
Inside sales executive
Job Description:
- Minimum 2+ years in B2B lead generation or inside sales role selling IT Hardware / Software products
- Generate database of qualified prospects from various web directories, social networks and search engines.
- Knowledge of Professional Social Networking Sites like LinkedIn.
- Cold calling in to prospect accounts to generate new business
- Strong phone presence and experience calling 40-60 calls per day.
- Responsible for creating new opportunities consistently & meeting opportunity goals.
- Create daily / weekly / monthly calling plans to make sure they have a steady pipeline for appointments
- Ability to build rapport with and sell to C-Level executives.
- Be self-motivated, confident, energetic, and creative.
- Go getter and great attitude.
skills
Sales Executive Activities
Cold Calling
Inside Sales
Social Networking
Communication Skills
New Business

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This role requires a person to support business charters & accompanying products by aligning with the Analytics
Manager’s vision, understanding tactical requirements and helping in successful execution. Split would be approx.
70% management + 30% individual contributor. Responsibilities include
Project Management
- Understand business needs and objectives.
- Refine use cases and plan iterations and deliverables - able to pivot as required.
- Estimate efforts and conduct regular task updates to ensure timeline adherence.
- Set and manage stakeholder expectations as required
Quality Execution
- Help BA and SBA resources with requirement gathering and final presentations.
- Resolve blockers regarding technical challenges and decision-making.
- Check final deliverables for correctness and review codes, along with Manager.
KPIs and metrics
- Orchestrate metrics building, maintenance, and performance monitoring.
- Owns and manages data models, data sources, and data definition repo.
- Makes low-level design choices during execution.
Team Nurturing
- Help Analytics Manager during regular one-on-ones + check-ins + recruitment.
- Provide technical guidance whenever required.
- Improve benchmarking and decision-making skills at execution-level.
- Train and get new resources up-to-speed.
- Knowledge building (methodologies) to better position the team for complex problems.
Communication
- Upstream to document and discuss execution challenges, process inefficiencies, and feedback loops.
- Downstream and parallel for context-building, mentoring, stakeholder management.
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- Warehouse : Amazon Redshift
- ETL : Lots of Python + custom-made
- Business Intelligence / Visualization : Metabase + Python/R libraries (location data)
- Deployment pipeline : Docker, Git, Jenkins, AWS Lambda
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