Associate Consultant - Reskilling at Draup

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 & HR leaders plan, hire & skill your future-ready workforce and Draup for Sales empowers sales teams and leaders to strategically plan, target, and engage accounts, driving growth and creating future-ready sales opportunities. We are trailblazers pushing the boundaries of enterprise decision-making. Our breakthrough ideas are helping companies unlock transformational opportunities at every turn.

Overview

Our mission is to elevate businesses through data-driven insights and innovation. We empower our customers through unwavering commitment to their success, making their triumph our sole focus. We are building a future where businesses thrive with data intelligence, innovation, and empowered teams. At Draup, we envision a world transformed by strategic growth, collaboration, and unparalleled success.

Below are our Core Values:

Why work with Draup

Join Draup for a dynamic culture, innovation-driven environment amongst some of the brightest professionals in the SaaS industry. Leverage the growth opportunities, great collaborative atmosphere, and Draup’s commitment to empowering your professional journey.

We have been recognized as a Great Place To Work for the past 3 years. You’ll feel welcome even before you start your first day with us through our personalized onboarding program. We welcome you to take the first step to joining our team by writing to us and we look forward to seeing you soon.

What the Associate Consultant will do

Draup is seeking a passionate Associate Consultant to join our dynamic team. They will support and deliver Talent Intelligence projects for clients by analyzing large datasets, generating accurate market and talent insights, and producing client-ready outputs. The role is delivery-focused, working closely with Consultants and Delivery Managers, with limited exposure to product improvement through the outputs generated.

The primary expectation is the ability to interpret numbers, identify patterns, and structure outputs in a client-ready manner.

Market and secondary research skills are required to validate and contextualize findings, but the core of the role remains analyticsdriven delivery execution.

The Associate Consultant will support end-to-end delivery of Talent Intelligence engagements. This is a non-technical role, but it requires a strong analytical mindset and comfort working with large datasets.

Responsibilities as an Associate Consultant

Support end-to-end delivery of Talent Intelligence projects under the guidance of Consultants and Delivery Managers.
Work on large datasets to answer foundational talent and market questions such as:
- Median base pay for a role in a specific location (example: Software Engineer in Bangalore).
- Total workforce size for a role in a region (example: Senior Data Scientists in the Bay Area).
Build analysis-ready spreadsheets and structured datasets using defined templates and methodologies.
Produce Talent Intelligence outputs across job roles, job families, job occupations, skills, and locations, including basic cost and workforce metrics.
Perform data validation, sanity checks, and QA reviews before final delivery.
Write clear summaries that translate analysis into insights and support decision-making.
Conduct secondary research to validate, triangulate, and add context to outputs when needed.
Document sources, assumptions, and methodology clearly for every deliverable.
Share delivery learnings and data observations that can feed into platform and model improvements over time.
Coordinate effectively with internal teams and follow established delivery processes.

Required Skills

Strong analytical mindset is mandatory, including comfort working with large datasets.
Ability to interpret numbers, spot trends, and draw structured conclusions.
Strong proficiency in Excel is mandatory (formulas, pivots, data cleaning, structured tables).
Clear written and verbal communication skills.
Market research and secondary research skills are required to validate and contextualize findings.
SQL or Python knowledge is a plus, not mandatory.
Comfortable using MS Office and digital collaboration tools.
Ownership and accountability in delivery execution.
Detail-oriented, structured, and consistent.
Collaborative team player with willingness to learn.
Flexible and responsive to feedback.

What we offer to our Team

Generous Time Off: Our leadership believes in taking the time you need when you need it through our PTO Policy.
Health Care Benefits + Provident Fund Participation: You might think these are table stakes, but we know these matter to you.
More Than Just Core Values: Our values are fundamental in how we attract, train, and retain top talent.
Real Career Growth Opportunities: We love to promote from within with a majority of our open roles filled through internal promotions.
Mentorship Program: We support a champion culture and growth mindset by pairing you with experienced, talented leaders to help you grow personally and professionally.
Internal Networking: Build relationships, network, collaborate, and stay connected with colleagues internally through various work-life initiatives.
Continuous Learning Opportunities: Own your development with your own 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 for all our employees by extending a culture of diversity, equity, inclusion, and belonging into the very fabric of our organization. We embrace differences and diversity of identity, experience, and thought, and actively strive for inclusive behaviors across our company.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application and/or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Please contact us to request accommodation.

Thank you for your interest

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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.

1

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.

2

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.

3

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. Learn more

4

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.

5

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.

6

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.

Associate Consultant - Reskilling