Job Location: Hyderabad/Secunderabad
Responsibilities
Data Management:
- Understand customer data (in various formats)
- Define appropriate business rules and exceptions, securing agreement with customer.
- Write scripts for data upload, error handling.
- Interface with internal teams by owning data upload process end-to-end.
- Capable of handling multiple mission-critical projects simultaneously without sacrificing quality or impacting deadlines.
- Any ETL tool experience is a strong plus.
Business Analysis:
- Gain a complete understanding of business relevance of the data and enable capture insights from customer data.
- Good general knowledge of markets, technology, and business drivers, with clear understanding of stakeholder requiements.
Other:
- Teamwork : Support the solution teams with customer perspectives (Voice of Customer).
- Domain : Familiar with a Supply Chain concepts, practices, and procedures.
- Customer : Ability to handle customer communications and maintain relationships
- Communication: Strong verbal, analytical and communications skills, with the ability to present.
- Process : Proactively identify areas for improvement and introduce innovative recommendations, factoring in customer needs, external approaches, data analytics, as well as industry best practices.
- Continuous Learning : Willingness to learn, to innovate, to take initiative and ability to work in a global organization.
Requirements
- Education: Bachelor s degree, Business or Engineering or equal experience is fine.
- Minimum 5+ years of data analyst/ management and business analysis in Sourcing and/or Supply Chain Domain in a global customer focused environment.
- Outstanding numerical and quantitative analysis capabilities to find correlations between different types of data sets.
- Strong problem-solving skills and able to develop creative solutions independently.
- Knowledge and strong understanding of sourcing practices, policies, processes, systems capabilities, and limitations.
- Top notch customer service skills.
- Tech Skills:
- Advanced Excel, Strong Database SQL knowledge (SQL Queries, T-SQL/PL-SQL) – mandatory
- ETL, Ingestion Pipeline (Alteryx, Matillion, etc.) skills optional, good to have.
- Python, BI Tools (Tableau, Power BI, etc.) optional, good to have.
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