JOB RESPONSIBILITIES:
Extract data from various sources.
Design and program SAS/SQL code to prepare data for analysis and modeling.
Document existing and new SAS and SQL code processes.
Utilize database knowledge, programming skills and data manipulation / query
tools to produce actionable reports (e.g. list counts, ad hoc queries,
campaign summary reports, etc.) to meet client needs.
Conducts data and analytically-intensive tasks necessary to generate
analytic insights and recommendations to enable continuous, measurable
improvement of client’s marketing campaigns.
Follow instruction, work independently, and manage both short and long-term
projects through to completion.
Summarize and communicate analytic findings, insights and recommendations
via summary documents and presentations to support management decision-
making.
Interacts with: Statisticians, Managers, and Directors of modeling or other
teams.
QUALIFICATIONS REQUIRED:
Master degree in Statistics, Economics, Industrial Engineering or other
quantitative field.
2-5 years work experience in data analysis.
Strong background in data creation, manipulation and analysis (including
experience with transactional data).
Familiar with generalized linear model procedures.
Knowledge of different multivariate statistical techniques (Discriminant
analysis, Logistic regression, CHAID, Cluster analysis, Factor analysis, etc
.).
Significant demonstrated experience with data set creation and data
manipulation (sorting, merging, variable creation).
Experiential knowledge of Direct Marketing techniques for: testing and
evaluation of campaign elements, tracking and measurement of campaign
metrics, and analysis and reporting of campaign metrics.
Proficiency in MS Office suite, Project and Access.
SAS (2+ years required specifically strong SAS programming skills – wide
range of experience with Data Steps, Procs Stats, Macros).
Excellent written and verbal communication skills.
Must be able to juggle multiple projects simultaneously with strong
attention to detail.
Must be able to work additional hours as needed.
