Data Research Analyst

Important Note Applications will be considered only 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 Location: Remote (India) Experience Required: 1–3 Years (Preferred) Industry Focus: Data Centers | AI Infrastructure | Neo Clouds | Sustainability | Power & Energy Grid | Liquid & Immersion Cooling Employment Type: Full-Time About Compute Forecast Compute Forecast is a global intelligence platform focused on AI, cloud computing, data centers, and digital infrastructure. We build data-driven insights, industry reports, and intelligence platforms that help enterprises make strategic decisions. As part of our growth, we are looking for a Research & Market Intelligence Associate who can help build structured industry databases, identify key decision-makers, and support our content and outreach ecosystem.

Role Overview This role focuses on research, data collection, and database building within the digital infrastructure ecosystem. You will be responsible for: Identifying companies across key infrastructure sectors Building structured directories and intelligence databases Mapping CXOs and decision-makers Creating targeted lists for outreach and newsletters This is a detail-oriented role requiring strong research skills, accuracy, and consistency. Key Responsibilities: Industry Research & Company Mapping Research and identify companies across: Data Centers AI Infrastructure Neo Clouds Sustainability & Energy Power & Energy Grid Liquid & Immersion Cooling Build a structured company directory list similar to: (https://www.computeforecast.com/directory-ai/) Categorize companies based on: Industry segment Geography Services offered Market positioning Decision-Maker & Leadership Mapping: Identify and build verified lists of: CXOs (CEO, CTO, CIO, CMO, etc.) Founders & Co-founders Heads of Departments Senior Managers & Decision-makers Collect accurate data including: Full Name Designation Company LinkedIn profile Professional email (where applicable) Database & Directory Building: Build and maintain structured databases in: Excel / Google Sheets / CRM Ensure: Data accuracy Deduplication Standard formatting Regularly update and expand the directory Newsletter List Development: Build a targeted weekly newsletter list including: Industry professionals Decision-makers Relevant stakeholders Segment lists based on: Industry Geography Seniority Ensure high-quality and relevant audience targeting Data Validation & Quality Control: Verify authenticity of: Companies Contacts Email IDs Remove outdated or irrelevant entries Maintain high-quality, clean datasets Collaboration with Internal Teams: Work closely with: Marketing team (for campaigns & outreach) Sales team (for lead generation) Editorial team (for content targeting) Provide structured data to support: Campaign execution Sales outreach Newsletter distribution Performance Expectations: Build and maintain a high-quality industry directory Deliver accurate and verified decision-maker lists Ensure regular database updates Support lead generation and outreach efforts Maintain strong data quality and consistency Required Skills & Qualifications 1–3 years of experience in: Market research Lead generation Data research or analyst roles Strong research and analytical skills Experience with: LinkedIn (Sales Navigator preferred) Google search & data sourcing tools Proficiency in: Excel / Google Sheets High attention to detail and accuracy Preferred Industry Knowledge Basic understanding of: Data Centers AI Infrastructure Cloud & Neo Cloud ecosystem Energy & sustainability 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 What Success Looks Like in This Role Within 3 months: Build a structured company directory Create a verified decision-maker database Deliver high-quality newsletter lists Long-term success includes: Continuously updated and scalable database Strong contribution to marketing and sales pipelines Improved targeting and outreach efficiency