Key Responsibilities
Lead Generation & Outreach
· Contact and develop relationships with potential customers through email marketing, cold calling, and LinkedIn outreach.
· Execute email campaigns targeting prospects to generate leads and create business opportunities.
· Mine data and extract information of C-level executives from various online sources and tools.
Sales Process Management
· Follow up on leads and respond to sales inquiries from existing and potential customers as per guidelines.
· Assist senior staff in generating and following up on leads.
· Convince clients, schedule appointments, and manage the sales pipeline.
· Track sales efforts and monitor results to ensure alignment with targets.
Customer Relationship Management
· Liaise between customers and the company to provide up-to-date status on service, pricing, and new product releases.
· Collect customer feedback and conduct market research to inform business strategy and product development.
· Maintain CRM systems to manage lead generation, track interactions, and store customer information.
Market & Competitor Analysis
· Stay informed about the latest products, market trends, and competitors to provide insights for business strategy.
· Increase business opportunities through various routes to market.
Required Skills & Qualifications
· Strong communication and interpersonal skills.
· Proficient in email marketing, cold calling, and LinkedIn outreach.
· Experience in data mining and CRM systems.
· Ability to prepare detailed reports and commercial proposals.
· Strong analytical and organizational skills.
· Ability to work independently and as part of a team.
· Understanding of market research and customer feedback processes.
Performance Metrics
· Number of new leads generated.
· Conversion rate of leads to appointments and sales.
· Quality and timeliness of proposals and reports.
· Customer satisfaction and feedback.
· Sales targets and revenue growth.
About Appstean Infotech
About
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Company Description
Appectual IT Solutions is a software development company based in Mumbai, specializing in creating usable, functional, and intuitive websites and apps. They are known for delivering impactful solutions powered by the latest technologies across various industries. Appectual has a track record of working with reputable brands like L'oreal, Reebok, Wockhardt, Apar Lubricants, and Birla, and is committed to finding the perfect solutions for their clients' needs.
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Must-Have Skills:
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Good conversion rate history
Relevant Experience: 6 Months- 2 Yrs
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Qualifications
New Business Development and Lead Generation skills
Strong business acumen and communication skills
Account Management expertise
Prior experience in sales or business development
Knowledge of the IT industry and software solutions
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Company details: We are a team of Enterprise Transformation Experts who deliver radically transforming products, solutions, and consultation services to businesses of any size. Our exceptional team of diverse and passionate individuals is united by a common mission to democratize the transformative power of AI.
Website: Blue Hex Software – AI | CRM | CXM & DATA ANALYTICS
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What you need to have:- Graduate with experience in gold loan mandatory
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Location
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Timings:
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Position:
- Full time/Direct
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REQUIREMENT:
- Previous experience of working in large scale data engineering
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- Previous experience of architecting and designing backend for large scale data processing.
- Familiarity and experience of working in different technologies related to data engineering – different database technologies, Hadoop, spark, storm, hive etc.
- Hands-on and have the ability to contribute a key portion of data engineering backend.
- Self-inspired and motivated to drive for exceptional results.
- Familiarity and experience working with different stages of data engineering – data acquisition, data refining, large scale data processing, efficient data storage for business analysis.
- Familiarity and experience working with different DB technologies and how to scale them.
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- Build data engineering workflow for large scale data processing.
- Discover opportunities in data acquisition.
- Bring industry best practices for data engineering workflow.
- Develop data set processes for data modelling, mining and production.
- Take additional tech responsibilities for driving an initiative to completion
- Recommend ways to improve data reliability, efficiency and quality
- Goes out of their way to reduce complexity.
- Humble and outgoing - engineering cheerleaders.