Data Analytics Lead

Job Description

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Unless specifically stated otherwise, this role is "On-Site" at the location detailed in the job post.

Full-time
Company: Siemens Industry, Inc.

Location: 501 Fountain Pkwy, Grand Prairie, Texas 75050

Position Title: Data Analytics Lead

Hours: Monday - Friday, 9:00 am to 5:00 pm, 40 Hours/ Week

Summary of Duties: Lead and manage a team of analysts, providing guidance, mentorship, and support to ensure the successful execution of projects and initiatives. Interface with the overall business analytics team to align strategies and drive transformational change through data-driven insights. Lead the development and implementation of predictive analytics models. Drive continuous improvement initiatives by identifying areas for automation, standardization, and optimization within the manufacturing data analytics function. Develop and implement robust analytics solutions to support operational decision-making. Collaborate with cross-functional teams including material management, supply chain, production, engineering, and quality to identify opportunities for process optimization and productivity improvements. Analyze manufacturing data to identify trends, patterns, and anomalies, providing actionable insights to key stakeholders. Design and maintain dashboards, reports, and visualizations to track key performance indicators (KPIs) and monitor the health of manufacturing operations. Approximately 10% travel required. Hybrid work permitted.

Additional Qualifications/Responsibilities

Qualifications: The position requires a Bachelor's degree or foreign equivalent in Business Analytics, Data Science, Computer Science, Information Systems, Information Technology or a related field and three (3) years of experience in the job offered, or as a Data Analyst, Data Analytics Engineer, or an acceptable alternate occupation. The position requires three (3) years of experience with the following: experience in data analytics, with a proven track record of success in a manufacturing environment. Position requires experience with the following: knowledge of visual design/visualization; ability to analyze data using SQL, Excel, Tableau, Microsoft Power BI; experience with SQL, and/or other scripting languages such as Python or R; experience with ETL (Extract, Transform and Load) analytical tools like DAAI and Altryex etc.; experience in predictive analytics, machine learning, or statistical modeling. Approximately 10% travel required. Hybrid work permitted.