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Apprentice, Data Analytics – Business Intelligence
Pearson VUE. Collect, clean, and transform data from multiple sources using Python and SQL .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in data collection, cleaning, and transformation using Python and SQL, with a strong focus on producing accurate outputs and maintaining data integrity. Experienced in supporting AI and automation initiatives, as well as creating dashboards and reports in Power BI and Excel.
Highest-signal resume keywords
Python For Data ManipulationSQL For Data QueryingPower BI For DashboardingAI And Automation ExposureStrong Communication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data CleaningData TransformationData AnalysisExploratory AnalysisReporting AutomationData Quality AssurancePattern RecognitionVersion ControlDocumentationAnalytical Workflows
Soft Skills
Attention To DetailAnalytical DiligenceTime ManagementCollaborationVerbal Communication
Tools & Technologies
Power BIExcelMicrosoft Copilot StudioLookerOracle PDHJIRASmartsheetMicrosoft TeamsSharePointMicrosoft Planner
Industry Keywords
Data ScienceBusiness IntelligenceDigital OperationsPMO GovernanceAutomation Initiatives
Tech Stack
Tools & technologiesOraclePythonSQL
About the role
Key responsibilities & impact- Collect, clean, and transform data from multiple sources using Python and SQL
- Perform exploratory analysis and produce accurate outputs within agreed timelines
- Support the build and maintenance of dashboards and recurring reports in Power BI, Excel, or equivalent tools
- Ensure metrics, definitions, and visualisations are accurate and aligned with PMO governance standards
- Provide timely status updates to the supervisor
- Contribute to AI and automation initiatives, including reporting automation, Copilot/agentic pilots, and workflow optimisation
- Prepare datasets, test outputs, document results, and support proof-of-concept work under guidance
- Review AI-generated outputs for accuracy and quality
- Follow 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
- Identify routine data quality or analytical issues and escalate them promptly to the supervisor
- Communicate analysis status, findings, and workflow updates to the immediate supervisor
- Participate in team check-ins, reviews, and analytics working sessions
- Work closely with the PMO, Business Support function, and cross-functional CSDD teams
Requirements
What you’ll need- 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; relevant internship or placement experience considered
- Working knowledge of Python for data manipulation, analysis, and automation
- Exposure to AI or automation projects—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
- High attention to detail, analytical diligence, and ability to manage concurrent priorities within defined timelines
- Ability to interpret data, spot patterns and anomalies, and translate findings into clear, accurate outputs
- Familiarity with AI, machine learning, or automation concepts
- Working with data, documentation, and reporting/BI tooling in a structured operational environment
- Python basics for data cleaning, transformation, and analysis
- Querying and extracting data from Looker, Oracle PDH, and JIRA
- Power BI and Excel for dashboarding, visualisation, and reporting
- Microsoft Copilot Studio, agentic/AI reporting solutions, and workflow automation
- JIRA and Smartsheet for task tracking and workflow management
- Microsoft Teams, Planner, and SharePoint for collaboration and file management