AOP FC Analytics team manages a suite of MIS reporting published at a various regular frequency productivity tools to bridge the current software challenges and serve all analytical needs of leadership team with data & analysis.
The ideal candidate relishes working with large volumes of data enjoys the challenge of highly complex business contexts and above all else is passionate about data and analytics. The candidate is an expert with business intelligence tools and passionately partners with the business to identify strategic opportunities where databacked insights drive value creation. An effective communicator the candidate crisply translates analysis result into executivefacing business terms. The candidate works aptly with internal and external teams to push the projects across the finishing line. The candidate is a selfstarter comfortable with ambiguity able to think big (while paying careful attention to detail) and enjoys working in a fastpaced 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
Evolve organization wide SelfService 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
2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. 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. ttest Chisquared)
Experience with scripting language (e.g. Python Java or R)
Masters degree or Advanced technical degree
Knowledge of data modeling and data pipeline design
Experience with statistical analysis corelation analysis
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