
Senior Data Analyst Position
2 days ago
Overview
This role offers a unique opportunity to contribute to the digital transformation journey of our supply chain function. As a senior data analyst, you will play a crucial part in supporting the data and analytics needs of our global supply chain team.
We are seeking a highly motivated and skilled professional with experience in working with senior stakeholders, facilitating discovery sessions, and designing reports and dashboards. The ideal candidate will have a strong understanding of cloud platforms, preferably Databricks or Azure, and proficiency in writing production-level code in SQL, Python, or PySpark. Power BI for analytics and data visualization is also essential.
The successful candidate will be responsible for identifying data sources, collecting data through manual or automated means, and cleaning, transforming, and organizing data into a usable format. They will also need to design, develop, and deploy reports and dashboards and generate business presentations and formal written reports to communicate the results of data analysis.
Beyond technical skills, we are looking for someone who can champion data-driven decision-making, collaborate with IT and internal teams, and support the digital transformation journey.
In return, we offer a comprehensive compensation package, opportunities for growth and development, and a dynamic work environment that values diversity and inclusivity.
We believe in maintaining competitive compensation and benefits programs to attract and retain a talented workforce. Our compensation programs focus on equitable pay practices, including market-based base pay and an annual pay-for-performance incentive plan.
We are committed to protecting your personal information and using it only for administrative purposes. Please note that we value equal employment opportunities and prohibit discrimination based on race, gender, age, or disability.
- Experience in Manufacturing or Supply Chain is desirable
- Knowledge of SAP S4 and relevant data tables is a plus
- Willingsness to take need-based calls in the US time zone
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