Cloud Analytics Lead

Customer – 15%

• Responsible for the analytics cloud migration of data and modelers from on-prem to the Microsoft Azure and to provide ongoing support for all cloud activities for the analytics teams.
• Work with internal analytics teams (and data scientists/modelers) and technology teams to test proof-of-concepts around training, development, and deployment of machine learning models in the cloud including assisting in architectural design discussions and providing recommendations on cloud services to be deployed.
• Ensure consistent and reliable technical support is provided to analytical teams in the development and delivery of analytical projects.

Technical – 50%

• Delivery of resilient analytical applications systems via “Infrastructure as a Service” and other DevOps practices. Establish CI/CD pipelines and code version-control (Git) across teams to enable best practices of code repositories.
• Work with SRE teams supporting Analytics to establish new processes to automate package management for machine learning libraries, access new data sources and efficiently manage hot/cold data in the cloud.
• Develop and maintain systems/application documentation for technical and non-technical audiences.
• Organize, secure, and automate existing infrastructure and deployments.
• Partner with analytics modeling teams to assist in the development of applications and infrastructure for new modeling projects.

Lead – 20%

• Responsible for managing at least one resource dedicated to cloud migration and infrastructure efforts for Analytics.
• Responsible for planning, organizing, and executing the Analytics cloud migration activities and management of cloud resources for the Insurance Analytics organization.

Support – 15%

• Supporting analytics team leads to share subject matter expertise, administer skills training, and lead cloud adoption across all analytics teams.
• Research, deploy and support new cloud processes to effectively manage compute and storage in the cloud.

Basic Qualifications

• Degree (Bachelor’s) in Engineering, Computer Science, Data Science or a Quantitative field
• 3 years of hands-on experience with Microsoft Azure and/or other cloud technologies (AWS, GCP, etc.)
• Exposure to Database Fundamentals and General Troubleshooting (tuning, optimization,) in any Relational Database Engine (MS SQL, Oracle, PostgreSQL, etc.)
• Exposure to Linux and Windows server including support and troubleshooting.
• Experience with System Administration and troubleshooting with Linux and/or Windows Server and associated technologies (Active Directory)
• Experience with Networking and troubleshooting (TCP/IP, DNS, OSI model, routing, switching, firewalls, LAN/WAN, traceroute, iperf, dig, cURL or related)

Excellent oral and written communications skills and is comfortable presenting results to senior leadership and business stakeholders.

Preferred Qualifications

• Degree (Master’s or PhD) in Engineering, Computer Science, Data Science, or a Quantitative field
• 5 years of experience working with Microsoft Azure and/or other cloud technologies (AWS, GCP, etc.)
• Experience analyzing, troubleshooting, and providing solutions to technical issues.
• Experience in a customer support environment and supporting analytics applications in the cloud
• Familiar with data warehousing and ETL processes and a strong understanding of Cloud computing concepts

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. If a qualified individual with a disability or disabled veteran needs a reasonable accommodation to use or access our online system, that individual should please contact accommodations@relx.com or if you are based in the US you may also contact us on 1.855.833.5120.

Please read our Candidate Privacy Policy