Academic Consultant Jobs in Mumbai,Navi Mumbai - Toppr.com
Job Description
Job Designation: Academic Consultant
Desired Skills
- Graduate with 0- 5 yrs. of B2C Sales/ Field Sales Experience.
- Good Communication skills.
- Ability to plan and execute.
- Ability to persuade and negotiate.
- Ability to work under stress.
- Fast-learner, keen on details, and self-motivated.
Roles & Responsibilities :
- Advise student/ parents for their learning needs through structured Counselling Sessions
- Fix appointments and conduct home demo sessions on daily basis including follow up sessions
- Understand Customer profile & problems to explain implication of ineffective learning methods
- Create the need for Smart Learning and advise student-parent to buy Toppr Subscription as solution
- Handle Objections and Price Negotiation to generate Sales Revenue
- Learn/ Upgrade one’s own Product Knowledge and Sales Skills to achieve and exceed growing Sales target(s)
- Laptop (INR 800 as reimbursement) + Two-wheeler (Petrol Allowance given) will be given.
Compensation :
Fixed CTC: 3-6 LPA + 20% Incentives + Annual Bonus-20% of Fixed CTC
Should be fluent in Marathi,Hindi and English.
Job Particulars
Role counsellor
Who can apply Freshers and Experienced (0 to 3 Years )
Hiring Process Walk - In, Face to Face Interview
Employment TypeFull Time
Job Id670722
Job Category MBA , Walkin , Teaching , BSc/BCA/BBM , Dream Jobs/5 lpa , Sales and Marketing
Locality Address
State Maharashtra
Country India
About Company
Toppr is India's leading after-school learning app on a mission to make learning personalised. We are an extremely passionate team of engineers, educators and designers making consistent strides in product innovation to enhance user experience. We cater to the individual learning styles of students and provide the widest K12 syllabus coverage with 1 million course combinations. We help students prepare for various school, board, and competitive exams. Abled with artificial intelligence, machine learning, and big data, we study student behaviour and create adaptive learning paths with infinite combinations. This ensures that every student has a unique and personalised learning experience.
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