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No of position :- ( 1 )
Post :- 29th Nov 2023
· 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 bachelor’s 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.