Advanced Specialist, Data Analytics, Business Intelligence

Pearson VUE

full-time

Posted on: 2/21/2026

Location Type: Remote

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About the role

Design, build, and maintain analytics data flows and pipelines within the data team.
Create segregated, secure datasets that support role-based access and downstream consumption.
Shape data into curated, consumer-ready models that power dashboards and reporting.
Implement data quality checks and controls so outputs are reliable and trusted.
Define and maintain standard logic for engagement and adoption metrics.
Ensure consistent interpretation of metrics across dashboards, views, and audiences.
Enable multi-dimensional analysis.
Design and deliver high-quality, visually strong dashboards with a clear UX.
Build interactive, intuitive analytics experiences suitable for secure, login-based access.
Apply strong judgement around layout, hierarchy, performance, and usability - treating dashboards as products, not static reports.
Work with Technology and Product counterparts to ensure analytics outputs are fit for scalable consumption, aligned to platform and security expectations.
Support stakeholders by surfacing insights through dashboards that enable engagement, review, and informed action.
Own delivery from data to visualisation, balancing quality, speed, and governance.

Strong SQL and experience building analytics datasets/pipelines end-to-end.
Comfortable working with cloud data platforms and large, governed datasets (GCP / BigQuery preferred or equivalent).
Experience implementing data segregation, access controls, and quality checks.
Strong dashboarding capability with a consumer-grade mindset.
Proven ability to turn complex data into simple, intuitive, interactive visuals.
Experience building dashboards intended for reuse and scale, not one-off analysis.
Confident operating across data, technology, and product contexts.
Strong prioritisation, ownership, and communication skills.
Experience delivering role-based / login-secured analytics (embedded or portal-style), including segmentation and entitlement-aware views.
Familiarity with engagement/telemetry datasets and defining adoption metrics.
Experience integrating data from multiple enterprise sources into analytics-ready datasets.
Dashboarding experience with Power BI and/or Tableau (or comparable platforms).
Degree in a numerate or analytical discipline, or equivalent experience.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLanalytics datasetsdata pipelinesdata segregationaccess controlsdata quality checksdashboardingdata integrationengagement metricsadoption metrics

Soft Skills

prioritisationownershipcommunicationjudgementusabilitycollaborationproblem-solvingadaptabilitystakeholder managementcritical thinking