Statistical Analyst/Data Mining Analyst – Columbus, OH (Retail Branch Planning) – Columbus, OH recruitment
Data Mining Analyst - COLUMBUS, OH (location required)
This position will be within Branch Planning, a team within Chase's Retail Distribution Network group that focuses primarily on the support of our Retail Real Estate team in their ongoing work with Chase's retail branch network.Preferred candidate will have a passion for data and how that information contributes to the analytical "stories" we are tasked with telling.
They will have expertise in effective presentation and visualization of key data and findings.
This position will interface directly with the data mining team lead on a regular basis, and will also be called upon to interact with senior executives (as clients) as needed.
The employee will provide principal analytical project support to senior analysts/statisticians including ad-hoc analysis and predictive modeling.
The employee will have opportunity to assist in leading analytical projects, delivering each aspect of the project from start to finish including presentation of results.The desired candidate would have a highly confident, analytically passionate, and outgoing disposition.
They would thrive in a high pressure and high expectation environment.
The employee would understand the cost- benefit relationship between solution sophistication and practicality and strive to produce the fastest and most accurate results.
The candidate must be capable of working with team members, clients, and senior executives, effectively communicating with them at their level of analytical/technical understanding.
Qualifications
Required SkillsExperience with commonly used statistical inference and predictive models such as Generalized Linear Regression and Logistic RegressionCritical thinking and data analysis skillsStrong oral and interpersonal communication skillsStatistical programming experience with the ability to learn to build customized code in SAS and SQLProficient in Microsoft Office Suite
Preferred SkillsFamiliarity with UNIX environment, enterprise data systems and databases (DB2 or Oracle)Experience with R, Microsoft Access and SQL server softwareSAS Base and Advanced CertificationEducational RequirementBachelor or Master's degree in a quantitative field such as: Statistics, Biostatistics, Applied Mathematics, Econometrics, MBA (with quantitative focus), Computing and Information Theory, Operations Research, Industrial / Electrical Engineering, or Marketing.
Professional BackgroundFinancial service or Retail industry experience desired, but we are open to evaluating candidates from any industry or academic institution, recent top graduates, and soon-to-graduate top graduates with analytics background.