Manage inbound and outbound customer calls in a timely manner.
Ability to understand the customers needs and articulate a solution
Research every issue and provide solutions to them
Ability to explain features and benefits without using scripts
Build strong relationships with customers
Meet qualitative and quantitative targets
Work in brick and mortar call center
Requirement-
Previous experience in a call center customer support, sales and or retention
Previous experience with US market
Strong phone and verbal communication skills
Excellent listener and time management skills
Accent Neutral
Additional Advantage
Understanding of USA Credit Bureau, Credit Report and Credit Score culture
Customer Success Associate
Industry Type-BPO / Call Centre
Functional Area-Customer Success, Service & Operations
Employment Type-Full Time, Permanent

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Industry Type: IT Services & Consulting
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Skill set: ASP.Net, Web, MySQL, C+, HTML, ASP.Net Angular(good to have),
Job Description as mentioned below: ·
MS SQL; Database design,
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Views, triggers, and advanced queries ·
C# version 4 or higher. ·
Visual Studio 2013 or later. ·
ASP.NET web forms knowledge ·
Advanced JQuery/JavaScript ·
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As a Data Science Lead, you will be working on creating industry first analytical and propensity models to
help discover the information hidden in vast amounts of data, and make smarter decisions to deliver
even better customer experience. Your primary focus will be in applying data mining techniques, doing
statistical analysis, and building high quality prediction systems integrated with our products.
➢ Working with business and leadership teams to gathering and analyse structured and unstructured data
➢ Data mining using state-of-the-art methods
➢ Enhancing data collection procedures to include information that is relevant for building analytic
systems
➢ Processing, cleansing, and verifying the integrity of data used for analysis
➢ Doing ad-hoc analysis and presenting results in a clear manner
➢ Creating automated anomaly detection systems and constant tracking of its performance
➢ Creation and evolution of an efficient BI pipeline into a multi-faceted pipeline to support various
modelling needs.
What we are looking for:
➢ 5-8 years of relevant experience, preferably in financial services industry.
➢ A bachelors / master’s degree in the field of Statistics, Mathematics, Computer Science or
Management from Tier 1 Institutes.
➢ Data warehousing experience will be a plus.
➢ Good conceptual understanding of statistics and probability.
➢ Experience in developing dashboards and reports using BI tools.

