Ba Ii, Gcoi - Hyderabad, Telangana, India - ADCI HYD 13 SEZ

ADCI HYD 13 SEZ

Verified Company

Hyderabad, Telangana, India

2 weeks ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

3+ years of tax, finance or a related analytical field experience

5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
Bachelor's degree or equivalent
Experience defining requirements and using data and metrics to draw business insights
Experience with SQL
Experience making business recommendations and influencing stakeholders

The position is based in Hyderabad, but will interact daily with leaders in the US and Hyderabad.

We seek a quick-learner who can quickly familiarize themselves with a fast-paced environment, build relationships with cross-functional teams, and assume ownership for a broad array of domains.

Flexibility, and an ability to prioritize will be key. Our team culture is goal-oriented, collaborative and driven to achieve results.

Key job responsibilities
Key job responsibilities

Explore and develop expertise with internal Amazon data services and AWS products.
Design, develop and maintain scalable, automated, userfriendly systems, reports, dashboards, etc. that will support our analytical and business needs.
Use analytical and statistical rigor to solve complex problems and drive business decisions. Analyze and validate data to maintain high data quality bar.
Own advanced data extraction and basic data engineering needs for your customers.
Own the maintenance of ongoing metrics, reports, and other artifacts used to drive key business decisions.
Create high quality documentation for your customers and team members.
Work with team members and business customers to gather requirements.

Hyderabad, TS, IND

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
Experience with data modeling, warehousing and building ETL pipelines.
Experience in data mining, ETL, etc. and using databases in a business environment with largescale, complex datasets.