PGIM Fixed Income is a global asset manager offering active solutions across all fixed income markets. The company has offices in Newark, New Jersey, London, Tokyo and Singapore. As of December 31, 2019, the firm has $851 billion of assets under management including $365 billion in institutional assets, $159 billion in retail assets, and $327 billion in proprietary assets. Over 790 institutional asset owners have entrusted PGIM Fixed Income with their assets.
Who We Look For:
In PGIM Fixed Income, our technology group is a dynamic, fast-paced environment, with exciting changes on the horizon under new senior leadership. We are looking for a lead business intelligence resource to align with senior leaders in creating a Center of Excellence for all new visualization and data analytics within the various departments in Fixed Income. Our ideal candidate will have proven experience in leading teams in building dynamic analytics report/dashboards for financial end-users. The right candidate for this role will identify this challenge as a unique and valuable opportunity to help drive our global technology transformation, so if this sounds interesting, then PGIM could be the place for you.
Want more jobs like this?
Get Data and Analytics jobs in Newark, NJ delivered to your inbox every week.
What You Will Do:
- Align with senior leaders in establishing a new BI Analytic Center of Excellence within PGIM Fixed Income, determining the ideal BI tech stack for our end-users
- Lead a small team of BI specialists with backend platform expertise and front-end consultancy capability
- Transform complex reporting needs into technical specifications, including calculations, custom groups, parameters, filtering criteria, aggregations etc. Breakdown complex requirements into user stories, and drive delivery with the product team
- Recommend best practices from both a technical and process perspective as related to Tableau development
- Groom large datasets for optimal performance and maintainability
- Troubleshoot issues as they occur, identify criticality and impact, and provide appropriate workarounds
- Oversee and handle all support, ticket resolution, feature requests and defect tracking
Qualifications:
What You Will Need:
- 7 years of Tableau application development experience, including visualizations, parameters, and report optimization
- 3 years of experience in a BI Lead role, including implementation of best practices and SDLC concepts
- Demonstrated experience with leading, coaching and developing a team of technical resources
- Expertise across multiple BI platforms and data visualization tools include Tableau and Power BI
- Solid exposure to ETL toolsets used to extract data into queryable format ready to analyze such as Alteryx
- Strong experience with performance tuning business intelligence and database platforms for maximum performance in each technical configuration
- Expertise with multiple database platforms including relational databases (ie. SQL Server and Oracle) as well as cloud-based data warehouses such as Amazon Redshift and Snowflake
- Experience with both server and desktop-based data visualization tools
- Expertise with managing and mining very large internal and external data sets
- Good experience with sourcing external data sets to meet business needs
- Demonstrated experience with testing business hypotheses, asking the right questions to provoke thoughts from business users and ultimately using data to test and validate hypothesis
- Very strong experience with quickly building data visualization worksheets and dashboards to analyze, view and interpret data sets
- Demonstrated experience with using predictive, prescriptive and descriptive data analytics to test, question and solve business problems
- Have a consulting mindset when working with internal clients across multiple departments of the organization
- Ideally familiar with financial services datasets across investment, product and distribution functions - not essential but highly desirable
- Bachelor's degree in Computer Science or equivalent, with a strong preference in a Data-centric major.