Posted by
Posted in
Sales & Marketing
Job Code
1689364

JOB DESCRIPTION: Lead - SDR
Reporting To : Head-Sales
Reported By : SDR
Qualification :
- Bachelor's degree in English, Journalism, PR, Communication
- MBA
Work Location & Timings
- Location - Gurgaon
- Timings - 11 am to 7 pm
ROLE:
We are looking for an experienced Lead - SDR to join our Sales Enablement team. In this role you will focus on driving lead generation and closing sales deals for our Analytics and BI services in the North American market. This is a hands-on individual contributor role with team mentoring, focused on building a strong sales pipeline and enablingrevenuegrowth.
KEY RESPONSIBILITIES:
- Run multiple sales campaigns across multiple channels (email, LinkedIn, calls)
- Drive direct sales conversations for early-stage opportunities to closures
- Research target companies and identify key decision-makers as per Decision-Tree's ICP
- Assess fit through discovery conversations to understand the prospect's goals, challenges, and buying readiness
- Maintain accurate CRM records and provide regular pipeline forecasts
- Mentor and guide junior SDRs on outreach techniques, qualification frameworks, and objection handling
About DecisionTree:
DecisionTree Analytics is a niche Advanced Analytics firm primarily helping global businesses with next best action and insights. We combine data driven algorithmic analysis with AI/ML and heuristic domain expertise to provide Predictive, Pervasive and Actionable analytics that empower organizations to make better and informed decisions. Our forward looking, fast, flexible, and affordable solutions & services help clients to realize both short-term tactical and long-term strategic value. We work with clients across industries such as retail, b2b distribution, consumer goods, healthcare, BFSI, telecom, travel and hospitality.
What is in it for YOU?
- Opportunity to work in high paced professional services firm, working on cutting edge technologies
- Learning Opportunities for personal & professional development
- An open-minded culture and collaborative team of enthusiastic young technologists
- Flexible work culture with 5 Days working (1 WFH per week)
- Medical Insurance (Coverage 5 Dependants)
- Free Meals, Company happy hours
- Competitive Compensation as per industry
- We respect energetic, fun-loving, hardworking, quick learners, passionate, perfectionists, and intrinsically curious people.
- You will see shades of these characteristics in everyone who- works at DecisionTree.
In addition to the above, YOU will be a PERFECT fit if YOU:
- Are passionate about Technology, Data and working in agile environment.
- Like researching and adopting latest trends in product and project management.
- Have analytical mindset to identify problems, find solutions, and improve the product experience for users.
- Comfortable working in a small, fast-paced, challenging, and entrepreneurial environment.
IMPORTANT LINKS TO REFER BEFORE WE PROCEED AHEAD:
Website: www.decision-tree.com
LinkedIn: https://www.linkedin.com/company/decision-tree-analytics/mycompany/
NEXT STEP: We will set up a time for an initial conversation with one of our Leaders. This will be a 30-45 mins discussion to know more about your background, domain knowledge and interests, to share more about DecisionTree and to answer any initial questions you have.
ESSENTIAL SKILLS:
- 7 plus years of inside sales experience experience (ideally in direct sales in professional services/analytics/consulting)
- Worked for North American market
- Excellent communication skills (spoken + written)
- Ability to handle rejections and high-volume outreach
- Prior experience working in a target-driven sales environment
- Bachelor's degree (preferred: English, Mass Communication, PR, Journalism)
- Master's in Business Administration
- Willing to relocate to Gurgaon, if not already based here
- Any managerial experience is a bonus
CORE COMPETENCIES REQUIRED:
- Communication
- Adaptability
- Planning & Execution
- Collaboration
- Continual Learning
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Posted by
Posted in
Sales & Marketing
Job Code
1689364