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Business Development
Posted by Chayanika Chetia

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Locations

Bengaluru (Bangalore)

Experience

0 - 1 years

Salary

{{100000 / ('' == 'MONTH' ? 12 : 100000) | number}} - {{300000 / ('' == 'MONTH' ? 12 : 100000) | number}} {{'' == 'MONTH' ? '/mo' : 'lpa'}}

Skills

Business Development
Sales
Marketing

Job description

About The Internship: Selected intern's day-to-day responsibilities include: -Market scoping and lead generation for driving demand -Formulate and execute sales strategies to generate leads from relevant channels -Pursue potential leads through various channels such as calls/emails and follow through to a successful conversion -Handle inbound, unsolicited prospect communication and convert them into leads -Collaborate with product and marketing teams to ensure that client requirements are met -Build strong processes for tracking, measuring and reporting sales conversions -Network and maintain relationships with current clients and identify new prospects within the current segments. -Handle inbound, unsolicited prospect communication and convert them into leads -Possess a strong understanding of our products, our competition in the industry and positioning Internship Duration- 3 to 6 months

About Hevo DATA

At Hevo, we are building the future of data analytics. There has been a fundamental change in the amount of data companies are generating these days. More and more users in an organization are looking at data now. Data is no more a second-class citizen and companies are seeing data as a competitive advantage rather than as a geek’s obsession. We see this change and we are here change the way companies analyze their data. We believe that users should be able to talk to data rather than looking at a barrage of reports and dashboards. More importantly, users should be only looking at data that matters and not everything that is thrown at them. Hevo data analytics platform is built on three fundamental transformational pieces of technology: A real-time data integration engine to connect and collect a variety of data from within an organization A petabyte-scale data warehouse and a hyper parallel processing engine to deliver insights A conversation engine that will use the power of NLP, ML, and AI to learn user’s intent and surface insights from data

Founded

2017

Type

Product

Size

6-50 employees

Stage

Raised funding
View company

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