Objective:

This role holds a strategic position within the MIT Group of Institutions, overseeing digital data management, lead generation and performance analytics across multiple education platforms. The specialist will be responsible for gathering, analyzing and interpreting data from Google, Meta, College Dunia, Shiksha, and other key education portals to drive decision-making across admissions, placements and marketing investments, HR data, purchase, infrastructure etc.

This is not a purely marketing or coding role but rather a data-driven decision-making position. The ideal candidate should possess a strong analytical mindset, a keen understanding of digital education trends, and the ability to work with AI tools and scientific methodologies to extract valuable insights.

Key Responsibilities:

Lead Generation & Digital Data Management

- Monitor and manage lead generation data from multiple platforms, including Google, Meta, College Dunia, Shiksha, and other educational sources.

- Track lead flow, conversion rates, and quality, identifying trends to improve effectiveness.

- Maintain data integrity and accuracy across all platforms for seamless reporting.

Data Analytics & Reporting

- Conduct data analysis for admissions, placements, signups, and applications, identifying key patterns and insights.

- Utilize AI tools, automation, and advanced data science methodologies to enhance data-driven decision-making.

- Present reports and visual insights on student enrolment trends, platform performance, and lead effectiveness.

Collaboration & Decision Support

- Support the sales and marketing teams by providing data-backed insights for budget allocation and lead strategy.

- Assist the admissions and placement teams in understanding student behavior, application patterns, and future projections.

- Help decision-makers optimize resource allocation based on data-driven forecasting.

AI & Technology Integration

- Stay up-to-date with the latest AI-driven analytics tools and scientific approaches to data analysis.

- Implement tech-friendly solutions to improve reporting efficiency and data visualization.

- Ensure smooth integration of AI and automation in lead analysis and performance tracking.

HR, Finance, Purchase, Infrastructure

- Employee Turnover and Retention, Recruitment Metrics, Employee Performance data, total spend, Cost Control and Savings, Expense Tracking, Budget vs. Actuals, Capital Expenditures (CapEx) and Operational Expenditures (OpEx), Facility Maintenance Costs analysis, Infrastructure Investment & Upgrades.

Key Skills & Qualifications:

- Bachelor's/Master's degree in Data Analytics, Business Intelligence, or a related field.

- Strong expertise in data analysis, research methodologies, and trend identification.

- Experience in handling education-sector data across Google, Meta, College Dunia, Shiksha, and other relevant platforms.

- Proficiency in data visualization tools (Excel, Power BI, Tableau) and familiarity with AI-driven analytics.

- Ability to interpret complex datasets and provide actionable insights without deep coding knowledge.

- Strong collaboration skills to work with sales, marketing, and admissions teams for data-driven decision-making.

- Tech-savvy and comfortable working with scientific methodologies to evaluate lead generation and institutional performance.