Jr. Data Analyst - Tableau/SQL
About The Position
Siemens is seeking a full-time data analysis and visualization expert for their Grand Prairie, Texas location. This role is crucial for improving strategic and operational performance and increasing business process transparency. The individual will be responsible for identifying and mining data, performing statistical analyses, applying visualization techniques, and building high-quality visualization systems. The ideal candidate is self-motivated, possesses high initiative, excellent problem-solving skills, and a passion for using data analytics and visualization to drive business decisions. A creative edge, aptitude for analytics, desire for data-driven decision making, and interest in technological advancements are also important.
Requirements
- 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.
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- Health and wellness benefits
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
