Senior Director Analytics (Retail Banking)other related Employment listings at Geebo

Senior Director Analytics (Retail Banking)

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The Senior Director of our Analytics team must be a well-rounded individual, with the ability to approach projects both operationally and analytically. The Senior Director will engage with a large, world class client to ensure timely delivery of data and ad-hoc analysis, modeling, and strategic consulting to support the client?s marketing programs and result in the greatest impact to their bottom line. They must be able to succeed as both an individual contributor (get hands-on as needed) and as a member of a larger team. On a regular basis, the Senior Director will:
Heavy client engagement.
C-level monthly meeting rhythm to share analytics roadmap and strategy recommendations to evolve CRM efforts of our client
Partner with internal Operating Groups to deliver integrated solutions (technology, agency services, customer experience and analytics)
Be the analytics thought leader, formulating analytics solutions to solve key business challenges
Own, delegate and deliver the analytics operations, work processes and output of a team of analysts and statisticians. Current operational programs include
o Segmentation
o Campaign analysis / analysis of performance
o Propensity / response modeling
o Time-series analysis and forecasting
o Measuring effectiveness of display advertising
o Manage project tasks, workplans / timelines and deliverables related to analytics and modeling. Common project tasks often include
Data extraction, analysis and QC using SAS, R, SQL or other languages/tools as available (include in write up)
Market, behavior and trend analysis
Model development and targeting strategies to support acquisition, growth and retention efforts
Quantitative analysis of marketing effectiveness for A/G/R programs
Manage and mentor junior/senior analysts, contributing to their technical and career development.
Manage relationships with other business units and serve as a liaison between the client and internal teams.
Create presentations and other deliverables to provide results, recommendations and advice to clients and other business partners in a clear, concise manner
Develop and/or communicate strategy to implement the objectives of the organization and guide others in linking their activities to the objectives.
Participate in creating and articulating relevant solutions for clients and in developing methods or processes for implementation.
Participate in the sales process to scope client needs and frame up approach.
SAS Enterprise Guide and SAS Enterprise Miner
Experience
o 8 or more years experience in quantitative arena and exp managing teams
o Client facing experience from an agency or consulting firm preferred
o Demonstrated ability to work in a cross-team / matrixed environment
o Ability to scale/grow a team to support multiple clients/accounts, if needed
o Strong practical knowledge and experience in using
SQL and relational database programming
o Experience in direct/database marketing, CRM and Retail Banking (lending, credit card, deposit accounts, etc.)
o Excellent written and verbal communication skills; experienced team player
o Bachelors degree in Business, Marketing, Economics, Statistics or Quantitative field required; advanced degree (MS, MBA) with quantitative emphasis is preferred
Digital analytics
Statistical Modeling
Campaign Analytics
Fractional / probabilistic attribution
Leveraging analytics to support digital marketing programs (Display, search, email, mobile, social)
Required Skills:
Experience
o 5-8 or more years experience in quantitative arena and exp managing teams
o Client facing experience from an agency or consulting firm preferred
o Demonstrated ability to work in a cross-team / matrixed environment
o Ability to scale/grow a team to support multiple clients/accounts, if needed
o Strong practical knowledge and experience in using
SQL and relational database programming
o Experience in direct/database marketing, CRM and Retail Banking (lending, credit card, deposit accounts, etc.)
o Excellent written and verbal communication skills; experienced team player
o Bachelors degree in Business, Marketing, Economics, Statistics or Quantitative field required; advanced degree (MS, MBA) with quantitative emphasis is preferred
Financial Client Exp (Retail Banking)
Digital analytics
Statistical Modeling
Campaign Analytics
Fractional / probabilistic attribution
Leveraging analytics to support digital marketing programs (Display, search, email, mobile, social)


Estimated Salary: $20 to $28 per hour based on qualifications.

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