Client Success Analyst (Data Analyst) at Bandra

2Soft Solutions Pvt Ltd
  • Post Date: 3 April 2021
  • Apply Before: 31 July 2021
  • Applications 0
  • Views 93
Job Overview

2Soft Solutions Pvt Ltd is one of the foremost IT Recruitment Consultants with 11 years of experience based in Mumbai with services to PAN India. We has efficiency & experience in providing HR Consulting Services, IT Recruitment Services, and Staffing Services to our customers. We are hiring for one of our customer for below position. Kindly apply for the same.

Position: Client Success Analyst (Data Analyst)
Experience: 3 to 6 Years
Location: Bandra (West), Mumbai
Days of working: 5 days a week.
Office Time: 11:00 AM to 8:00 PM
Mode of interview: 1st Telephonic HR round with VP Operations.

Job Description:

  • Fluent in English speaking must.
  • Applying your analytical genius to work with large amounts of data; having deep data mugging ability to prepare data from Excel, Advanced user of Excel for data management
  • Adequate knowledge of data collection methods polls focus groups, surveys, etc
  • Strong proficiency in math, web analytics, and business research tools.
  • Good to have experience in the FMCG industry, market research, data, and measurement.
  • We are currently looking for a person who is highly motivated and eager to learn and succeed for our Client Service Analyst position.
  • In this role, will be a part of the Client Services team and will have an opportunity to have an accelerated career path at the confluence of data, technology, and marketing.
  • The candidate will be working directly with senior management, who are industry veterans and will quickly learn market research video analytics, client consulting, report writing, and storytelling.
  • Advanced proficiency with MS Office
  • Expand upon the existing Customer Success dashboards and partner with the Customer Success team to improve processes and tracking mechanisms across all segments of the business.
  • Develop and improve reporting processes to gather deeper insights on customer renewal probability.
  • Collect, analyze, and evaluate data to determine which attributes drive renewals.
  • Partner cross-functionally to refine the existing Customer Health Score to more accurately identify customers at risk of non-renewal.
  • Perform analysis to make recommendations on future customer purchasing trends and Customer Success operational support.

If you are interested, kindly apply along with following details.

Total Exp:
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