Commercial Banking (CB) serves more than 30,000 clients, including corporations, municipalities, financial institutions, and not-for-profit entities with annual revenues generally ranging from $20 million to $2 billion. The Firm's broad platform positions the Commercial Bank to deliver extensive product capabilities - lending, treasury services, investment banking, and asset management - to meet our clients' domestic and international financial needs.

Wholesale Lending Services (WLS) exists within Commercial Banking and provides loan servicing functions to all four JPMorgan lines of business.  These functions include loan documentation, closing and funding, payment and fee processing, syndication loan and trade processing, credit administration and collateral perfection and management.

One of the top priorities across the Chief Administrative Office (CAO) at JPMorgan Chase is to help the firm move toward a more integrated data management strategy.  Our businesses and corporate groups rely on data to facilitate and execute transactions, support our clients, identify potential risks, and meet regulatory requirements.

The CB WLS Operations Data Quality Analytics & Reporting Associate will lead the development of executive level dashboards and custom reporting to proactively monitor the quality of data under management, using Tableau or Qlik Sense.  The candidate must possess advanced analytical expertise, a client-focused mentality, superior communication skills, and intellectual curiosity, while applying their technical and design skills to build new business intelligence data visualization and reporting.  Prior experience designing and building dashboards in Qlik Sense or Tableau is required. Proficiency with SQL querying, and experience analyzing data is also required.

The candidate will work in a complex data environment, and develop a solid understanding of WLS businesses, functions, systems, and data flows that are key to understanding and supporting the quality of data, serve as our in-house data quality analytics and insight expert.  The role will engage with various business, technical, and other partners.

In addition, ideal candidate can independently research and resolve issues, and thrives in a fast-paced, competitive environment with a team that prides itself on attention to detail and results.  Working knowledge of data management practices and governance, including data dictionaries, metadata repositories, and data quality management tools is preferred.

• Own and manage all aspects of end-to-end dashboard reporting, including requirements gathering, identifying key report metrics, development, data aggregation/modeling, reconciliation/validation testing, deployment and ongoing maintenance of reports.
• Enforce best practices for governance framework and operating model for special reporting projects that require strategic data management and leadership.
• Practice strong project management disciplines, with the ability to collaborate with multiple points of contact in order to achieve results.
• Write complex queries for data analysis and data profiling, using a variety of tools.
• Assure the integrity of data, including data extraction, aggregation, modeling and manipulation used in reporting.
• Strong relationship building skills with business functional area counterparts and conduct regular working groups for assigned projects, demonstrating consultative approach and influencing skills.

• 3+ years of relevant work experience in business intelligence delivery & reporting, analytics, process improvements, project management and/or management consulting.
• 3-5 years of experience in a reporting or business analytics role.
• 5+ years in the financial services market, preferably across loan operations and/or loan technology preferred.
• Hands-on user experience designing and implementing data visualizations in dashboards, using tools such as Tableau and Qlik Sense.
• Experience with Collibra, JIRA and/or Data Quality tracking tools desirable
• Excellent working knowledge of Microsoft Office Applications (Excel, Pivot Tables, Access, Power Point, Visio).
• Experience using data profiling and ETL tools (Informatica, Ab Initio) is highly desirable.
• Strong understanding of data warehouse concepts and working experience in relational and dimensional modelling is required.
• Strong data analysis/quantitative/technical aptitude with ability to quickly learn new metrics, processes and datasets.
• Strong organizational and time management skills, and adept at managing multiple priorities
• Strong verbal and written communication skills with demonstrated presentation skills.
• Bachelor’s degree required, with preferred concentration in Math, Statistics, Economics, or similar quantitative disciplines.