Data Analytics Solutions Architect

3 weeks ago


Hyderabad, Telangana, India ADCI HYD 16 SEZ - H83 Full time

At ADCI HYD 16 SEZ - H83, we're seeking a skilled Data Analytics Solutions Architect to join our Global Operations - AI (GO-AI) team. This role is ideal for individuals who enjoy working with big data sets and have expertise in building new business intelligence solutions end-to-end.

About the Job

The successful candidate will be responsible for designing, developing, and maintaining scaled, automated, user-friendly systems, reports, and dashboards that support our analytical and business needs for customer promise and operations. They will use analytical and statistical rigor to solve complex problems and drive business decisions that help us achieve our strategic goals.

Key Responsibilities
  • Design and develop scalable, automated, user-friendly systems, reports, and dashboards to meet our analytical and business needs.
  • Use analytical and statistical techniques to solve complex problems and drive business decisions.
  • Invent, refine, and develop BI solutions to meet GO-AI goals.
  • Maintain and refine ETL processes and create, populate data structures using schema definition languages.
  • Write secure, stable, testable, maintainable code with minimal defects and automate manual processes where possible.
Requirements

We're looking for candidates with 5+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL, and other tools. Experience with data visualization using Tableau, Quicksight, or similar tools is also required. Additionally, proficiency in Statistical Analysis packages such as R, SAS, and Matlab, as well as SQL and scripting experience in Python, is necessary.

PREFERRED QUALIFICATIONS
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
  • Experience in data mining, ETL, and using databases in a business environment with large-scale, complex datasets.

The estimated salary for this role is $120,000 - $180,000 per year, depending on location and experience.



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