Opportunity brief
About the Company
Rajmudra Group of Companies, headquartered in Pune, Maharashtra, is a diversified business group with operations across transportation, logistics, warehousing, tyre recycling, sustainable energy, and resource recovery. The Group has grown from its transportation roots into a multi-business organisation serving corporates, manufacturing companies, logistics networks, and government organisations. The Group is driven by operational excellence, reliability, innovation, and sustainable value creation.
Vision: To be a trusted and innovative leader across our businesses, delivering excellence and creating sustainable value for our clients, partners and the environment.
Mission: To deliver reliable, high-quality solutions, foster integrity and innovation, and create sustainable value through responsible business practices.
Responsibilities
- Audit the current recruitment funnel (including high-volume roles) and identify where turnaround time is lost.
- Build a candidate tracker/recruitment MIS to replace ad-hoc tracking.
- Design or refine a structured Reward & Recognition framework across business verticals.
- Support development of a measurable performance-evaluation format.
- Digitise paper-based HR process (e.g. onboarding documentation, driver compliance records).
- Build an HR dashboard covering recruitment, attrition, and engagement metrics.
Requirements
We are looking for problem solvers, not task executors. Candidates should be able to identify inefficiencies, analyse root causes, design practical solutions, implement them, and measure their impact. Educational Qualification: MBA / PGDM in Human Resources. Preferred Skills: HR analytics, HRMS familiarity, advanced Excel, process documentation, presentation skills. The internship offers direct ownership of real business problems, exposure to workforce planning across a diverse employee base, exposure to leadership in a fast-scaling group, a clear path to a full-time role, an internship completion certificate, and a letter of recommendation based on performance.