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Business Intelligence Engineer

Toronto, Ontario  - Permanent



Job Description

We are seeking a business intelligence engineer for our personalization team. Personalization team has an impact over every pixel on our mobile app and drives awesomeness by showing relevant products and relevant services to our customers. The incumbent will have strong analytical capabilities and broad technical skills to develop insights that allow for new capabilities that enable personalization product team to come up with features that will improve on our customer experience. You will be working closely with world class software engineers, machine learning engineers and business teams and your insights will have a direct impact on the product roadmap of personalization.

Responsibilities include:
·Analysis of historical data to identify trends, develop predictive models and support decision making, including written and verbal presentation of results and recommendations.
·Collaborating with software development teams to design and implement analytic systems and data structures to support large-scale data analysis and delivery of machine learning and econometric models.
·Setup A/B tests and ensure measurements are setup correctly and results are reported.
·Analyzing data from logs, spark and simulation results.
·Identifying data needs and driving data quality improvement projects.
·Understanding the broad range of our data resources, which to use, how, and when.


Must Have Skills:

·MS degree or higher in computer science engineering, statistics, mathematics, econometrics, or a similar quantitative field.
·5+ years work experience in data mining and analysis.
·SQL expert with prior success working with extremely large data sets using big data technologies like spark and hive.
·Experience with web development/automation, scripting languages, and functional programming.
·Demonstrated ability to directly partner with business owners to understand requirements.
·Effective spoken and written communication to senior audiences, including strong data presentation and visualization skills.
·Detail-oriented with an aptitude for solving unstructured problems


Details:
Starting: ASAP
Travel: 0%
Dress Code: Casual
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