About Oracle SaaS Cloud SRE
Oracle SaaS Cloud SRE plays a critical role in
delivering and supporting best-of-breed cloud solutions to Oracle customers.
Oracle Cloud is the industry's broadest and
most integrated public cloud. It offers best-in-class services across software
as a service (SaaS), platform as a service (PaaS), and infrastructure as a
service (IaaS), and even lets you put Oracle Cloud in your own data center.
Oracle Cloud helps organizations drive innovation and business transformation by
increasing business agility, lowering costs, and reducing IT complexity.
The Oracle Cloud has shown strong adoption,
supporting 70 million users and more than 30 billion transactions each day.
It runs in 19 data centers around the world.
Our team delivers cross-team visibility and
execution on the most challenging reliability issues impacting Oracle's SaaS
customers. We engage deeply with service owners and stakeholders to deeply
understand and improve critical issues that impair service experience.
We’re looking for a talented and energetic data analyst to join our site
reliability and engineering team. Help enhance the lives of customers by
improving business critical HR, Finance and CRM solutions. You’ll be empowered
to lead and define the data collection and analytics tools and strategies to
generate data-driven insights into system performance and identify
opportunities that reduce customer page load times, errors and outages. You’ll
use informative visualizations to communicate opportunities and improvements
achieved. You’ll also get to help define the direction and strategy of SRE and
larger product development teams through your findings.
We’re a smart, fun and collaborative team that’s motivated to see each
other succeed. Come and join us!
Qualifications
·
3 – 5 years of professional
experience in data mining and analytics
·
BA/BS degree in statistics, computer
science, mathematics or engineering
Preferred
Qualifications
· Experience with ad-hoc
data analysis and data visualizations
· Strong data analytical
skills – Should be able to dissect massive datasets and spot patterns and
provide meaningful insights
· Experience with big
data and mining complex data sets;
· Strong knowledge in SQL and Python; should be able to develop ETL
applications based on several massive datasets
·
Experience in working with data
scientist and other engineering teams
!|!Provides programs to improve operational efficiency, consistency, and compliance in support of the organization*s financial and tactical business objectives. Provides business practices and processes. Develops, communicates, and trains the organization on business practices and processes.
Serve as a liaison with other divisions such as Finance, Contracts, HR, Legal, Shared Services, Accounts Receivable, Purchasing, and Risk Management in an effort to ensure accurate and timely transaction processing. Collect, input, verify, correct, and analyze data to measure key performance indicator actual versus business objectives. Provide updates to management regarding budget to actual, informing them of deviations and opportunities. Provide management with economic impact and compliance issues surrounding key business decisions and/or deals. Communicate Oracle Business Practices to the organization and monitor process and approvals for full compliance. Drive implementation of new processes and procedures.
Job duties are varied and complex utilizing independent judgment. May have project lead role. Attention to detail critical. Ability to collect, organize, and display data in spreadsheet format. Follow-through skills necessary to get information from internal and third parties and have data errors/omissions corrected. For this, relationship management skills strongly desired. Strong written and verbal communication skills to interact with management and possible clients desired. 5 plus years relevant work experience.
Oracle is an Affirmative Action-Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veterans status, age, or any other characteristic protected by law.
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