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# Logistics Center, Data Analytics Specialist

- **Company:** Siemens Energy
- **Location:** Orlando, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Business Systems, Information Systems, Extract Transform Load (ETL), Power BI, SQL Databases, Tableau (Software), Snowflake, Information Technology, Data Analytics, Alteryx
- **Published:** October 28, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=14c8c316f7917d2c

## About the Role

* Bachelor's degree in Business Analytics, Data Analytics, Information Systems, Computer Science, Engineering, Finance, Mathematics, Statistics, or a related field.
 * 5+ years of experience in data analysis, operations reporting, or business intelligence, supporting a high volume dynamic environment
 * Advanced experience developing Tableau and Power BI dashboards, querying Snowflake with SQL, and automating ETL workflows with Alteryx.
 * Team player with passion for excellence, strong communication, decision making, and an analytical mindset.
 * Certifications in Alteryx & Snowflake, Tableau, Power BI, SQL Data Visualization, preferred.

## Description

As the FAST Logistics Center Data Analytics Specialist, you will help site leadership and operational teams turn complex data into clear, actionable insights. You will collaborate with partners from EH&S, Operations, Industrial engineering, Customer Service & Business Excellence.. Your day may include developing dashboards, automating data workflows, validating information across business systems, and presenting performance trends to stakeholders. Your work will help us continuously improve on safety, delivery, resource utilization, planning, and overall site performance.

How You'll Make an Impact

 * Overall responsibility for development and maintenance of FAST Logistics Center Digital cockpit/Dashboards.
 * Identify trends and opportunities for improvement in warehouse operations.
 * Support day-to-day decision-making by providing timely and actionable data-driven insights to the site logistics team.
 * Generate reports on key performance indicators (KPIs) such as inventory accuracy, on-time delivery, and departmental performance, forecasted customer demand, production capacity.
 * Translate business requirements into technical specifications for analytical solutions.
 * Apply analytical techniques to model and simulate the impact of proposed process changes on safety, workflow, cost, and efficiency. Partner with IT and business stakeholders to support the integration of new data sources as part of the site's digitalization projects.