Senior Data Analyst

Senior Data Analyst - Supply Chain Analytics (Contract)
Location: Fort Worth, TX 76102, United States | Job Type: Contract

About the Role
Join a high-impact Supply Chain team as a Senior Data Analyst and drive smarter decision-making through advanced analytics, automation, and business intelligence. In this contract role, you will use your technical expertise to transform complex supply chain data into actionable insights-directly shaping inventory management, sourcing, equipment operations, and process improvements. Collaborate with cross-functional teams in a fast-paced, growth-minded environment at the heart of the utility industry.

Responsibilities

- Partner with Supply Chain, Sourcing, Equipment, Inventory, Construction, Emergency Restoration, IT, and external stakeholders to capture and deliver on data and reporting requirements.
- Design, build, and maintain scalable dashboards, scorecards, and recurring reports using Tableau and other BI platforms.
- Write, optimize, and maintain advanced SQL queries, datasets, and data extracts from enterprise systems like Maximo, ERP, and EDW.
- Develop Python automation to streamline data preparation, quality checks, reconciliation, and analytics workflows.
- Analyze supply chain performance, supplier data, inventory levels, demand trends, service levels, spend, and key operational metrics.
- Create and communicate clear, timely, and actionable reports and analytics to business partners and leadership.
- Support supplier evaluation, sourcing analysis, and continuous improvement with robust, data-driven reporting.
- Assess risks, identify trends, and recommend corrective actions through performance monitoring and root-cause analysis.
- Provide subject-matter expertise on supply chain applications, dashboards, and reporting platforms.
- Participate in system enhancements, process documentation, application testing, and cross-functional project teams.
- Lead training sessions and develop user guides for analytics tools and reports.

Required Skills and Experience

- Bachelor's degree in Supply Chain, Logistics, Business Analytics, Information Systems, Data Analytics, Engineering, or closely related field preferred.
- 5+ years in data analytics, business intelligence, reporting, or similar analytical roles.
- 2+ years hands-on Tableau experience (dashboards, calculated fields, data sources, scheduling, optimization).
- 3+ years hands-on Python experience (data analysis, automation, transformation, quality validation).
- 5+ years advanced SQL skills (joins, aggregations, CTEs, views, optimization).
- Experience with enterprise data warehouses, relational databases, ERP systems, or supply chain applications.
- Demonstrated ability to translate business needs into actionable data solutions.
- Strong communication skills with ability to present technical concepts to nontechnical audiences.
- Advanced analytical, problem-solving, and root-cause analysis skills.
- Proficiency in Microsoft Office; advanced Excel preferred.

Preferred Skills

- Experience with Maximo, Cognos, MySQL, SOX-compliant reporting, and data governance.
- Utility, energy, construction, inventory, procurement, or broader supply chain industry background.
- Deep knowledge of supply chain processes, inventory management, sourcing, and operational KPIs.
- Experience designing and standardizing reporting processes and metrics.

Benefits

- Opportunity to impact critical supply chain strategies within a leading utility environment.
- Fast-paced, collaborative culture that values innovation, accountability, and professional growth.
- Exposure to cutting-edge analytics tools, technologies, and industry best practices.
- Work alongside experienced professionals and cross-disciplinary teams.
- Expand your expertise through workshops, training, and hands-on projects.

How to Apply

Ready to take your analytics career to the next level? Submit your resume and a brief cover letter outlining your experience in supply chain analytics, data visualization, and automation. Qualified applicants will be contacted for an initial interview.