Hiring: Data Researcher – Compute Forecast

Location: Remote (Mumbai Only)

Employment Type: Full-Time

Experience Required: 1–3 Years (Preferred)

CTC: ₹3.4 – ₹3.6 LPA (Non-negotiable)

Industry Focus: Data Centers | AI Infrastructure | Neo Clouds | Sustainability | Power & Energy Grid | Liquid & Immersion Cooling

About Compute Forecast

Compute Forecast is a global intelligence platform focused on AI, cloud computing, data centers, and digital infrastructure. We deliver data-driven insights, research reports, industry intelligence, and market-focused platforms that help enterprises make strategic decisions in the rapidly evolving compute ecosystem.

As part of our expansion, we are looking for a detail-oriented and research-driven Data Researcher to help us build structured industry databases, map key decision-makers, and support our marketing, editorial, and outreach initiatives.

Role Overview

This role focuses on

Industry research

Data collection

Directory & database building

Decision-maker mapping

Newsletter list development The ideal candidate should be highly organized, accurate, and comfortable working with large structured datasets within the digital infrastructure ecosystem.

You will be responsible for researching companies, identifying industry leaders, building verified databases, and supporting internal teams with high-quality market intelligence.

Key Responsibilities

1️⃣ Industry Research & Company Mapping

Research and identify companies across:

Data Centers

AI Infrastructure

Neo Clouds

Sustainability & Energy

Power & Energy Grid

Liquid & Immersion Cooling

Build and maintain structured company directories similar to:

https://www.computeforecast.com/directory-ai/

Categorize companies based on

Industry segment

Geography

Services offered





Market positioning

2️⃣ Decision-Maker & Leadership Mapping

Identify and build verified lists of:

CXOs (CEO, CTO, CIO, CMO, etc.)

Founders & Co-founders

Heads of Departments

Senior Managers & Key Decision-Makers

Collect and structure accurate information including:

Full Name

Designation

Company Name

LinkedIn Profile

Professional Email (where applicable)

3️⃣ Database & Directory Management

Build and maintain structured databases using:

Excel

Google Sheets

CRM platforms

Ensure

Data accuracy

Deduplication

Standardized formatting

Regular updates and expansion of datasets

Maintain clean, scalable, and well-organized databases for internal use.

4️⃣ Newsletter List Development

Build targeted weekly newsletter lists including:

Industry professionals

Decision-makers

Relevant stakeholders

Segment lists based on

Industry

Geography

Seniority level

Ensure high-quality audience targeting and relevant segmentation.

5️⃣ Data Validation & Quality Control

Verify the authenticity of

Companies

Contacts

Email IDs

Remove outdated, duplicate, or irrelevant entries.

Maintain high-quality and accurate datasets consistently.

6️⃣ Collaboration with Internal Teams

Work closely with

Marketing team (campaigns & outreach)

Sales team (lead generation support)

Editorial team (content targeting & research support)





Provide structured datasets to support:

•Campaign execution

•Sales outreach

•Newsletter distribution

•Audience targeting initiatives

Performance Expectations

Within the first 3 months, the candidate should be able to:

•Build a structured company directory

•Create verified decision-maker databases

•Deliver targeted newsletter lists

•Maintain clean and scalable datasets

Long-term success includes:

•Continuously updated industry databases

•Strong contribution to sales and marketing pipelines

•Improved targeting and outreach efficiency

•Consistent data quality and accuracy

Required Skills & Qualifications

•1–3 years of experience in:

•Market Research

•Lead Generation

•Data Research

•Analyst roles

•Strong research and analytical skills

•High attention to detail and accuracy

•Comfortable working with structured datasets

Experience with

LinkedIn (Sales Navigator preferred)

Google Search & Data Sourcing Techniques

Proficiency in

•Excel

•Google Sheets

•Preferred Industry Knowledge

Basic understanding of

•Data Centers

•AI Infrastructure

•Cloud & Neo Cloud Ecosystem

•Sustainability & Energy Markets

Preferred Tools & Skills

•LinkedIn Sales Navigator

•Apollo / ZoomInfo / Lusha (or similar tools)

•CRM platforms (HubSpot, Brevo, Close CRM or similar)

•Data cleaning and structuring techniques

Significant Note

•Applications will only be considered if the candidate:

•Has prior experience in research or data collection

•Demonstrates strong attention to detail

•Is comfortable working with structured data

•Can maintain accuracy and consistency

•Only shortlisted candidates will be contacted.

📌 Data Researcher (India)
🏢 COMPUTE FORECAST
📍 India