10 Feb

Cloud Data Analyst Toronto Jobs Vacancy in State Street Toronto

Position
Cloud Data Analyst Toronto
Company
State Street
Location
Toronto ON
Opening
10 Feb, 2018 30+ days ago

State Street Toronto urgently required following position for Cloud Data Analyst Toronto. Please read this job advertisement carefully before apply. There are some qualifications, experience and skills requirement that the employers require. Does your career history fit these requirements? Ensure you understand the role you are applying for and that it is suited to your skills and qualifications.

Follow the online directions, complete all the necessary fields, and provide all relevant information so your application is submitted correctly. When you click the 'Apply this Job' button (open in new window) you will be taken to the online application form. Here you will be asked to provide personal and contact details, respond to employment-related questions, and show how you meet the key selection criteria.

Cloud Data Analyst Toronto Jobs Vacancy in State Street Toronto Jobs Details:

Who we are


We are a ‘change the bank’ challenge team, working with internal and external partners to develop advanced, digitally enabled solutions that drive significant value to our clients and operating business lines.


Core to these efforts are the engineering, build and operation of State Street's multi public cloud technology infrastructure. In short, we are assembling a team of cloud experts to provide global solutions for our internal groups as well as other financial giants.



What you will do


As a Data Analyst , we’ll look for you to utilize your domain expertise to tackle the complexities of building and integrating data-centric applications. These applications will transform and enrich digital exhaust emanating from business applications and the infrastructure services supporting them into a collection of insights tailored to address operational and resiliency imperatives.


You will be responsible for synthesizing machine generated data (platform and infrastructure metrics) to understand operational performance, identify key trends and initiate proactive alerts. Given State Street’s global footprint and warehouse computing, this role will be instrumental in the use of machine learning and big data analytics to enable operational resiliency of our next generation platforms and applications.


You will develop custom algorithms to aid in data sanitization, correlation and insight generation using open source machine learning packages, statistical routines and mathematics libraries


Prototype data models and potential enrichment data sources to address high level IT operational requirements and metrics


You will write specifications based on prototyping outcomes for large scale data centric applications that operate in a real-time manner


You will build and maintain data driven infrastructure services, focused optimization models, cost forecasting algorithms and sizing guidelines


You will create reporting templates using business intelligence tools to track and monitor key performance metrics / indicators


Maintain knowledge of developments / trends in use of data for operational management of large platforms utilizing public cloud provider services


Who you are

You have strong data wrangling / data transformation abilities across large, complex non-relational datasets using languages such as R, Python and SQL.


You have prior data mining / analytics experience using packages such as NumPy, SciPy, pandas, scikit-learn, dplyr, ggplot2.


You have strong analytical skills with the ability to collect, organize, analyze and report on significant amounts of information. Attention to detail and numerical accuracy is a must for this role.


You have proficiency using big data platforms such as Spark, HBase, Flink and Kafka.


You have a good understanding of interconnections between complex systems, large scale web architectures and have general knowledge of agile software development concepts and processes.


Ideally, you have 5 yrs of experience, of which 2 has been in a role leveraging AWS, Azure or GCP


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