Business Intelligence Engineer, Data Analytics

5 months ago

Hyderabad, India ADCI HYD 13 SEZ - H84 Full time
The Business Intelligence Engineer will own a high-visibility growth area in a dynamic, entrepreneurial analytics team. We are seeking an exceptionally talented, visionary and deeply focused BI Engineer with outstanding analytical skills. They will build some of the largest reporting objects in the Accounts Receivable BI space, thereby contributing to business outcomes by analytics. This is a unique opportunity to build one of the largest Finance Operations BI environments of present day. The role holder will build their know-how rapidly and thrive in Amazon's high paced, Day 1 culture.

Note: This position is office-based in Pasay City with currently 3+ days of office presence a week.

Key job responsibilities
- Solve real life business problems by data analytics using big data
- Collaborate with business users on requirements, objectives and measures
- Optimise and organize data pipelines from the Finance Operations Data Lake into the visualization environment
- Build and manage Tableau workbooks
- Provide input and recommendations on technical issues to data engineering and software engineering teams
- Contribute to data design, data modelling and data extracts/transforms
- Work in a genuinely global environment, across various functional teams

A day in the life
Are you an experienced Business Engineer, looking forward to driving innovation in the data and analytics space?

The BI Engineer will drive the development of reporting and analytics across the global portfolio of businesses and processes; and produce reports and analyses for decision making, metrics management and more. The role will translate business problems into data problems; obtain the required data by working with other engineering teams; produce reporting; and continuously optimise the data pipelines and transformations.

About the team
Global Data Analytics (GDA) empowers the world’s largest Accounts Receivable (AR) and Payable (AP) departments to deliver large scale business outcomes through advanced data capabilities and real time, actionable insights. GDA’s mission is "As trusted and business-focused analytics partners, we provide timely data, analytics, and insights across Service Centers (SCs) and global functions. We are custodians of data and metrics definitions. We apply science methods to large-scale transactional processes."

BASIC QUALIFICATIONS

- 5+ 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
- Experience writing complex SQL queries
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

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

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