Direct Marketing Statistical Modeler
- Job Title
- Direct Marketing Statistical Modeler
- Job ID
- 1026533
- Location
- Livonia, MI 48152
- Other Location
- Description
-
Conexess is a national provider of career opportunities for skilled and hardworking professionals. With over 80 combined years of experience, we consistently attract top professionals by treating candidates with the utmost respect and professionalism, serving as a career counselor and continually updating consultants on new opportunities. Our knowledge of the marketplace and IT industry has allowed us to build deep and trusting relationships with leading businesses nationwide.
At Conexess Group, our culture and values reflect our company's innovative approach toward attracting and retaining the most talented experts and producing consistent results for our Fortune 500 and mid-cap clients. Known for our technology leadership and our entrepreneurial passion, our firm has been delivering value to our clients by providing solutions to their most complex talent challenges.
Direct Marketing Statistical Modeler
General Purpose
Operating within the core values and operating principles of the organization, the Direct Marketing Statistical Modeler is responsible for building mathematical models to predict purchase, policy lapse, and other customer behavior in order to improve profitability and sales in the direct marketing channels. Track model performance and report results to management.
Develop and identify marketing segmentation opportunities, and create customer profiles to enhance our knowledge of customers and members.
Keep up to date on current practice in the subjects of statistical response modeling and database marketing. Assist in developing the modeling and analytic teams.
Position Responsibilities
· Analyze, develop, and interpret data models and protocols for mining marketing databases. Monitor model performance. Report findings to management and recommend improvements and/or solutions, such as alternative products, package, segmentation, or modeling.
o Identify, collect, verify and prepare data for use in modeling engagements
o Design and construct datasets to facilitate the modeling process
o Develop procedures and standards regarding predictive modeling
o Utilize variable selection techniques to prioritize variables for multivariate analysis
o Build and implement response models for each direct mail product/geography- Design and implement metrics to monitor model expectations against experience to determine areas of model weakness
- Prepare and maintain a general modeling strategy.
· Design and implement statistical data quality procedures around data sources.
· Assist senior team members in explaining and presenting analysis results and proposals to internal and external clients.
· Provide instruction to analytics team members in statistics and statistical modeling.- Research innovations in technology and modeling techniques that can improve client's ability to market to its customers. Report to management feasibility of use within client.
Core Competencies
· Achieves Results/Has Bias for Action - Achieves stretch results. Strong bias for action with sense of urgency and high energy. Practices collaborative working environment to achieve more.
· Customer Focus - Has ability to look from customer’s view. Viewed as business partner by external and internal customers. Anticipates customer needs to ensure no barriers to doing business.
· Uses Effective Communication Skills - Candid, clear and concise in communication. Effectively matches style, tone and method to audience. Connects with intended audience. Manages communication and feedback within the organization.
· Displays Team Orientation - Works collaboratively to achieve organization’s success.
· Technical/Professional Skills - Strives to stay ahead of technical/professional expertise, is proactive and inspires others to stay current in areas of technical expertise.
Required Education/Experience- Bachelor’s degree in Probability and Statistics, Operations Research, Linear Programming, Computer Programming, Economics, Finance, and Marketing is required. Master’s degree preferred.
· Must demonstrate proficiency in data mining models, structures, or methods.
· Strong familiarity with data preparation, processing, classification and forecasting.
· Prior technical experience with relational databases.
· Direct experience with data management techniques and algorithm development.
· Insurance or member organization experience is a plus.