, and Product teams to turn complex data ...

Established in 1987, Global Data Systems, Inc. (GDS) is recognized as a leading provider of networking and systems integration solutions with specialties that include cable & infrastructure, physical ...

Established in 1987, Global Data Systems, Inc. (GDS) is recognized as a leading provider of networking and systems integration solutions with specialties that include cable & infrastructure, physical ...

Big Data Hadoop Tester

Dallas, TX ยท On-site

$55.25 - $73/hr

The role involves developing automated testing systems, creating test plans, and performing bug tracking and management to ensure the quality of big data systems. Responsibilities : โ€ข Work with big ...

Big Data Hadoop Tester

Dallas, TX ยท On-site

$55.25 - $73/hr

The role involves developing automated testing systems, validating test data, and ensuring the performance and scalability of big data systems. Responsibilities : โ€ข Work with big data analytics ...

Showing results 21-40

Data Systems information

What are data systems?

Data systems are organized collections of hardware, software, procedures, and personnel designed to capture, store, manage, and analyze data. They help organizations collect information from various sources, store it efficiently, and make it accessible for analysis and decision-making. Data systems can include databases, data warehouses, data lakes, and cloud storage solutions. They play a crucial role in supporting business operations, analytics, and reporting by ensuring data integrity and security.

What are the key skills and qualifications needed to thrive in data systems, and why are they important?

To thrive in Data Systems, you need expertise in data management, database design, and data analysis, typically supported by a degree in computer science or information systems. Familiarity with SQL, data warehousing tools, cloud platforms, and relevant certifications such as AWS Certified Data Analytics or Microsoft Certified: Data Analyst Associate is often required. Strong problem-solving skills, attention to detail, and effective communication set top professionals apart in this field. These skills and qualifications are crucial to efficiently manage, secure, and leverage data for informed business decision-making.

What are some common challenges faced by professionals in data systems roles, and how can they be addressed?

Professionals in Data Systems often encounter challenges such as integrating diverse data sources, ensuring data quality, and maintaining system scalability as data volumes grow. Addressing these issues usually involves working closely with cross-functional teams, adopting robust data governance practices, and leveraging automation tools for data validation and transformation. Proactively staying up-to-date with emerging technologies and industry standards can also help mitigate technical hurdles and ensure system reliability.

What is the difference between Data Systems vs Data Analysts?

AspectData SystemsData Analysts
Required CredentialsTypically certifications in database management, data architecture, or related fieldsOften hold degrees or certifications in data analysis, statistics, or business intelligence
Work EnvironmentWork with database systems, data infrastructure, and software toolsAnalyze data sets, create reports, and interpret data insights
Employer & Industry UsageUsed in IT, data management, and enterprise systems across various industriesCommon in marketing, finance, healthcare, and business sectors

Data Systems focus on managing, maintaining, and optimizing data infrastructure, while Data Analysts interpret data to support decision-making. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What are the most commonly searched types of Data Systems jobs in Texas?

The most popular types of Data Systems jobs in Texas are:

Infographic showing various Data Systems job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

LP Systems and Data Analyst

Plano, TX โ€ข On-site

Sally Beauty
Apparel and Accessories Storesย โ€ขย 10K+ employees

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


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 exceptionโ€‘based reporting tools.

  • Ensure data accuracy, integrity, user maintenance, and overall system performance across all LPโ€‘owned platforms (e.g., Exceptionโ€‘Based Reporting, Case Management systems, CCTV integrations).

  • Serve as the primary point of contact for vendors and crossโ€‘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 crossโ€‘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

  • Bachelorโ€™s degree preferred in Business, Data Analytics, Finance, Accounting, Criminal Justice, or a related field; equivalent relevant experience may be considered.

  • 3โ€“5 years of experience in retail loss prevention analytics, shrink analysis, inventory accuracy, or other dataโ€‘driven retail or operations roles.

  • Experience with Exceptionโ€‘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 โ€“ 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 โ€“ responsive and positive to change; works well with little direction; looks for solutions to achieve plan/task; keeps calm while under pressure; doesnโ€™t dwell on past

  • Talent Builder โ€“ 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 โ€“ 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 โ€“ 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 โ€“ 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 โ€“ 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 โ€“ 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 โ€“ 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 โ€“ 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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