Pearson Off Campus Drive 2026 presents an exceptional career opportunity for freshers and recent graduates aiming to secure an Apprentice –
Pearson Off Campus Drive 2026: Job Overview
| Company | Pearson |
|---|---|
| Job Role | Data Analytics |
| Experience | Freshers/0-2 Years |
| Qualification | B.E./B.Tech/BSC/BCAMCA/M.Tech (IT/CS/Related Fields) |
| Batch | 2026/2025/2024 or Any Pass-outs |
| Salary | Best in Industry (Stipend during Apprenticeship) |
| Job Location | Across India (Multiple Locations) |
| Application Mode | Online |
| Last Date to Apply | Apply ASAP (Dates will be updated on the official portal) |
Roles Offered Under the Apprentice Program
The Apprentice – Data Analytics supports the day-to-day execution of data analytics and reporting activities within the Content and Student Digital Delivery (CSDD) team. Working under the close direction of the Lead Specialist, Data Analytics & Business Intelligence, the role focuses on preparing, cleaning, and analysing data, and supporting the build of dashboards and reports with accuracy, consistency, and a commitment to quality.
The ideal candidate has up to 1–2 years of relevant experience or equivalent internship exposure. Prior experience in data analytics, business intelligence, reporting, or AI/automation project environments is an advantage.
Key Responsibilities
Data Preparation & Analysis
Collect, clean, and transform data from multiple sources using Python (e.g., pandas) and SQL, following established analytical workflows. Perform exploratory analysis, produce accurate outputs within agreed timelines, and support the wider team during key reporting and delivery cycles.
Dashboarding & Reporting
Support the build and maintenance of dashboards and recurring reports in Power BI, Excel, or equivalent tools. Ensure metrics, definitions, and visualisations are accurate, consistent, and aligned with PMO governance standards, and provide timely status updates to the supervisor.
AI & Automation Project Support
Contribute to AI and automation initiatives – such as reporting automation, Copilot/agentic pilots, and workflow optimisation – by preparing datasets, testing outputs, documenting results, and supporting proof-of-concept work under guidance. Apply consistent judgement when reviewing AI-generated outputs for accuracy and quality.
Process Documentation & Record Keeping
Follow documented analytical workflows and standard operating procedures. Maintain accurate data records, query logs, and version-controlled outputs in SharePoint or designated repositories. Assist in updating Job Aids and process documentation as directed.
Issue Identification & Escalation
Identify routine data quality or analytical issues during task execution and escalate promptly to the supervisor with sufficient context for rapid resolution. Distinguish expected data variation from non-routine anomalies that require review.
Stakeholder Communication
Communicate analysis status, findings, and workflow updates clearly and consistently to the immediate supervisor. Participate constructively in team check-ins, reviews, and analytics working sessions.
Qualifications & Experience
- Bachelor’s degree in a quantitative, computing, or analytical discipline (e.g., Data Science, Computer Science, Statistics, Mathematics, Engineering), or equivalent practical experience.
- Up to 1–2 years of relevant work experience. Candidates with relevant internship or placement experience will be considered.
- Working knowledge of Python for data manipulation and analysis and automation
- Exposure to AI or automation projects – whether academic, internship, or professional – is required.
- Prior exposure to data analytics, business intelligence, reporting, or digital operations environments is preferred.
- Strong written and verbal communication skills, with the ability to provide clear and structured updates to supervisors.
- High attention to detail, analytical diligence, and the ability to manage concurrent priorities within defined timelines.
Pearson Selection Process
The selection process for the Pearson Off Campus Drive 2026 typically involves multiple stages to identify the best talent:
- Online Application: Submit your detailed resume and academic information through the official career portal.
- Online Aptitude Test: This round assesses your quantitative aptitude, logical reasoning, verbal ability, and potentially basic coding skills.
- Technical Interview(s): Evaluates your technical knowledge, problem-solving skills, and understanding of core computer science concepts relevant to the role.
- HR Interview: Focuses on your communication skills, cultural fit, career aspirations, and motivation to join Pearson.
How to Apply for Pearson Off Campus Drive 2026
Eligible and interested candidates are encouraged to apply as soon as possible. Follow these steps to complete your application:
- Step 1: Click on the “Apply Here” link provided below.
- Step 2: You will be redirected to the official Pearson careers page.
- Step 3: Read the job description carefully and ensure you meet all the eligibility criteria.
- Step 4: Fill out the application form with accurate details and upload your updated resume.
- Step 5: Submit your application.
