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Business Intelligence Data Analyst

Req #: 170113261
Location: Columbus, OH, US
Job Category: Technology
Potential Referral Amount: 3000 US Dollar (USD)

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.6 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.

Our Global Technology Infrastructure Group is filled with innovators who love technology as much as you do. Together, you’ll use a disciplined, innovative and cost-effective approach to deliver a wide variety of high-quality products and services. You’ll work in a stable, resilient and secure operating environment where you—and the products you deliver—will thrive.

 

• Maintain single reporting database repository of identified metrics from various source data locations that can be refreshed to near-real-time
• Collect/Aggregate performance and alert data for all devices in the JPMorgan Chase enterprise storage environment
• Develop repeatable and customizable analytics processes for reporting on business impacts
• Leverage analytics and dash boarding tools to provide high level as well as detailed on-demand reporting for senior management and technical staff
• Refine reporting metrics to establish better root cause for issues in the storage environment
• Use HP Service Manager feeds to correlate alerts and incidents and identify trends to better direct technical resources toward long term resolution
• Work with technical staff to better understand validity and criticality of data and how it impacts operations
• Help to focus efforts on long term resolution of issues through trending and forecasting
• Build new dashboards for L2 SAN team and management to catch and resolve incidents before they arise
• Evaluate production performance level issues to diagnose and address underlying system problems and inefficiencies
• Willing to take ownership, and able to independently work toward implementation.
• Able to manage complex and ever-changing workload.
• Proven analysis, reporting, and troubleshooting skills.
• Ability to absorb & present complex ideas quickly & accurately
• Strong communication skills (verbal and written) with the ability to communicate complex issues to technical and nontechnical audiences that include peers, lines of business partners, and senior management
• Strong documentation skills to be able to write design and support documentation.

• Use of querying applications such as SQL Plus & DTOA·
• Excellent attention to detail and ability to raise questions and seek resolution to outstanding clarifications required
• Excellent analytical, oral and written communication skills
• Excellent interpersonal skills necessary to work effectively with colleagues at various levels of the organization
• Advanced and demonstrable problem solving / analytical skills
• Ability to listen/observe/acknowledge/lead by example and provide recommendations
• Ability to prioritize and work under stringent timelines
• Result oriented with proactive approach to resolving problems
• Ability to develop creative implementation solutions to meet deadlines
• Strong focus on efficiency and controls

Technical Skills:

• 5+ years of experience business/systems analysis and/or data mining experience
• 5 + years of Information Technology experience within large enterprise environments
• Development experience with Business Intelligence tools like: Microsoft SQL SSRS, Cognos, Crystal Reports, Qlikview is preferred
• Experience and familiarity with SAN systems and related concepts is desired
• 2+ years with PL/SQL Stored Procedures support/development, SQL Server, MSSQL, T-SQL
• Knowledge in any of the Data Tools like SQL Developer, SQL Loader, PLSQL developer is must
• Strong SQL / data mining skills required; SAS experience preferred
• Independent thinking with the ability to self-directProficiency in Microsoft (Excel, Word, PowerPoint, Project)
• Strong database experience working with various RDBMS platforms; Application Development, Database Design, Data processing, Data Warehouse and Support
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