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Senior Data Mining Specialist / Data Intelligence Lead

Kairosoft AI Solutions Ltd

6 - 8 years

Noida

Posted: 08/03/2026

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Job Description


Location: Multiple Locations (Prominently Delhi NCR, Gurugram, Noida)

Employment Type: Full-time



About the Role

We are looking for a Senior Data Mining Specialist who will be responsible for identifying, extracting, and structuring high-quality data to support business expansion, lead generation, and strategic decision-making.

The role requires someone who can source large volumes of relevant institutional and corporate data, transform it into actionable insights, and help the business development team build a strong and scalable outreach pipeline.

This position will play a critical role in strengthening our data-driven growth strategy.



Key Responsibilities

  • Identify and extract relevant institutional, corporate, and decision-maker data from multiple online and offline sources.
  • Build and maintain high-quality structured databases for business development, partnerships, and recruitment initiatives.
  • Perform data mining, web scraping, and data enrichment to identify potential leads and market opportunities.
  • Research and compile target lists of colleges, universities, HR leaders, and decision-makers across regions.
  • Work closely with the sales and business development teams to provide accurate lead intelligence and prospect lists.
  • Ensure data accuracy, consistency, and regular database updates.
  • Develop data frameworks and processes to improve data acquisition efficiency.
  • Analyze datasets to identify patterns, trends, and potential market opportunities.
  • Support strategic initiatives by generating insightful reports and dashboards.



Tools & Technical Skills

Candidates should have working knowledge of:

  • Advanced Excel / Google Sheets
  • Data scraping tools (Apify, Octoparse, ParseHub, etc.)
  • LinkedIn Sales Navigator / professional networking platforms
  • CRM tools (HubSpot, Zoho, Salesforce or similar)
  • Basic knowledge of SQL, Python, or automation tools will be an advantage
  • Data cleaning and enrichment platforms



Compensation & Benefits

Total CTC: Up to LPA

Structure:

  • Fixed Salary: Up to LPA
  • Variable Pay: Up to LPA (performance-based)

The variable component will be linked to data quality, lead generation impact, and business enablement metrics.

Additional benefits may include performance incentives, growth opportunities, and exposure to AI-driven data systems.



Required Qualifications

  • Bachelors or Masters degree in Data Analytics, Computer Science, Business Analytics, or related field.
  • 36 years of experience in data mining, data research, or lead intelligence roles.
  • Strong analytical mindset with the ability to transform raw data into business insights.
  • Experience working with large datasets and structured databases.
  • High attention to detail and strong data validation capabilities.



Ideal Candidate Profile

  • Highly analytical with strong data research and mining skills.
  • Ability to work independently and handle large-scale datasets.
  • Comfortable working in a fast-paced startup environment.
  • Passionate about using data to drive business decisions.


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