Business Intelligence Engineer, IN Customer Lifecycle

5 months ago

Bengaluru, India ADCI - Karnataka Full time
IN Customer Lifecycle team focus on maintaining customer satisfaction through harnessing analytics that enables continuous optimization of the program, refining marketing campaigns, and introducing innovative products to help customers progress in their lifecycle journey.

IN Customer Lifecycle team is looking for a candidate that demonstrated success working cross-functionally across internal and external teams. This candidate must have a track record of churning out actionable insights and make data backed recommendations that directly impact organizational strategic decisions and priorities. Being able to thrive in an ambiguous, fast-moving environment and prioritizing work is essential, as is a mind for innovation and learning through new technologies. This role provides an opportunity to develop original ideas, approaches, and solutions in a competitive and ever-changing business climate.

Key job responsibilities
- Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership
- Share written recommendations and insights for key stakeholders that will help shape organizational strategic decisions and priorities
- Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems
- Simplify and automate reporting, audits, and other data-driven activities
- Partner with other BIEs to enhance data infrastructure, data availability, and broad access to customer insights
- Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation
- Learn new technology and techniques to meaningfully support internal stakeholders and process innovation

We are open to hiring candidates to work out of one of the following locations:

Bengaluru, KA, IND

BASIC QUALIFICATIONS

- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Knowledge of SQL and data warehousing concepts
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with forecasting and statistical analysis

PREFERRED QUALIFICATIONS

- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 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

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