Business Analyst I Opportunity 2025 | Vodafone is hiring Business Analyst I. The working location is Hyderabad/Bengaluru , India. Interested candidates can apply online as soon as possible. The detailed eligibility and application process are given below.
Business Analyst I Job Openings At Amazon | Hyderabad/Bengaluru – Overview
| Company Name: | Vodafone |
| Job Role: | Business Analyst I |
| Location: | Hyderabad/Bengaluru |
| Work Mode: | On site |
| Last Date to Apply: | ASAP |
Job Description
- AOP team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once.
- AOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace.
- AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession.
Skills Required:
- BASIC QUALIFICATIONS
- – 2+ years of tax, finance or a related analytical field experience
- – Experience defining requirements and using data and metrics to draw business insights
- – Experience with SQL or ETL
- – Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
- – Experience with data modeling, warehousing and building ETL pipelines
- PREFERRED QUALIFICATIONS
- – Experience working with Tableau
- – Experience using very large datasets
Responsibilities:
- 1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap.
2) Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution.
3) Define analytical approach; review and vet analytical approach with stakeholders.
4) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs
5) Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation
6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis
7) Work with a variety of data sources and Pull data using efficient query development that
requires less post processing (e.g., Window functions, virt usage)
8) When needed, pull data from multiple similar sources to triangulate on data fidelity
9) Actively manage the timeline and deliverables of projects, focusing on interactions in the team
10) Provide program communications to stakeholders
