Jobs

OBJECTIVE: The ideal candidate has a proven record supporting in-depth quantitative analytical and research studies and a precise understanding of how to leverage findings to drive profitability and process improvements. The analyst's core responsibilities will be focused around supporting and building data-driven predictive models using Data Mining and Statistical Forecasting techniques.

Department: Analytics
FLSA Status: Full-Time, Non-Exempt, Salary

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned.

• Analyzing and understanding historical business data for detecting previously unknown trends and rules.
• Data pre-processing for analysis, including clean-up and filtering.
• Experimenting with different types of algorithms and modeling techniques.
• Evaluating model performance and fine-tune as necessary.
• Eliciting and documenting business problem and requirements from (internal) customer.
• Communicating model reports with business owners.

• Communicate clearly and effectively both orally and in writing with persons having diverse backgrounds of knowledge and experience;
• Ability to work independently, retaining flexibility in working methods, schedules and travel
• Adjust to a fluctuating work load; withstand pressure of deadlines, operating problems and interpersonal tensions; organize and manage time and resources; establish priorities and coordinate work on many projects simultaneously.

• Bachelor's Degree in Statistics/Economics/Business/Quantitative Finance/ Operations Research or Management Science (Master's preferred).
• Experience with predictive modeling, statistical and financial analyses, data mining, optimization and similar data-driven business solutions; experience planning, conducting, analyzing, and presenting research.
• Advanced knowledge of statistical software like SAS (should have certification or be willing to obtain one soon upon joining).
• Familiarity with a variety of research methodologies like consumer panel, linear / logistic regression, pricing, econometric and forecasting analytics.
• Ability to work in cross-functional teams, using research to address business needs and making actionable recommendations based on research findings.
• Must be extremely well organized, analytical and capable of handling multiple ad hoc requests for information simultaneously.
• Excellent presentation and writing skills.
• Must be able to take responsibility for completion of a project with multiple parts and work collaboratively with other team members and research suppliers to ensure project meets deadlines and budgets.
• Some programming ability (SQL, C++ preferred).
• Industry experience (AR management/Risk management/credit/collections/debt purchasing/receivables modeling) desirable.
• Ability to facilitate the setting up of a data warehouse will be an added advantage.