Consultant- CRM Analytics- San Francisco, US (4-6 Years of Experience)

Last Updated : 02 Feb, 2017
< 1 min read

Experience : 4 – 6 years
Requirements :
Task Info :

Position Summary:

We are looking for Consultant with hands on experience in predictive analytics and SAS to be based out of our San Francisco office.

Key Responsibilities:

  • Being a part of the team working on marketing analytics / CRM projects with global clients.
  • Applying analytical tools and techniques and effectively communicating the results to various internal/external stakeholders.
  • Understand the nature, structure & quality of data, identify data issues and suggest solutions.
  • Execute planned analysis to meet the project objectives.
  • Ensure on-time & error free delivery, proactively escalate issues when required.
  • Technical
    • Data Management & Manipulation
    • Exploratory Analysis & Making Presentations
    • Using Tools like basic Excel, SAS, R, SPSS etc
    • Statistical Analysis & Design
  • Quality/Process Compliance & Improvement Initiatives
    • Having a complete understanding & awareness of the various internal processes, ensuring compliance to the same and suggesting process improvement initiatives
  • Client Servicing
    • Executing tasks around client servicing like proactively responding to client requests, seeking feedback etc
    • Observing seniors and understanding how to deal with client requests effectively.
  • Communication
    • Effectively communicating with all the internal and external stakeholders, keeping them updated on technical findings, issues or any other required project related development

Qualifications and Skills:

  • 48 Months (Minimum) experience in a quantitative role.
  • Experience in the area of contributing to Analysis by building Logistic Regression Models / Segmentation Skills
  • Bachelors degree (or equivalent) in a Numerical Course e.g. Statistics, Mathematics, Physics, Economics, Engineering, Computer Science, IT or equivalent
  • Masters qualification in statistics / engineering or similar (desired)
  • Strong statistical knowledge, SAS skills (data manipulation, macros, statistical procedures, etc.)

College Preference : no-bar
Min Qualification : ug
Skills : Data analytics, excel, logistic regression, r, sas, spss, statistical techniques
Location : San Francisco
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