FBS Data Production Support Analyst

Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our client is part of one the largest Insurance Groups in the world.

Role Overview

The purpose of this role is to ensure smooth operations of our production data assets. Activities will include monitoring production systems for incident occurrence, alerting applicable parties when incidents arise and incident triaging and management. They will also carry out activities to prevent production incidents.

The Data Production Support Analyst plays a crucial role in ensuring the smooth operation of our production data assets and overall operational efficiency.  They ensure the reliability and accuracy of our data production processes.  This role requires a blend of technical expertise, data acumen, problem-solving skills, the ability to work under pressure and the ability to work collaboratively with various teams.

Qualifications/Skills

• Education: Bachelor’s degree in computer science, information technology, or a related field is preferred.
• Advanced English level
• Proven experience in data production support or a similar role. Familiarity with data production tools and technologies.
• Strong knowledge of IT systems, applications, and troubleshooting techniques. Proficiency in relevant software and tools.
• Strong knowledge of database management, data warehousing, and ETL processes.
• Proficiency in programming languages such as SQL, Python, or Java.
• Problem-Solving: Excellent analytical and problem-solving skills. Ability to diagnose and resolve technical issues efficiently.
• Communication: Strong written and verbal communication skills. Ability to explain technical concepts to non-technical stakeholders.
• Attention to Detail: High level of attention to detail and commitment to data accuracy.
• Attention to Detail: Precision in monitoring systems and documenting incidents and solutions

Responsibilities

• Administers, analyzes, and prioritizes systems issues and negotiates a course of action for resolution.
• Supports work flow and solutions; trouble shoots user errors and supports reporting capabilities.
• Utilizes system monitoring utilities to monitor system availability.
• Extracts and compiles data system monitoring data to create availability scorecards and reports.
• System Monitoring: Continuously monitor IT systems to ensure optimal performance and availability, identifying and addressing potential issues before they escalate.
• Monitoring and Maintenance: Regularly monitor production data assets to ensure they are functioning correctly and efficiently.  Alerting applicable parties if an issue arises in production.
• Issue Resolution: Work with data team to identify, diagnose, and resolve technical issues related to production data assets. Work with relevant teams to implement effective solutions.
• Incident Management: Manage and prioritize incidents, ensuring that they are resolved promptly and efficiently and follow the incident management process. Document incidents and resolutions for future reference.
• Incident Management: Respond to and resolve technical issues reported by users or automated monitoring alerts. This includes diagnosing problems, identifying solutions, and implementing fixes.
• Problem Analysis: Analyze recurring issues to identify root causes and implement long-term solutions to prevent future occurrences.
• Root Cause Analysis: Conduct thorough investigations to determine the underlying causes of recurring incidents and implement preventive measures.
• Preventative Measures: Identify incidents that recur and put solutions in place to prevent recurrence.
• Data Integrity: Work with data team to ensure the accuracy and integrity of data produced and provided to the business, work with the data teams to implement and maintain quality control measures to prevent errors.
• Documentation: Maintain comprehensive documentation of processes, system configurations, and troubleshooting procedures.  Ensure documentation is created and owned be it by the data team or the production support team.
• Support: Provide support to data teams, data users and stakeholders. Respond to inquiries and assist with requests as applicable.
• Optimization: Identify opportunities to optimize data production processes and implement improvements to enhance efficiency.
• Performance Optimization: Analyze system performance and identify areas for improvement. Suggest and implement changes to enhance system efficiency and reliability.

This position comes with competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Home Office model
4. Career development and training opportunities
5. Flexible work arrangements (remote and/or office-based)
6. Dynamic and inclusive work culture within a globally known group
7. Private Health Insurance
8. Pension Plan
9. Paid Time Off
10. Training & Development
11. *Note: Benefits differ based on employee level