Senior Data Mining Specialist / Data Intelligence Lead
Kairosoft AI Solutions Ltd
6 - 8 years
Noida
Posted: 08/03/2026
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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