Senior Data Analyst

ThreePDS; Fort Worth (TX); Hybrid; USD 90,000 - 120,000; Full time

Job summary

ThreePDS is seeking a Senior Data Analyst – Supply Chain to transform complex supply chain data into clear business insights. You will develop dashboards, automate reports, analyze performance trends, and partner with Supply Chain, Sourcing, Inventory, and IT teams in a hybrid environment in Fort Worth, TX.

The ideal candidate brings advanced SQL, Python, and Tableau skills, along with strong business judgment and knowledge of supply chain operations.

Qualifications

• 5+ years in data analytics, BI, or related field.
• 5+ years hands-on SQL experience with joins, aggregations, CTEs, and optimization.
• 3+ years Python for data analysis, automation, or reporting workflows.
• 2+ years Tableau for dashboards, data sources, and publishing.
• Experience building dashboards, scorecards, and self-service reporting.

Responsibilities

• Partner with stakeholders to define reporting, analytics, and data requirements.
• Design, publish, and maintain scalable Tableau dashboards and executive scorecards.
• Write, troubleshoot, and optimize complex SQL queries and data extracts.
• Use Python to automate data preparation, checks, and analytics workflows.
• Analyze inventory, supplier performance, demand trends, lead times, and KPIs.
• Translate data into actionable findings for technical and nontechnical audiences.
• Monitor activity to identify risks, trends, and opportunities for improvement.
• Develop reporting supporting budgeting, forecasting, and planning.
• Provide guidance for dashboards, reporting platforms, and data integrations.
• Contribute to testing, implementation of new applications, and governance.

Skills

SQL

Python

Tableau

Dashboards

Data Analytics

Job description

Senior Data Analyst – Supply Chain

Location: 777 Main Street, Fort Worth, TX 76102 Work Arrangement: Hybrid — onsite Monday through Wednesday; remote Thursday and Friday Schedule: Monday through Friday, 8:00 a.m.–5:00 p.m., with a one-hour lunch Employment Type: Contract Contract Length: 6 months with the possibility of extension

The hybrid schedule may change based on business needs, workload, or scheduled meetings.

Position Overview

We are seeking an experienced Senior Data Analyst to transform complex supply chain and operational data into clear, actionable business insights. This role will develop dashboards, automate reporting processes, analyze performance trends, and partner with stakeholders across Supply Chain, Strategic Sourcing, Inventory, Equipment Management, Construction, Emergency Restoration, and IT.

The ideal candidate combines advanced SQL, Python, and Tableau expertise with strong business judgment and an understanding of supply chain operations. This is an opportunity to influence planning, inventory performance, sourcing decisions, operational readiness, and continuous-improvement initiatives in a highly visible, collaborative environment.

What You’ll Do

• Partner with business and technology stakeholders to define reporting, analytics, and data requirements.
• Design, develop, publish, and maintain scalable Tableau dashboards, executive scorecards, self-service analytics, and recurring reports.
• Write, troubleshoot, optimize, and validate complex SQL queries, views, datasets, and data extracts.
• Use Python to automate data preparation, reconciliation, quality checks, report generation, and repeatable analytics workflows.
• Analyze inventory levels, material requirements, supplier performance, demand trends, service levels, lead times, spend, and other operational KPIs.
• Translate complex data into clear findings, recommendations, and visualizations for technical and nontechnical audiences.
• Monitor supply chain activity to identify risks, trends, exceptions, performance gaps, and opportunities for corrective action.
• Perform data validation, reconciliation, and root-cause analysis across source systems, dashboards, and published reports.
• Support supplier evaluations, scorecards, sourcing analysis, and selection methodologies through data-driven reporting.
• Develop reporting that supports budgeting, forecasting, capital and operating plans, emergency-restoration readiness, and process improvement.
• Provide technical support and subject-matter expertise for dashboards, reporting platforms, supply chain applications, and data-related issues.
• Participate in the testing and implementation of new applications, system enhancements, reporting solutions, and data integrations.
• Define and document reporting processes, data definitions, business rules, metrics, and governance standards.
• Develop training materials, facilitate workshops, and educate users on dashboards, reports, and analytical tools.
• Build productive relationships with business partners, technology teams, vendors, and other stakeholders.
• Contribute to cross-functional projects, task forces, training initiatives, and special assignments.

Required Qualifications

• At least five years of professional experience in data analytics, business intelligence, reporting, data querying, or a related analytical field.
• At least five years of hands-on SQL experience, including joins, aggregations, subqueries, common table expressions, views, troubleshooting, and query optimization.
• At least three years of hands-on Python experience involving data analysis, automation, transformation, data-quality validation, or reporting workflows.
• At least two years of hands-on Tableau experience, including dashboard development, calculated fields, parameters, filters, data sources, publishing, scheduling, and performance optimization.
• Demonstrated experience building and maintaining dashboards, operational reports, executive scorecards, and self-service reporting solutions.
• Strong capabilities in data extraction, exploration, transformation, modeling, visualization, validation, and reconciliation.
• Ability to translate business requirements into data models, SQL queries, dashboards, reports, and actionable recommendations.
• Advanced analytical, problem-solving, and root-cause analysis skills.
• Strong written, verbal, and presentation skills, including the ability to communicate technical findings to nontech