IT Systems Support Analyst

Company Overview

Keystone Advisors is a full-service marketing company aligned with Top Health Insurance Carriers to provide our partners and clients a broad and competitive portfolio of Insurance Options. We have over 20 years' experience in Insurance marketing while serving our local communities with Medicare, Individual, Group Health, Life, and Annuity products. The foundation of the company and its employee's lie in our core values : Customer service, integrity, compassion, tenacity, & collaborator [team player]

Job Summary

The IT Systems Support Analyst is crucial for maintaining optimal operation of Company Offices and Call Centers, managing IT infrastructure, and spearheading advanced data analysis initiatives. This role demands experience using Azure Synapse Analytics and Azure Data Factory for data processing and analytics, as well as proficiency in Python scripting and data manipulation using Pandas. The specialist will work closely with CIT Solutions and Systems Administrators to tailor IT and data solutions to the company's needs.

Duties and Responsibilities

• Implement and manage data processes using Azure Synapse Analytics and Azure Data Factory, focusing on data warehousing, ETL processes, and data pipeline optimization for enhanced business insights.
• Design, implement, and optimize data pipelines, ensuring seamless data integration and processing using Azure services.
• Support the corporate trainer in educating employees on IT systems, data security, and analytics tools, with a focus on Python and Pandas for data analysis.
• Maintain IT and data analysis documentation, including operating procedures and training materials, with an emphasis on Azure Synapse Analytics and Data Factory usage.
• Automate and manage VoIP and data analytics reports, leveraging APIs and Azure analytics tools, to streamline data reporting and insights.
• Drive process improvements by automating manual tasks, optimizing data delivery, and redesigning infrastructure for scalability, particularly through Azure solutions.
• Continually improve data reliability, efficiency, and quality by monitoring and optimizing data pipelines and analytics processes.
• Log, track, and disseminate testing and analysis results, promoting a data-driven culture within the organization.
• Conduct quarterly reviews to ensure the efficacy of department-specific scripts and data processes, updating as necessary for optimal performance.
• Train backup support staff in IT and data analysis tasks to ensure continuity and coverage.

Knowledge, Skills, Abilities

Qualifications

Working Conditions

Physical Requirements