Business Intelligence Engineer

3 weeks ago

chennai, India ADCI MAA 15 SEZ Full time
The Books Risk Management team is looking for a highly driven, customer-obsessed Business Intelligence Engineer who will be responsible for supporting strategic, risk mitigation programs. The Business Intelligence Engineer will be responsible for complex analysis using multiple data sources while also understanding the operational, financial, and technical aspects of the programs they are supporting and the associated risk profiles they represent. You’ll analyze large amounts of data, discover and solve real world problems, build metrics and business cases around key Books projects and, most of all, be an integral part of creating a better customer experience.
You have to be a self-starter, comfortable with ambiguity, with strong attention to detail and passion for data, and an ability to work in a fast-paced and ever-changing environment.
Key job responsibilities
•Retrieving and analyzing data using SQL, Excel, and other data management systems
•Reactively and proactively developing and executing analyses that provide important insight into the business
•Designing and implementing data engineering and self-service reporting solutions that enable stakeholders to manage the business and make effective decisions
•Monitoring existing metrics and partnering with internal teams to identify process and system improvement opportunities
We are open to hiring candidates to work out of one of the following locations:
Chennai, TN, IND

BASIC QUALIFICATIONS

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines

PREFERRED QUALIFICATIONS

- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

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