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 Sr. Associate, Acquisition Marketing Analytics

Details
Country: USA
Location: Riverwoods IL
Total applied: 40
Location:US-IL-Riverwoods

Base Pay:N/A

Commission:
$0.00Employee Type:Full-Time Employee

Industry:Banking - Financial Services

Manages Others:no
Sr. Associate, Acquisition Marketing Analytics

Job Description
Design, coordinate and conduct complex statistical and business analysis projects using the appropriate internal or external data sources. Act as liaison for clients (e.g., Senior Management, Acquisitions, TM and others) with outside service bureaus and consultants to give analytical advice, plan/implement projects, and interpret results. Control and execute projects that support acquisition information requirements. Provide expectations for the content, access, and platform requirements of appropriate systems as tools in decision support.
Responsibilities
Statistical Analysis - Design, develop and interpret various complex business and statistical analyses and models to support effective higher-management decision-making as it applies to target marketing, customer segmentation, and evaluation of marketing programs, etc. Work closely with Business Partners to create valid data extraction specifications and to ensure that those specifications are met.
Vendor Liaison - Identify, evaluate and qualify outside vendors to act as resources for specific business needs. Monitor and review outside vendors’ services or work products to ensure that schedules are maintained, and that the quality of work meets requirements and conforms to acceptable standards. Act as control point, as required, for the specification and validation of data extracts to be created for use by vendors in analytical projects.
Internal Business Consultant - Advise Business Partners or casual users in other departments on Statistical/Modeling issues.
Definition of Business Requirements - Guide the on-going development and maintenance of database and related systems as management and decision support tools. Determine what data or documentation is to be created, collected and maintained. Work with appropriate areas to assure the proper sources, form and retention of this data.
External Data Procurement - Determine requirements for external data and overlays. Identify, evaluate and recommend alternative sources of external data prior to purchase to ensure usefulness, quality, and cost effectiveness of data enhancements. May negotiate contracts with outside vendors.
Platform Definition - Assist in the development of requirements for the support levels, access, tools and software required for effective acquisition modeling and general statistical analysis. With BT, monitor and evaluate the performance of these platform issues as needed to support the delivery of accurate and timely decision support services and documentation.
Business Knowledge - Establish and maintain a thorough understanding of the statistical and business impact of key variables on account acquisitions and account post-booking behavior. Proactively identify trends or developments that may impact business plans or performance or which may represent opportunities. Keep functional areas and management abreast of such findings on a timely basis.
Technical Expertise - Maintain a high level of competency in statistical and analytical principles, tools and techniques.
REQUIREMENTS
REQUIRED SKILLS:
A Master’s degree or higher in economics, statistics, mathematics, business, computer sciences, or other heavily quantitative degree is a must.5+ years professional experience – with a strong background in quantitative analysis and/or financial analysis. Modeling experience is a must.Excellent communication and interpersonal skills required. Candidate must have the ability to work with minimum supervision, the ability to present results clearly and precisely to the higher management, and demonstrate outstanding problem solving and decision making skills.Solid experience with SAS or similar statistical software packages in UNIX and PC environments. Strong Hands on ability with SAS is a must. SQL experience preferred. Strong Excel skills required.Strong statistical and analytical problem conceptualization, communication, and project management skills required. Experience with predictive modeling, segmentation, and experimental design (preferably in the credit card industry) is a plus.
DESIRED SKILLS:

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