Advanced Associate, Data Analyst
Pearson
Job Overview
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Job Description
About Pearson
At Pearson, we’re committed to a world that’s always learning. We empower bold thinkers to explore new frontiers and create innovations that help learners everywhere. As an Advanced Associate, Data Analyst, you will learn by doing—contributing to the International Higher Education (IHE) team while building practical analytics, workflow, and collaboration skills.
Role Summary
The Advanced Associate, Data Analyst supports dashboards, reports, schedules, and data operations under guidance from experienced analysts and managers. You will help import data from approved systems, perform routine checks, maintain documentation, and assist with quality assurance while developing your skills in Microsoft 365 and Smartsheet.
Key Responsibilities
- Assist with importing data from approved sources (e.g., PDH, OBIA/OBIEE) and help reconcile routine reports across geographies in Excel, PowerPoint, and Smartsheet.
- Support teams in managing schedules, dashboards, and workflows; maintain tracker hygiene and status updates.
- Create basic charts/graphs to compare plan, trend, and actual delivery durations; learn how to interpret deviations and flag risks.
- Help prepare dashboards showing early/on‑time/delayed deliveries segmented by region; maintain refresh cadence.
- Troubleshoot Smartsheet access issues following documented procedures; submit/track access requests and remove access when requested.
- Perform data housekeeping (cleanup, deduplication) and support routine backups following team standards.
- Update workflow/process documentation, including naming conventions and change logs.
- Support quality assurance activities (spot checks, sample validation, link checks) under supervision.
- Collaborate with business colleagues to understand reporting requirements; capture meeting notes and translate into task lists.
- Contribute to developing new workflows and maintaining existing ones; draft step‑by‑step guides with screenshots where helpful.
- For Smartsheet onboarding, we’ll embed best practices (access control, automation, backups, documentation) from the internal guidance page to support the new hire’s ramp‑up.
Learning & Development
- Structured onboarding to Pearson collaboration, workflow, data, and document management best practices.
- On‑the‑job mentorship from analysts and managers; regular feedback on tasks and deliverables.
- Smartsheet training covering access control, automation, dashboards, and backup procedures.
- Exposure to cross‑functional teams (Portfolio, Production, PSG, Marketing) and international stakeholders.
Qualifications
- Currently enrolled in or recently completed a diploma/degree in Computer Science, Information Systems, Mathematics, Business Analytics, or related field (or equivalent experience).
- Foundational analytical and problem‑solving skills; ability to break down ambiguous problems into steps.
- Strong organization and time management; comfortable in a fast‑paced, distributed environment.
- Clear written and verbal communication; attention to detail.
- Basic experience with Microsoft 365 (Outlook, Teams, OneDrive, SharePoint, Excel, PowerPoint).
- Familiarity with Smartsheet or similar project/worksheet tools is an asset (training provided).
Desired Skills (Nice To Have)
- Excel (lookups, pivots, charts) and comfort with data import/cleanup routines.
- Exposure to requirements analysis or documenting business processes.
- Awareness of MS Project and collaboration via Microsoft Teams.
Schedule & Location
Schedule: Full‑time, aligned to standard business hours. To collaborate across time zones, occasional early meetings (from ~07:15) or late calls (to ~20:00) may be required.
Location: Hybrid (remote + office) with in‑office activities as required. (India)
Key skills/competency
- Data Analysis
- Reporting
- Workflow Management
- Data Import
- Quality Assurance
- Documentation
- Microsoft 365
- Smartsheet
- Excel
- Problem-solving
How to Get Hired at Pearson
- Research Pearson's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume to highlight data analysis, reporting, and Smartsheet skills relevant to Pearson's needs.
- Showcase problem-solving skills: Prepare examples demonstrating your foundational analytical and problem-solving abilities for the Advanced Associate, Data Analyst role.
- Master Microsoft 365 and Smartsheet: Emphasize your basic experience and willingness to learn these essential tools during your Pearson interview.
- Highlight communication and organization: Be ready to discuss how you manage tasks and communicate effectively in a fast-paced, distributed environment at Pearson.
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