Business Intel Engineer I, IN FC Analytics

Analytics Ops and Programs team is looking for an innovative hands-on and customer-obsessed Business Intelligence Engineer. Candidate must be detail oriented have superior verbal and written communication skills strong organizational skills excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects make sound judgments work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams.

Key job responsibilities
(i) Interfacing with business customers gathering requirements and delivering complete BI solutions to drive insights and inform product operations and marketing decisions.
(ii) Interfacing with other technology teams to extract transform and load data from a wide variety of data sources using SQL (Redshift Oracle) Python AWS Services like S3 Lambda SQS/SNS Kinesis Datanet and ability to use a programming and/or scripting language to process data for modeling
(iii) Evolve organization wide Self-Service platforms
Building metrics to analyze key inputs to forecasting systems
(iv) Recognizing and adopting best practices in reporting and analysis: data integrity test design analysis validation and documentation

A day in the life
1) Solve analyses with well-defined inputs and outputs; drive to the heart of the problem and identify root causes
2) Have the capability to handle large data sets in analysis
3) Derive recommendations from analysis
4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing
5) Communicate analytical insights effectively

About the team
AOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities and reduce repeat analytics/reporting/BI workload for operations across IN AU BR MX SG AE EG SA marketplace.

AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers Analysts and Scientists who champion customer obsession.

We enable operations to make data-driven decisions through developing near real-time dashboards self-serve dive-deep capabilities and building advanced analytics capabilities.

We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams.

- 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 building and maintain basic data artifacts (e.g. ETL data models queries)
- Experience with scripting language (e.g. Python Java or R)
- 2 years of ecommerce transportation finance or related analytical field experience

- Masters degree or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis co-relation analysis

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