
Eligibility Criteria
Open to all final‑year undergraduate or postgraduate students (2024‑2026 batches) from any discipline with a strong interest in data analytics, statistics, computer science, engineering, or finance. Minimum academic performance of 60% aggregate (or equivalent CGPA). No backlogs allowed at the time of registration. Candidates must have basic proficiency in spreadsheet tools and a willingness to learn data‑visualisation software.

Job Description & Key Responsibilities
The Forage is a global ed‑tech platform that partners with leading corporations to deliver realistic, short‑term virtual work experiences. By collaborating with firms such as Deloitte, PwC, and KPMG, The Forage enables students and fresh graduates to explore career pathways, develop industry‑relevant skills, and showcase their capabilities to potential employers. The platform’s simulations are designed by the partner companies’ own professionals, ensuring that the tasks mirror real‑world projects and that participants receive authentic feedback. As a result, The Forage has become a trusted bridge between academia and the corporate world, especially for Indian fresher talent seeking exposure to multinational environments.
The role advertised is a self‑paced Data Analytics Job Simulation created by Deloitte Australia. It is not a conventional job posting but an experiential learning module that lets participants practice forensic investigations, data analytics, and visualization techniques. Over 1‑2 hours, candidates work through pre‑recorded video guidance, complete example tasks, and receive a certificate upon successful completion. The simulation is optional, free of charge, and does not involve any grading or live interaction, making it an ideal way for students to build confidence before applying for full‑time or internship positions at Deloitte or similar firms.
Key responsibilities during the simulation include:
1. Gathering and cleaning raw data sets using spreadsheet tools.
2. Conducting exploratory data analysis to identify patterns and anomalies.
3. Building data models that support forensic investigation scenarios.
4. Creating visual dashboards with tools such as Power BI or Tableau.
5. Interpreting analytical findings and drafting concise insights.
6. Applying statistical techniques to validate hypotheses.
7. Documenting the analytical workflow for reproducibility.
8. Presenting results in a clear, business‑focused narrative.
9. Collaborating with virtual teammates via discussion boards.
10. Submitting a final project report for certification.
The technical stack emphasized in the simulation comprises Microsoft Excel/Google Sheets, SQL basics, Python (pandas, matplotlib), and data‑visualisation platforms like Power BI. Participants also get exposure to data‑modeling concepts and forensic analytics frameworks used by Deloitte’s risk‑and‑financial advisory teams.
Growth path: Completing the simulation equips candidates with a tangible credential that can be added to their resume and LinkedIn profile, signalling readiness for entry‑level analyst roles. It also provides a foot‑in‑the‑door to Deloitte’s graduate recruitment pipeline, where successful simulation participants are often shortlisted for campus interviews. Moreover, the hands‑on experience helps candidates transition smoothly into full‑time data‑analytics or consulting positions, accelerating their career trajectory.
Why join this simulation? It offers a risk‑free environment to practice high‑impact data‑analytics skills, receive a reputable certificate, and differentiate oneself in a competitive job market. The experience mirrors real Deloitte projects, allowing aspirants to gauge their fit for a consulting career while building a portfolio of work that demonstrates analytical rigor and business acumen.