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 sizes (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 such as regression analysis (both linear and non- linear), cluster analysis, CHAID, factor analysis/principal component analysis, time series, survival models, experimental designs using SAS and other statistical software

- Provide proficient problem solving and data analysis, derived from modeling and statistical experience

- Document and articulate steps are taken in 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)

- Effectively manage time and resources in order to deliver on time / correctly on several (2-3) concurrent projects.

Role Description:

- Act as a statistical or modeling mentor to Statisticians

- Perform two tasks related to the role of Manager, Statistics during the year

What you'll need :

- Bachelor's degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Marketing Analytics) or significant relevant coursework.

- Minimum of 3 years of related experience.

- Proficiency with various statistical methodologies such as regression analysis (both linear and non-linear), cluster analysis, CHAID, factor analysis/principal component analysis, time series, survival models, experimental designs using SAS and other statistical software.

- 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

- Working knowledge of Hadoop and other big data technologies

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