Senior IS Applications Analyst, Back-end & Automation Support

at  Providence

REQUIRED QUALIFICATIONS:

• Bachelor’s Degree in Computer Science, Business Management, Information Services, Engineering, Commerce or Combination of education and relevant experience (at least 5 years of relevant experience)
• 5 years of related experience; more preferred.
• 2 years demonstrated ability to successfully execute medium to complex projects; methodologies related to application management such as system deployment, support, and resilience modeling; experience in process improvement methodology, change management, operational improvement in complex systems.

PREFERRED QUALIFICATIONS:

• Azure certification
• Machine Learning Course or Certification
• Experience working with C Sharp, Python and Azure Data Bricks
• Experience collaborating with multiple teams and good stakeholder management skills.
• Strong communication and presentation skills

• Ability to read, write, configure code, and design for end-to-end service telemetry, alerting and self-healing capabilities.
• Good knowledge of infrastructure and server products such as Windows Server, Virtualization, SQL Server, Network technologies, Active Directory, and Cloud technologies and services.
• Excellent verbal and written communications skills with the ability to create technical presentations/documents. Basic project management.
• Advises on caregiver, business, and technical requirements. Uses expertise to design components of a service architecture, and operability and caregiver scenarios that meet compliance standards and KPIs, such as quality, cost, and caregiver expectation.
• Advises on and incorporates the team’s standards and best practices into all designs to create high-performance, manageable services.
• Contributes to the design of a service delivery system by evaluating and recommending options for tools, hardware, and processes that enable the team to create a complete system that supports service delivery and meets KPIs.
• Defines and collects metrics (such as service availability data, performance measures, system health, and long-term trends) to support service intelligence analysis