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SR. CONSUMER DATA ANALYST

Roles & Responsibilities

  • Proficiency in SQL with experience writing custom queries and performing quality assurance checks
  • Knowledge of statistical modeling, clustering, and test design to inform client objectives
  • Experience in data mining, marketing program performance analysis, and CRM program creation
  • Strong client-facing communication and presentation skills, with ability to translate business goals into data-driven recommendations

Requirements:

  • Oversee all analytical processes from a client perspective, including modeling, data mining, marketing program performance, and CRM program creation
  • Identify, analyze, and interpret trends, patterns, and opportunities for growth through analysis of complex data sets
  • Work directly with client to understand business goals and make strategic recommendations on how data/analytics can be leveraged to help achieve stated goals
  • Create best-practice client reports and presentations based on data mining, analysis, and visualization; present analytical findings and actionable insights at internal and external meetings

Job description

JOB SUMMARY

This is a contract role responsible for guiding all analytical processes for a group of clients; will work in tandem with account management team to create targeted marketing strategies; and present analytical findings to clients. We offer 16 days of PTO as well as 16 holidays.

English language skills need to be at least at a conversational level. Please submit your resume in English to be considered for the position. Make sure to check your Spam folder frequently!

JOB RESPONSIBILITIES include the following. Other duties may be assigned.

  • Oversee all analytical processes from a client perspective, including modeling, data mining, marketing program performance, and CRM program creation
  • Identify, analyze, and interpret trends, patterns, and opportunities for growth through analysis of complex data sets
  • Work directly with client to understand business goals and make strategic recommendations on how data/analytics can be leveraged to help achieve stated goals
  • Create best-practice client reports and presentations based on data mining, analysis, and visualization; present analytical findings and actionable insights at internal and external meetings
  • Understand statistical modeling, clustering, and test design and utilize understanding to help achieve client objectives
  • Create segmentation of customers based on various data points, including transactional, demographic, psychographic, or other behavioral data
  • Utilize SQL for gathering information for compiling results, including writing custom queries and performing quality assurance checks

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