Data Engineer/Analyst (PLM) || Fremont,CA Hybrid (3 days onsite) at Fremont, Wisconsin, USA |
Email: [email protected] |
Hi, Hope you are doing great! We have an urgent requirement for " Data Engineer/Analyst " position with one of our Client Position: Data Engineer/Analyst Location: Lam Research, Fremont Hybrid (3 days onsite) Job Type: Long Term Contract Job Description: Responsibilities: Data mining in PLM/SAP Ensure data quality and integrity by performing data cleansing, validation, and error handling. Optimize data infrastructure to support data processing, storage, and retrieval efficiently. Perform exploratory data analysis to uncover trends, patterns, and insights from the data. Conduct statistical analysis and data modeling to support business decision-making. Develop and maintain data documentation, including data dictionaries and data lineage. Create visually appealing and interactive dashboards that effectively communicate complex data insights to stakeholders. Leverage best practices to present data in a clear, concise, and compelling manner. Collaborate with business users & cross functional teams to understand their data requirements, analytical needs and translate them into actionable visualizations. Monitor and maintain existing dashboards, making improvements and updates as needed Minimum Qualifications: 5+ years of related experience with a bachelors degree in Computer Science, Data Science, Statistics, Supply Chain Management, Operations Research, or a related field. Expertise with SharePoint, Power BI Prefer experience in ENOVIA PLM and SAP Proven experience in data analysis, data modeling, and statistical analysis. Proficient in data visualization tools such as Power BI Experience managing IT programs Strong analytical and problem-solving skills Ability to develop front end applications with custom workflows and automations. (PowerApps, SharePoint Classic and Online, QuickBase Applications) Ability to integrate front end applications with databases (SAP/SILK) to show real time data (Custom APIs, Webservices) Additional Qualifications: Experience with programming languages such as SQL. Positive attitude in a rapidly changing environment with ambiguous information. Concise communication skills. Intellectual curiosity with an ability to learn quickly. Passion for technology and operations. Experience with Databricks, Snowflake, AWS, and other cloud systems Experience with Excel and Gsheets Strong understanding of supply chain processes and terminology. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Ability to work independently and as part of a team. Keywords: business intelligence information technology |
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Sat Dec 16 00:28:00 UTC 2023 |