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Fast-Track Opportunity: Statistical Analyst with Web 2.0 Focus
New-York-City-Based Fitzgerald Analytics, a consulting firm focused on strategic analytics, and Bundle Corporation, a fast-growing Web. 2.0 venture focused on developing peer based financial data sets, are jointly
seeking a database modeling and statistical analyst. The ideal candidate will have a background in
economics, business, and statistics, though quantitative disciplines such as
physics, engineering, and computer science are welcome.
As part of our work together, Fitzgerald Analytics and Bundle Corporation are jointly recruiting for this position. Strong performance will lead to a long-term career opportunity at Bundle Corporation, Fitzgerald Analytics, or both.
Skills and Knowledge Required:
• Personality characteristics:
Ability to learn rapidly, work well in groups, and lead initiatives
Honest and ethical
Comfortable with ambiguity
Clear-thinking and effective despite stressful or unusual situations
Have an entrepreneurial mindset and be comfortable with risk
• Advanced statistical modeling skills
o Creativity in solving analytic problems via innovative methodologies which use multiple data sources, especially geo-demographic data, government data, and more
traditional financial services data sources
o Design, creation, QA, and documentation of analytic process and deliverables (in SQL, Acess, and Excel)
• Knowledge of data transformation processes including:
o Query design and related programming against large data sets to support analysis (for example SAS, SQL)
o Designing data structures and database schemas to support analytical goals
o Transforming raw data sets into those schemas
o Use established best practices to audit and ensure data quality
o Experience extending MSOffice products with VBA preferred
• Knowledge of basic personal finance concepts (e.g. budgets, mortgages, credit cards, etc.)
The ideal candidate has familiarity with manipulating large datasets from any or all of the following categories:
• Financial Experience: Experience or familiarity with financial budgeting, personal finance, and/or mortgage and real estate investment
• Academic Research: Experience with studies that involve creating formal models from large datasets
o Economic analysis of behavioral economics, asset/investment allocations, income distributions, spending behavior
o Experience with publically available US geographic and demographic data
• Market Research: Experience in retail or advertizing firms with large customer datasets
About Bundle Corporation: Getting Smarter About Money. Together.
Bundle is a joint-venture between Citi, Microsoft and Morningstar that provides peer based personal financial management tools and data. Everybody's Money is the most
comprehensive collection of free spending and savings data available to
consumers today. This role will involve
extensive interaction with the underlying data supporting Everybody’s Money as
well as new datasets that will be incorporated onto the website.
About Fitzgerald Analytics: Architects of Fact-Based Decisions™
Fitzgerald Analytics is a boutique consulting firm which specializes in information management and analytics. Headquartered in New York, Fitzgerald Analytics serves Fortune 1000 clients using its landmark Information
Landscape Services™ and Analytics Pathway™ frameworks, which enable analysis
that is more robust, more transparent, and more repeatable. We help clients to "make the invisible
visible," enabling high-stakes decisions that are more fact-based, more
successful, and more profitable.
Fitzgerald Analytics is a strategic advisor to Bundle, supporting Bundle’s mission of transforming data into valuable consumer insights. The two firms work closely
together to augment and extend Bundle’s data-driven innovations.
To learn more about Bundle Corporation, see www.Bundle.com.
For more information about Fitzgerald Analytics, see our website at www.fitzgerald-analytics.com.
For more information about this opportunity, contact Lauren Kane at [email protected] Please mention “Monster” in your email.
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