Advanced Specialist, Data Analytics & Business Intelligence

Edtech.com's Summary

Pearson is hiring an Advanced Specialist, Data Analytics & Business Intelligence. This role involves designing, building, and maintaining data assets, pipelines, and dashboards that enable secure, role-based insights focused on engagement and adoption analytics, collaborating with technology and product teams to deliver scalable analytics solutions.

Highlights

Design, build, and maintain analytics data flows and pipelines.
Create segregated, secure datasets supporting role-based access.
Develop curated, consumer-ready data models for dashboards and reporting.
Define and maintain standard logic for engagement and adoption metrics.
Deliver high-quality, visually strong, interactive dashboards with secure login-based access.
Collaborate cross-functionally with technology and product teams for scalable, secure analytics delivery.
Strong SQL skills and experience with cloud data platforms, preferably GCP / BigQuery.
Experience with data segregation, access controls, and implementing data quality checks.
Proficiency in dashboarding tools such as Power BI and/or Tableau or comparable platforms.
Degree in a numerate or analytical discipline, or equivalent experience.

Advanced Specialist, Data Analytics & Business Intelligence Full Description

Context

We are building a secure and scalable analytics capability that enables trusted insights to be exposed consistently across the organisation and into externally consumed experiences. We are looking for a Data Products & Visual Analytics expert .

This role sits within the data team and is responsible for building the data assets, pipelines, and visual analytics that underpin highâquality, roleâbased insight consumption. The focus is on engagement and adoption analytics , delivered through consumerâgrade dashboards backed by governed, wellâstructured data.

What You'll Be Responsible For:

1) Data Assets & Secure Analytics Foundations

Design, build, and maintain analytics data flows and pipelines within the data team.
Create segregated, secure datasets that support roleâbased access and downstream consumption.
Shape data into curated, consumerâready models that power dashboards and reporting.
Implement data quality checks and controls so outputs are reliable and trusted.

2) Metrics & Semantic Consistency

Define and maintain standard logic for engagement and adoption metrics.
Ensure consistent interpretation of metrics across dashboards, views, and audiences.
Enable multiâdimensional analysis .

3) Visual Analytics & Dashboard Delivery

Design and deliver highâquality, visually strong dashboards with a clear UX.
Build interactive, intuitive analytics experiences suitable for secure, loginâbased access .
Apply strong judgement around layout, hierarchy, performance, and usability - treating dashboards as products, not static reports.

4) CrossâFunctional Delivery

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.

Skills & Experience

Data & Engineering

Strong SQL and experience building analytics datasets/pipelines endâtoâend .
Comfortable working with cloud data platforms and large, governed datasets ( GCP / BigQuery preferred or equivalent).
Experience implementing data segregation, access controls, and quality checks.

Visualisation & Analytics Products

Strong dashboarding capability with a consumerâgrade mindset.
Proven ability to turn complex data into simple, intuitive, interactive visuals.
Experience building dashboards intended for reuse and scale, not oneâoff analysis.

Delivery & Collaboration

Confident operating across data, technology, and product contexts.
Strong prioritisation, ownership, and communication skills.

Core Capabilities for Scaled & Secure Analytics

Experience delivering roleâbased / loginâsecured analytics (embedded or portalâstyle), including segmentation and entitlementâaware views.
Familiarity with engagement/telemetry datasets and defining adoption metrics.
Experience integrating data from multiple enterprise sources into analyticsâready datasets.
Dashboarding experience with Power BI and/or Tableau (or comparable platforms).

Qualifications

Degree in a numerate or analytical discipline, or equivalent experience.

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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 TalentExperienceGlobalTeam@grp.pearson.com.

Job:

Operations

Job Family: ENTERPRISE

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Original Job Description