Business Intelligence Engineer, WW Ops Finance S&A

4 weeks ago


Hyderabad, Telangana, India ADCI - Karnataka Full time
About the Role

As a Business Intelligence Engineer in the WW Ops Finance S&A's OPAAT (Operations Finance Planning Automation & Analytics Team), you will be part of a team that is building standardized and scalable financial planning models for WW Operations Finance teams. Our mission is to reduce manual overhead during planning processes and reduce the time needed to create the financial plan by automating standardized planning solutions.

Key Responsibilities
  • Develop proficiency in various programming languages like SQL, Python, etc. to propose/utilize the language that solves a problem more efficiently.
  • Proficiency in QuickSight or similar BI solution like Tableau, PowerBI etc.
  • Knowledge and experience using AWS big data solutions is preferable as we are a growing team and are making key decisions on the tech infra to support a scalable planning ecosystem.
  • Work with stakeholders directly to understand their current processes and propose efficient solutions.
  • Good communication skills would be a plus too as being part of OPAAT requires communication across different job families.
About the Team

OPAAT is a diverse team with currently team members spread across EU & NA. With these new positions, we are working on expanding to India to support our expansion plans to WW Ops.

Requirements
  • Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field.
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
  • Experience with data modeling, warehousing and building ETL pipelines.
  • Experience with data visualization using Tableau, Quicksight, or similar tools.
  • Experience writing complex SQL queries.
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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.


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