Business Intelligence Engineer, IN FC Analytics
The AOP FC Analytics team manages a suite of MIS reporting published at various frequencies and productivity tools to bridge current software challenges and serve the analytical needs of the leadership team with data and analysis.
The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex business contexts, and is passionate about data and analytics. The candidate is an expert in business intelligence tools and partners with the business to identify strategic opportunities where data-backed insights drive value creation. An effective communicator, the candidate translates analysis results into executive-facing business terms.
The candidate works with internal and external teams to push projects across the finishing line. The candidate is a self-starter, comfortable with ambiguity, able to think big while paying careful attention to detail, and enjoys working in a fast-paced and global team.
Key Job Responsibilities
* Interfacing with business customers, gathering requirements, and delivering complete BI solutions to drive insights and inform product, operations, and marketing decisions.
* Interfacing with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL (Redshift, Oracle) and ability to use a programming and/or scripting language to process data for modeling.
* Evolving organization-wide Self-Service platforms.
* Building metrics to analyze key inputs to forecasting systems.
* Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
Basic Qualifications
* 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL experience.
* Experience with data visualization using Tableau, Quicksight, or similar tools.
* Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared).
* Experience with scripting language (e.g., Python, Java, or R).
Preferred Qualifications
* Master's degree, or Advanced technical degree.
* Knowledge of data modeling and data pipeline design.
* Experience with statistical analysis, co-relation analysis.
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