Location: Bangalore, India | Type: Full Time | Experience: 2-5 Years

Who We Are:
Draup is an enterprise decision-making platform for global CXO leaders in sales and talent domains. Draup for Talent helps talent management teams and HR leaders plan, hire, and skill your future-ready workforce. Draup for Sales empowers sales teams and leaders to strategically plan, target, and engage accounts, driving growth and creating future-ready sales opportunities.

Our Core Values: Inspire Imagination & Creativity | Trust & Empowerment | Love for Knowledge | Courage & Passion | You Can Be You | Customer Centric | Unwavering Integrity

What Our Consultants Will Do:
Draup is seeking a passionate Consultant to join our dynamic team. In this dual-role position, you will work closely with clients, delivering in-depth analyses of labor market data, including talent supply, demand, and cost. You will also collaborate with cross-functional teams to optimize the functionality of our cutting-edge talent intelligence platform.

This role offers a blend of client interaction and internal collaboration, providing exposure to groundbreaking work in talent intelligence. You'll partner with experts in product development, machine learning, and mathematics, gaining valuable insights into how advanced methodologies shape the future of workforce analytics and power our SaaS platform for talent.

While the role does not require a technical background, proficiency in Microsoft Excel and strong numerical aptitude are essential for conducting precise data analyses and generating actionable insights.

You will interact with Fortune 500 clients through emails and meetings to understand their unique talent intelligence requirements. Your responsibilities will include deciphering and translating client needs into actionable deliverables while ensuring alignment with the product's capabilities and internal data constraints. You'll serve as a bridge between the client and internal teams, articulating business challenges, prioritizing requests, and setting realistic expectations.

Responsibilities:
Talent Platform Process Optimization:
- Enhance the efficiency and functionality of Draup's SaaS talent intelligence platform by ensuring the accuracy of talent intelligence data.
- Collaborate with product, machine learning, and data science teams to deliver platform data improvement and capabilities projects.
- Analyze labor market data to identify trends and provide insights across various industries.
- Drive taxonomy enrichment and ensure the platform reflects evolving job market demands and emerging roles.
- Stay updated on global labor market trends to ensure platform relevance.

Customer Project Delivery:
- Oversee end-to-end delivery of labor market data projects for Fortune 500 clients, focusing on talent supply, demand, and cost analytics.
- Stay informed about the product's functionalities, data sources, and limitations to manage expectations proactively.
- Collaborate with clients to gather requirements, resolve data discrepancies, and provide actionable labor market insights.
- Perform job role-mapping, location-based analysis, and talent availability assessments, including Tier 2 and Tier 3 markets.
- Build strong client relationships through regular communication and a solution-oriented approach.

Recommended Experience:
- Expertise in talent analytics, labor market trends, and talent intelligence, with advanced proficiency in Excel (automation, data modeling, and pivot tables).
- Strong analytical, problem-solving, and data-driven skills, with the ability to manage multiple projects and meet deadlines.
- Excellent communication skills, capable of engaging clients and stakeholders, with a solid understanding of salary benchmarking and workforce planning.

What We Offer:
- Generous Time Off: PTO policy designed around your needs.
- Health Care Benefits + Provident Fund Participation.
- Real Career Growth Opportunities: We love to promote from within.
- Mentorship Program: Paired with experienced leaders to help you grow personally and professionally.
- Internal Networking: Build relationships and stay connected through various work-life initiatives.
- Continuous Learning Opportunities: Coursera license and hybrid workshops with leadership coaches.

We are proud to be an Equal Opportunity Employer. We are dedicated to creating an exceptional work environment by extending a culture of diversity, equity, inclusion, and belonging. We will ensure that individuals with disabilities are provided reasonable accommodation throughout the hiring process.

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Data Trust & Methodology at Draup

Draup uses a structured methodology to reduce inaccuracies and prevent misleading information, with a focus on transparency and responsible data practices.

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Data Transparency and Coverage

Draup sources data from diverse, vetted global inputs including public datasets, labor information, professional ecosystems, and industry research. Coverage varies by region and role, and we supplement limited areas with alternative sources and analyst-led modeling.

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Profiles Behind the Numbers

All aggregate insights related to buyers, roles, skills, and locations are grounded in structured, anonymized human and organizational profiles rather than pure extrapolation. This ensures context, reliability, and protection of personal identities.

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Data Hygiene and Integrity

We maintain a clean, accurate data environment by removing duplicates, outdated entities, and invalid records. Automated checks powered by ML models and analyst reviews work together to ensure clarity and accuracy for every entity, such as buyer, role, skill, technology, or company.

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AI Governance and Bias Mitigation

Our governance framework combines automated evaluations with Human-in-the-Loop reviews. We use statistical checks, audits, and cross-source comparisons to reduce demographic and structural bias before insights reach the platform.

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Compensation Guardrails

Compensation insights use blended, directional inputs such as aggregated ranges, benchmarks, modeled distributions, and market signals. We distinguish clearly between modeled and reported data and apply guardrails to prevent over-interpretation.

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Hourly and Frontline Workforce Coverage

For hourly, frontline, and blue-collar roles where digital visibility is limited, we incorporate government datasets, localized labor information, and specialized partners to build a more complete and balanced view of workforce supply and demand.

Consultant - Braindesk Talent

Data Trust & Methodology at Draup

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Ethical AI, Backed by Global Standards

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