Apprentice, Data Analytics & Business Intelligence

Pearson; Dadri; Hybrid; INR 250,000 - 350,000; Full time

Job summary

Pearson in India offers an Apprentice – Data Analytics position within the CSDD team. You will support data preparation, analysis, and dashboarding using Python, SQL, and Power BI, under close supervision.

Exposure to AI/automation projects and SOP-driven workflows will be core parts of the role. The ideal candidate has up to 1–2 years of analytics experience, strong attention to detail, and excellent communication skills to report progress to the Lead Specialist and PMO.

Qualifications

• Bachelor’s degree in a quantitative, computing, or analytical discipline or equivalent practical experience.
• Up to 1–2 years of relevant work experience; internship or placement experience considered.
• Working knowledge of Python for data manipulation and analysis and automation.
• Exposure to AI or automation projects is required.
• Prior exposure to data analytics, BI, or digital operations preferred.
• Strong written and verbal communication with ability to provide clear updates.
• High attention to detail and ability to manage concurrent priorities.

Responsibilities

• Collect, clean, and transform data using Python and SQL following SOPs.
• Support dashboards in Power BI, Excel, ensuring accurate metrics and definitions.
• Contribute to AI/automation projects and proof-of-concept work.
• Maintain documentation, data records, and version-controlled outputs.
• Identify data quality issues and escalate with context for resolution.
• Communicate analysis status and findings to the supervisor.

Skills

Analytical thinking

AI/automation awareness

Attention to detail

Learning orientation

Data tooling comfort

Team player

Clear communication

Education

Bachelor's degree in quantitative/analytical field

Tools

Python

Looker

Oracle PDH

JIRA

Power BI

Excel

Copilot Studio

Smartsheet

SharePoint

Job description

Apprentice – Data Analytics (CSDD)

Overview

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.

This role is designed for individuals who are building their foundational skills in data analytics, demonstrating analytical curiosity, attention to detail, and a willingness to learn. The Apprentice follows established analytical workflows and standard operating procedures (SOPs), maintains accurate data records, and escalates issues promptly within defined channels. Exposure to Python for data manipulation and to AI-driven or automation projects is a core part of this role.

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 elevate 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.

Required Skills & Competencies

• Analytical thinking: Ability to interpret data, spot patterns and anomalies, and translate findings into clear, accurate outputs.
• AI/automation awareness : Familiarity with AI, machine learning, or automation concepts and a willingness to apply them to reporting and workflow tasks.
• Attention to detail : careful adherence to analytical procedures, governance requirements, and data quality expectations.
• Learning orientation : willingness to absorb new tools, techniques, and domain knowledge quickly and apply them as directed.
• Data tooling comfort : working with data, documentation, and reporting/BI tooling in a structured operational environment.
• Team player with a positive, collaborative approach to reviews, check-ins, and cross-functional working sessions.
• Clear and timely communication of analysis status and issues to supervisors.

Tools & Systems

Candidates should have working knowledge of, or a demonstrated willingness to learn, the following:

• Python (basics) – data cleaning, transformation, and analysis
• Querying and extracting data from Looker, Oracle PDH,JIRA
• Power BI / Excel – dashboarding, visualisation, and reporting
• AI & automation tools – Microsoft Copilot Studio, agentic/AI reporting solutions, and workflow automation
• JIRA & Smartsheet – task tracking, workflow management, and operational trackers
• Microsoft Teams, Planner & SharePoint – collaboration, file management, and cross-team communication

Success Metrics

Effectiveness at this level is demonstrated by:

• Consistent and accurate completion of assigned analytical tasks within agreed timelines, following established workflows and SOPs.
• Low error rate and minimal rework on data preparation, analysis, and reporting outputs.
• Reliable, accurate dashboards and reports with correct metrics, definitions, and version control.
• Constructive contribution to AI and automation pilots, with well-documented and tested outputs.
• Timely and appropriately contextualised escalation of data quality or analytical issues to the supervisor.
• Positive feedback from the supervisor on reliability, analytical rigour, and attention to detail.
• Constructive participation in team check-ins, reviews, and retrospectives.

This role sits within the Content and Student Digital Delivery (CSDD) team and reports into the Lead Specialist, Data Analytics & Business Intelligence (Parul Mishra). It works closely with the PMO and Business Support function and cross-functional teams across CSDD.

Who we are:

At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.

Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing [e-mail].

Job: Operations

Job Family: ENTERPRISE

Organization: Higher Education

Schedule: FULL_TIME

Workplace Type: Hybrid

Req ID: 25973

Req Type: Student