Data Analytics Developer
Gurgaon, HR, IN, 122002
Corning
Corning ist einer der weltweit führenden Innovatoren im Bereich Werkstoffkunde. Seit mehr als 160 Jahren hat Corning mit seinem beispiellosen Fachwissen über Spezialglas, Keramik und optischer Physik Produkte entwickelt, die das Leben der...Requisition Number: 63240
Corning is vital to progress – in the industries we help shape and in the world we share.
We invent life-changing technologies using materials science. Our scientific and manufacturing expertise, boundless curiosity, and commitment to purposeful invention place us at the center of the way the world interacts, works, learns, and lives.
Our sustained investment in research, development, and invention means we’re always ready to solve the toughest challenges alongside our customers.
The Global Supply Management (GSM) Function is recognized as a critical function for business success. It delivers the training, tools and opportunities needed to create innovative solutions for the function & the corporation. GSM has leading edge, effective processes to anticipate and exceed customer requirements.
Scope of position:
The Supply Chain Analytics group is Global Supply Management (GSM) center of excellence for data and analytics. By combining supply chain domain expertise with deep analytical skills and advanced tools, we generate actionable insights that empower businesses to make strategic, impactful decisions.
Position Responsibilities:
- Understand business requirements in BI context and translate business processes and requirements into technical requirements.
- Execute data analytics initiatives that lead to the development of insightful analyses, driving business performance improvements and enhancing operational efficiency.
- Analyze complex datasets and design robust data models to build intuitive dashboards and applications using Power BI, Power Apps and Power Automate and other Corning IT tools, tailored to meet specific business requirements.
- Optimize existing analytics solutions such as BI dashboards by developing new solutions and implementing enhancements to improve performance and functionality.
- Maintain meticulous oversight of data including data quality inspection, cleansing and automation to ensure the continuous reflection of the most current and accurate information in our analytics.
- Proactively address and resolve any discrepancies or issues in the analytics provided, upholding the integrity and reliability of the data and insights delivered.
- Collaborate with various Global Supply Management teams such as Data Management Office to establish project plans to deliver data and analytics to meet business goals.
- Keep abreast of the latest industry trends and technologies in data analytics such as Machine Learning to continuously improve the tools and methodologies used within the team.
Required Skills {these are skills that candidate MUST possess}
- A Bachelor degree in Data Science, Math, Statistics, Computer Science, or related field.
- 4-6 Years professional experience, preferably in a data analyst/data scientist role or similar, with proven results in a data analyst role.
- Extensive hands-on design and development of Power BI dashboards, Power Automate flows and Power Apps.
- Mastery of Power Query M and extensive practical experience in writing complex DAX queries
- Extensive experience with Dataset design, Data Cleansing and Data Aggregation.
- Experience in designing and maintaining automation frameworks and workflows.
- Working knowledge of API and REST Endpoints.
- Proficiency in Database & data lake methodology.
- Experience in supply chain management along with procurement & spend analytics.
- Global working experience with cross-cultural team and adapt to diverse business practices.
- Languages: SQL, DAX, Python, Power Shell, M Query.
- Software/Applications: Power BI, Power Apps, Power Automate, Alteryx, SAP Ariba, Microsoft 365 applications.
Desired Skills {these are skills that would be nice for candidates to possess}
- Databricks.
- SAP ECC/ S4HANA (functional experience in Procure to Pay modules such as SAP MM)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Computer Science Data Analytics Databricks Data management Data quality Machine Learning Mathematics Power BI Python Research SQL Statistics
Perks/benefits: Career development
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