Business Intelligence Engineer, WW Operations Finance Specialist

1 month ago


Bengaluru, Karnataka, India ADCI - Karnataka Full time
About the Role

We are seeking a highly skilled Business Intelligence Engineer to join our WW Operations Finance team. As a key member of our team, you will be responsible for designing and implementing scalable financial planning models using AWS ecosystem.

Key Responsibilities
  • Develop proficiency in various programming languages, including SQL, Python, and others, to propose and utilize the most efficient language for problem-solving.
  • Gain expertise in QuickSight or similar Business Intelligence solutions, such as Tableau or PowerBI.
  • Have knowledge of AWS big data solutions, as we are a growing team making key decisions on technology infrastructure to support a scalable planning ecosystem.
  • Work closely with stakeholders to understand their current processes and propose efficient solutions.
  • Excellent communication skills are a plus, as you will be working with team members across different job families.
About the Team

Our team, OPAAT, is a diverse group with members spread across EU and NA. We are expanding to India to support our growth plans and are looking for talented individuals to join our team.

We value knowledge sharing and work-life balance, and we are committed to creating a collaborative and inclusive environment.

Requirements
  • Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field.
  • 2+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL, and other data platforms.
  • Experience with industry analytics visualization tools, such as Excel, Tableau, QuickSight, MicroStrategy, or PowerBI, and statistical methods, such as t-test or Chi-squared.
Preferred Qualifications
  • Master's degree in engineering, statistics, computer science, mathematics, or a related quantitative field.
  • Experience building and maintaining basic data artifacts, such as ETL, data models, and queries.
  • Experience with scripting languages, such as Python, Java, or R.
  • Knowledge of how to improve code quality and optimize BI processes, such as speed, cost, and reliability.


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