Business Analyst
Greif (company site, opens in a new tab)2–3 yrsChennaiOn-siteDirect career pageEst. 6–9 LPA
Posted 20h ago
Reach people at Greif
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Greif you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Provide Level 1 and Level 2 support for Enterprise Analytics users globally, handling report and data inquiries via ticketing, email, and virtual tools.
- Develop, modify, and enhance reports and dashboards using Power BI and similar tools, supporting user enablement through virtual training and documentation.
- Collaborate with US and EMEA stakeholders to gather requirements and troubleshoot data/reporting issues, coordinating with Data Engineering and IT teams for resolutions.
Minimum Requirements
- Bachelor’s degree in Engineering, Computer Science, IT, Business Analytics, or related field.
- 2 to 3 years of experience in analytics support, business intelligence, IT support, or similar roles.
- Hands-on experience with Power BI, Power Pivot, Tableau, or other data visualization tools.
- Must be able to work flexible hours with partial or full overlap with US Eastern Time Zone; experience supporting global stakeholders preferred.
Ideal Candidate Profile
- Experienced in supporting and enabling global analytics users with strong communication skills across multiple time zones.
- Comfortable working in an offshore delivery environment with a process-driven, structured approach to managing multiple priorities.
- Technically skilled with Power BI and a working understanding of enterprise data architecture, ETL, and data modeling concepts.