Data Analytics Lead
Apply NowCompany: Siemens
Location: Grand Prairie, TX 75052
Description:
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.
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.
Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
Reasonable Accommodations
If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you're unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.
EEO is the Law
Applicants and employees are protected under Federal law from discrimination. To learn more, Click here.
Pay Transparency Non-Discrimination Provision
Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here.
California Privacy Notice
California residents have the right to receive additional notices about their personal information. To learn more, click here.
Criminal History
Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.
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.
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.
Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
Reasonable Accommodations
If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you're unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.
EEO is the Law
Applicants and employees are protected under Federal law from discrimination. To learn more, Click here.
Pay Transparency Non-Discrimination Provision
Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here.
California Privacy Notice
California residents have the right to receive additional notices about their personal information. To learn more, click here.
Criminal History
Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.