Position: Senior Data Analyst/Architect/Engineer
Location: Fort Worth, Texas
Duration: Contract
Job Overview: The Senior Data Analyst/Architect/Engineer will support supply chain decision-making through advanced analytics, reporting, dashboard development, data querying, and cloud-based database design. This role will translate complex supply chain, inventory, sourcing, equipment, and operational data into accurate, actionable insights that improve planning, performance, compliance, and continuous improvement.
Responsibilities: - Partner with stakeholders to define reporting, analytics, and business intelligence requirements.
- Write, optimize, validate, and maintain complex SQL queries, tables, and views using Oracle, MS SQL Server, and Exasol.
- Develop and maintain data extraction pipelines from enterprise data warehouses into cloud-based platforms.
- Perform data validation, reconciliation, and root-cause analysis across source systems.
- Design, document, standardize, and improve data structures, definitions, and governance practices.
- Cleanse and blend data from multiple sources.
- Build dashboards and reports that support self-service analytics.
- Create automation workflows, data storytelling solutions, and actionable insights.
- Develop predictive and machine learning models, AI agents, and LLM integrations.
- Prepare training materials, lead workshops, and educate users on reporting and analytics platforms.
- Collaborate with business partners, technology teams, vendors, and other stakeholders.
- Support SOX controls, data governance requirements, reporting controls, and data quality standards.
Qualifications: - Bachelor's degree in Supply Chain, Logistics, Business Analytics, Information Systems, Data Analytics, Data Engineering, or a related field preferred.
- At least 5 years of experience in business intelligence, data analytics, data engineering, data science, or a related field.
- At least 5 years of experience writing and troubleshooting SQL queries, including joins, aggregations, subqueries, CTEs, views, and performance optimization.
- At least 3 years of hands-on dashboard development, including calculated fields, parameters, filters, data sources, publishing, scheduling, and performance optimization.
- At least 2 years of experience with data engineering or architecture, including extraction, loading, transformation, modeling, validation, or automation.
- Experience in the utility, energy, construction, inventory, procurement, or supply chain industries is preferred.
- Knowledge of data governance, data quality, documentation, access controls, and SOX-compliant reporting is preferred.
- Strong analytical, problem-solving, root-cause analysis, and communication skills.
- Ability to explain technical findings to nontechnical audiences.
- Ability to manage multiple priorities and collaborate across functional teams.
Schedule: - No mandatory days in the office.
- The position will typically be remote, with occasional onsite work as needed.
- Additional onsite attendance may be required during initial training at the client's Fort Worth office or Inventory Distribution Center in Midlothian.
About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5,000 professionals providing services across the U.S. and Canada. For more information, visit .
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Pay Range: $55.00 per hour
The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role; market labor costs; and the candidate's skills, education, training, credentials, experience, and other employment conditions. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or local requirements.
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During the hiring process, PTR Global may use artificial intelligence tools to assist in evaluating application-related information. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in the hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.
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