Lead generation Jobs in Bangalore - Noesys Software Pvt. Ltd.
Job Description
Job Summary:
· Proficient in MS Office tools like Excel, Word and PowerPoint.
· Should have very strong written and verbal communication skills and strong internet research skills.
· Confident on cold calling and cold visits with clear verbal communication, good etiquettes and ability to break the ice and get appointments.
· Displays a sense of urgency. Focuses on specific goals. Follows through on commitments. Demonstrates a sense of personal accountability for achieving results.
· Long term player, understands sales cycles, works towards building and nurturing client relationships.
· Understands technology, follows the latest trends, aware of Analytics, RPA, Machine Learning, AI - will help to understand the product being sold.
· Easily adjusts to multiple demands, shifting work priorities, ambiguity, adversity, and change. Is resilient and calm under pressure. Learns and applies new concepts quickly and effectively.
·
For experienced resources:
1. Experience of working on online databases.
2. Expert in working on LinkedIn sales navigator
and other online social media tools.
3 The clear understanding of market research basics,
including Primary & Secondary Research.
Responsibilities:
· Handle lead generation and database research-related requirements for customers located in India, US, Australia.
· Conducting secondary research to identify potential B2B prospects with the help of various online tools, directories and websites
· Making cold calls to key decision-makers in global organisations
· Setting up appointments with prospects.
· Making outbound visits to prospect locations to make connects.
· Qualify prospects by asking relevant questions to understand fit.
Job Particulars
About Company
Noesys Software is a technology company focused on data analytics. Our flagship product Infoveave is a data automation and decision intelligence solution enabling business to be data driven.
Infoveave is built on a strong foundation of the latest tech stack, using data visualisation, multi dimension analysis, natural language processing and machine learning.