Job description

Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That is why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you. Transform the everyday with us! We are currently looking for a full-time data analysis and visualization expert to help improve strategic and operational performance and increase business process transparency for our Grand Prairie, Texas location. This person will be responsible for identifying and mining data, performing statistical analyses, applying visualization techniques, and building high quality visualization systems. An ideal candidate would be a self-motivated individual who possesses high initiative, excellent problem-solving skills, and a passion for deriving business decisions using data analytics and visualization. Applicants should have a natural creative edge, an aptitude for analytics, a desire for data-driven decision making, and interest in keeping up with technological advances in their field. You will make an impact by: • Support, maintain, and develop key performance indicators (KPIs) for all aspects of manufacturing • Strong problem-solving skills with the ability to identify operational challenges and develop scripted solutions • Perform business, operational, and engineering data analysis, and deliver consumable reports to stakeholders • Assess the data needs of projects and ad-hoc requests, perform exploratory data analysis, identify data patterns, assess data quality, and develop compelling data visualizations and insights • Locate and correct data problems • Communicate with both technical and non-technical teams to understand business processes and promote data driven decision making You’ll win us over by having the following qualifications: Basic Qualifications: • Bachelors in any Engineering, Data Science, or Computer Science related discipline (or equivalent experience) • 3+ years of related experience in data analytics and visualization • Strong ability to analyze data using SQL, Tableau and Microsoft Power BI • Experience with ETL (Extract, Transform and Load) analytical tools like KNIME ( preferred ) or Altryex etc. • Development experience using any scripting language (PHP, Python, C#, etc.) • Strong knowledge of visual design • Legally authorized to work in the United States on a continual and permanent basis without company sponsorship. Preferred Qualifications: • Experience in a manufacturing environment • Familiarity with Data Science, Machine Learning and AI concepts • Experience developing applications using low-code platforms like Mendix and working with Snowflake as a data source • Understanding of ERP systems such as SAP About Siemens: We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers. Learn more about Siemens here . Our Commitment to Equity and Inclusion in our Diverse Global Workforce: We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us. #LI-VC1 #On-Site #siemenstradesperson #SiemensMFGcareer #MFGGrandPrairieTX #MFGTX You’ll Benefit From Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: benefitsquickstart.com The pay range for this position is $67,544 - $115,790 annually. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Equal Employment Opportunity Statement Siemens is an Equal Opportunity Employer encouraging inclusion 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. EEO is the Law Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable 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. Pay Transparency Siemens follows Pay Transparency laws. Application Deadline This role will be posted for a minimum of five (5) days from the original posting date. The posting timeline may change based on applicant volume to ensure we attract and consider a strong and representative candidate pool. 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.

Requirements

Must-haves

Transform the everyday with us!
Support, maintain, and develop key performance indicators (KPIs) for all aspects of manufacturing
Strong problem-solving skills with the ability to identify operational challenges and develop scripted solutions
Perform business, operational, and engineering data analysis, and deliver consumable reports to stakeholders
Assess the data needs of projects and ad-hoc requests, perform exploratory data analysis, identify data patterns, assess data quality, and develop compelling data visualizations and insights
Locate and correct data problems
Communicate with both technical and non-technical teams to understand business processes and promote data driven decision making
You’ll win us over by having the following qualifications:
Bachelors in any Engineering, Data Science, or Computer Science related discipline (or equivalent experience)
3+ years of related experience in data analytics and visualization
Strong ability to analyze data using SQL, Tableau and Microsoft Power BI
Development experience using any scripting language (PHP, Python, C#, etc.)
Strong knowledge of visual design
Legally authorized to work in the United States on a continual and permanent basis without company sponsorship.

Nice-to-haves

Experience with ETL (Extract, Transform and Load) analytical tools like KNIME ( preferred ) or Altryex etc.
Experience in a manufacturing environment
Familiarity with Data Science, Machine Learning and AI concepts
Experience developing applications using low-code platforms like Mendix and working with Snowflake as a data source
Understanding of ERP systems such as SAP

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythonmachine learningai

Platform: avature
Effort: medium

Benefits

Benefits detected in the listing.

Wellness