Data Analyst (Python, SQL)

About _VOIS

_VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK.

Over 29,000 highly skilled individuals are dedicated to being Vodafone Groups partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more.

Established in 2006, _VOIS has evolved into a global, multi-functional organisation, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone.

About _VOIS

In 2009, _VOIS started operating in India and now has established global delivery centres in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, _VOIS India supports global markets and group functions of Vodafone, and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more.

Primary Skills: Python, SQL ,

Alternate Skills: Sharepoint, AWS , ETL, Telecom specially Fixed Network domain, GCP(Bigquery )

Core competencies, knowledge and experience:

Essential:

- Strong SQL experience - Advanced level of SQL and BigQuery

- Strong coding experience in Python

- Excellent data interpretation skills

- Good knowledge of ETL and a business intelligence, good understanding of range of data manipulation and analysis techniques

- Working knowledge of large information technology development projects using methodologies and standards

- Excellent verbal, written and interpersonal communication skills, demonstrating the ability to communicate information technology concepts to non-technology personnel, should be able to interact with business team and share the ideas.

- Strong analytical, problem solving and decision-making skills, attitude to plan and organize work to deliver as agreed.

- Ability to work under pressure to tight deadlines.

- Hands on experience working with large datasets.

- Able to manage different stakeholders.

Experience:

- In-depth working experience in ETL.

- Fixing problems in cooperation with internal and external partners (e.g. Service owner, Tech. Support Team, IT-Ops)

- Designing and implementing the changes to the existing different components of data flow.

- Develop & maintain end to end data flow.

- Maintaining the data quality, data consistency issues and essential business critical processes

- Conducting preventative maintenance of the systems

- Drive system optimization and simplification

- Responsible for performance of data flow and optimisation of the data preparation in conjunction with the other technical team