Job Description

Who we are looking for At Epsilon, our people use real human insights to find solutions that empower some of the biggest brands in the world. Our team is now growing and we are on the lookout for talented individuals who use descript

Who we are looking for At Epsilon, our people use real human insights to find solutions that empower some of the biggest brands in the world. Our team is now growing and we are on the lookout for talented individuals who use descriptive, predictive and prescriptive analytics to impact consumer behavior every day. So, are you someone who enjoys leading conversations with influential stakeholders to help clients understand the value of their investments Then you could be exactly who we are looking for. Apply today and be part of a creative, innovative and talented team who constantly share insights, solve problems and create the remarkable. What you'll do The Analytic Consulting Group partners with both internal and external clients, and data providers, leveraging predictive analytics and advanced statistical techniques to drive strategic thought and effective decision making. The Senior Statistician is responsible for applying and interpreting various statistical and data analysis techniques in support of a variety of analytic solutions. Roles & Responsibilities: Provide quality, statistically valid analysis and related output Collaborate with cross-functional internal resources Master the desktop and UNIX/WINDOWS toolset (SAS, SAS ODS, R, Excel, PowerPoint, Word) to create content for evaluating statistical analyses such as tables, reports, graphs, etc. Access and extract data from a variety of sources of all s (including client marketing databases) via SAS Access, SQL, etc. Manipulate raw data into analysis-ready datasets using SAS/SQL Proficiently apply and interpret various analytic techniques Provide proficient problem solving and data analysis, derived from modeling and statistical experience. Document and articulate steps taken in an analysis to project managers Answer questions about data sets and analyses Take a proactive, independent role in analysis design, project planning and execution QC data and results produced by data analyst, statistician, other project team members Present statistical results to both technical and non-technical audience in a clear manner Master all the group's policies and procedures for programming, project documentation, and system management Become proficient with the primary analyses delivered by ACG (found in the Insider's Guide) Epsilon data assets the SAS macro library Effectively manage time and resources in order to deliver on time / correctly on several (2-3) concurrent projects Act as a statistical or modeling mentor to Statisticians Perform two tasks related to the role of Manager, Statistics during the year. Qualifications Bachelor's degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Marketing Analytics) or significant relevant coursework Minimum of 8 years of related experience Proficient with toolsets (SAS, SAS ODS, SAS Access, SQL, Unix, MS Office) and large datasets, in addition to SAS/SQL Knowledge of R and Python is desirable Strong in verbal and written communication Collaborate with internal/external stakeholders to manage data logistics - including data specifications, transfers, structures, and rules Provide proficient problem solving and data analysis, derived from programming and marketing/business experience Provide quality (QA/QC) analysis and related output Display knowledge of Various statistical offerings and methods (CHAID, logistic/multiple regression, cluster analysis, factor analysis) The SAS macro library Take a proactive, independent role in project design, planning & execution Effectively manage time and resources in order to deliver on time / correctly on multiple (5+) concurrent projects Serve as project manager on analyses of significant scope, complexity / delegate tasks without requiring manager's approval / act as mentor to junior analysts Prepare basic report content (Word, Excel, PowerPoint) including writing covering methodology and findings Participate in presentation of results to key internal and external stakeholders, effectively communicating the key findings and recommendations Responsible for providing technical supervision, coaching, mentoring for 4-5 Sr. Data Analyst/ Data Analysts Demonstrated proficiency in SAS/SQL programming Familiarity and basic knowledge of open source statistical programs like R, Python and KNime Strong analytic thought process and ability to interpret findings Acute attention to detail (QA/QC) Proficiency in MS Office including PowerPoint, Word, Excel and Outlook. Ability to work on multiple assignments concurrently. Excellent verbal and written communication skills. Highly motivated and collaborative team player with strong interpersonal skills Effective organization and time management skills Desirable Qualifications: Advanced degree (Master's/PhD) in Statistics, Economics or other quantitative discipline Database marketing experience/knowledge