EY is Hiring for Data Analytics – Staff(D&I Hiring). The details of the job requirement and other informations is provided below.
EY: Data Analytics – Staff(D&I Hiring)
About EY
EY, previously known as Ernst & Young, is a global professional services firm providing a diverse range of services such as audit, advisory, tax, and transaction advisory services. Established in 1989, EY operates in over 150 countries and boasts a workforce of over 300,000 individuals. The firm is dedicated to fostering sustainable growth and assisting clients in navigating the complexities of the modern business landscape. With a steadfast commitment to innovation, EY aims to deliver exceptional services while cultivating a culture of diversity, inclusivity, and collaboration.
| Company Name: | Ernst & Young |
| Website: | www.ey.com |
| Job Role: | Data Analytics – Staff(D&I Hiring) |
| Location: | Gurgaon, India |
| Qualifications: | B.E., B.Tech, M.Com, B.Com, BSc (Computer Science), or MSc (Computer Science) |
| Salary: | 7 LPA (Expected) |
| Experience: | Fresher |
Job description
We are looking for a candidate who will be responsible for reviewing deliverables and ensuring the attainment of quality and productivity goals. As a crucial member of the EY Assurance Team, this role involves making significant contributions and providing value in complex reporting tasks that assist internal and external stakeholders in gaining a deeper understanding of their markets, functional practices, and other internal clients.
Responsibilities
- Analyze extensive data volumes and formulate a precise strategy for assurance analytics.
- Collaborate effectively in a multicultural environment as a team player.
- Demonstrate expertise in various facets of auditing and establish connections between raw data and audit-related analytics.
- Collaborate closely with the Global Assurance team, providing support in conceptualizing ideas, strategies, and frameworks.
- Extract data from multiple sources by understanding data structure requirements.
- Utilize industry expertise to interpret data and improve performance.
Skills
- Excellent communication, presentation, and interpersonal skills.
- Possess strong problem-solving abilities, coupled with rapid learning and adaptability to change.
- Willingness to work in different time zones and travel as required.
- Exhibits a commitment to integrity and maintaining confidentiality at a high level.
- Able to meet tight deadlines while consistently delivering work of exceptional quality.
Education
- Preference is given to graduates with 0-3 years of relevant experience.
- Candidates with a degree in B.E., B.Tech, M.Com, B.Com, BSc (Computer Science), or MSc (Computer Science), along with proficiency in analytics/data analysis or reporting, are encouraged to apply.
- Basic knowledge of MS Excel and SQL, along with familiarity with business intelligence tools such as Tableau, SAS, and Spotfire.
- Interest in business and commerciality.
