Data Operations Analyst
5 days ago
We are Manulife Financial, a leading global financial services company. Our mission is to help our customers achieve their long-term financial goals and improve their well-being.
Salary and Benefits
We offer competitive salary packages and performance bonuses. Our comprehensive benefits program includes day 1 HMO coverage for employees and their dependents, retirement savings benefits, and a rewarding culture that values wellness and well-being.
Job Description
In this role, you will be part of our GWAM Technology Data & BI Services Team at MBPS. You will work with an Agile team to provide Level 2/Level 3 support for various systems, debug and troubleshoot applications, analyze data-related issues, and design reports using PowerBI, Power Automate, or PowerApps.
Key Responsibilities
- Technical Support and Troubleshooting: Provide technical support and troubleshooting for a wide range of systems, including SQL, Python, PowerShell, .Net, VBA, and Perl scripts.
- Data Analysis and Investigation: Analyze and resolve data-related issues, such as incorrect data or discrepancies, and investigate feed failures using tools like Azure Data Factory, CA, and Databricks.
- Reporting and Metrics: Design and build reports to track key metrics and develop strategies for increased efficiency.
- Collaboration and Development Coordination: Work with development teams to coordinate efforts for both major and minor enhancements, ensuring alignment and progress.
- Continuous Improvement and Documentation: Stay updated on industry standards and methodologies, consistently apply continuous improvement principles, and document findings and processes for application support.
Qualifications
- Education: Bachelor's Degree holders welcome to apply
- Experience: Minimum 2 years working experience supporting systems at Level 2 (support)
- Hybrid Work Arrangement: 3 days on-site and 2 days Work From Home every week, in a rotating shift (day/mid/night)
Required Skills and Qualifications
- Understanding of Azure Cloud Technologies – Azure Data Factory, Databricks (required)
- Strong knowledge and experience in at least 4 of the following technologies: CA Workload Automation, MS SQL / Oracle, Shell Scripting/ Power Shell / UNIX, Big Data Technologies like HIVE, HADOOP, Oozie and NiFi, PowerBI, Informatica development (or related ETL tools)
Working Arrangement
Hybrid
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