Specialist, Financial Operations at Pearson PlcWestminster

Noida, Uttar Pradesh, India -

Full Time

Start Date

Immediate

Expiry Date

23 Sep, 26

Salary

0.0

Posted On

25 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Tableau, Looker, SQL, Google Cloud Platform, BigQuery, Power Automate, Business Analysis, Data Analysis, Workflow Automation, Stakeholder Management, KPI Frameworks, Process Mapping, AI/ML Concepts, Financial Operations, Rights & Royalties, Data Governance

Industry

Education

Description

We are seeking a high-impact Business Analyst / Data Analyst (3–4 years’ experience) to join the Rights & Royalties Transformation Group. This role blends business analysis, analytics, and workflow automation to improve royalty accuracy, cycle times, controls, and decision visibility. The ideal candidate is fast, agile, and execution-focused, able to grasp business fundamentals quickly, translate them into data and process requirements, and deliver measurable operational outcomes through dashboards, automation, and standardisation. Royalties domain experience is a strong advantage (rights, licensing, royalty calculations, statements, author/vendor payments, deductions, reserves, contractual terms). -------------------------------------------------------------------------------- Key Objectives (What Success Looks Like) * Build trusted operational and financial visibility for Rights & Royalties via dashboards and KPIs. * Drive automation and simplification of recurring operational activities (exceptions, validations, reconciliations, reporting packs). * Reduce rework, disputes, and leakage risks through improved data quality and process controls. * Enable faster decision-making through standardised reporting and self-serve insights. -------------------------------------------------------------------------------- Core Responsibilities 1) Business Analysis & Transformation Delivery * Conduct rapid discovery of current processes (as-is), pain points, and root causes across rights, royalties, and related finance operations. * Translate business needs into clear requirements, user stories, acceptance criteria, and measurable outcomes (cycle time, error reduction, SLA improvement). * Partner with Operations, Finance, Product/Tech and stakeholders to design to-be processes using the lens: Standardise → Automate → Optimise → Scale. * Drive execution: prioritise backlog, manage dependencies, support UAT, and ensure adoption with crisp documentation and training aids. 2) Data Analysis, Reporting & Insights * Define and maintain KPI frameworks for Rights & Royalties (examples below) and convert them into operational dashboards. * Build and maintain dashboards using Tableau and/or Looker, ensuring performance, data integrity, and stakeholder usability. * Perform deep-dive analytics to identify trends and anomalies: late statements, high adjustments, dispute drivers, rate/term deviations, missing metadata, revenue-to-royalty variances. * Develop actionable insights and recommendations; present them in executive-ready formats. 3) Automation & Workflow Enablement * Identify high-volume manual activities suitable for automation (data validation, exception triage, case routing, notifications, approvals, report refresh workflows). * Build workflow automations and lightweight tools using Power Automate (and connected services), with appropriate controls and audit trails. * Support integration patterns and data pipelines in collaboration with engineering/BI teams (e.g., BigQuery datasets, scheduled refresh, data quality checks). 4) Data Governance, Controls & Documentation * Establish strong data definitions, metric logic, and documentation (data dictionary, KPI definitions, SOPs). * Implement controls that improve audit readiness: reconciliation checkpoints, exception logs, approval matrices, and traceability. * Maintain disciplined change control for reporting and automation assets. -------------------------------------------------------------------------------- Typical KPIs You May Own (Illustrative) * Automation savings (hours saved/month), adoption rates, cycle time reduction * Report refresh reliability, data latency, dashboard usage metrics -------------------------------------------------------------------------------- Required Skills & Experience * 3–4 years’ experience in a Business Analyst, Data Analyst, BI Analyst, or Transformation Analyst role. * Strong analytical capability with hands-on experience in: * Tableau and/or Looker (dashboards, calculated fields, data exploration, performance considerations) * SQL (joins, aggregations, window functions; ability to investigate data issues) * GCP fundamentals (especially BigQuery concepts; datasets, tables, views, basic optimisation awareness) * Power Automate (workflow automation, approvals, notifications, connectors; governance mindset) * Proven ability to convert ambiguous problems into structured work and deliver outcomes with pace. * Strong stakeholder management: can work with Ops/Finance/Tech, handle competing priorities, and drive closure. * Excellent communication: concise requirements, clear visuals, executive-ready summaries. * Artificial Intelligence & Advanced Analytics: Working knowledge of Artificial Intelligence (AI) and Machine Learning (ML) concepts with the ability to apply them in operational and financial use cases. Ability to translate business problems into AI/analytics use cases with measurable ROI (cycle time reduction, accuracy improvement, cost efficiency). -------------------------------------------------------------------------------- Preferred * Exposure to royalties, rights, licensing, publishing/media, or revenue share domains. * Understanding of royalty lifecycle: contract terms, rate structures, deductions, reserves, statements, payments, recoupment, audit/dispute handling. * Basic scripting (Python) or familiarity with ETL/ELT concepts, dbt, or data quality tooling. * Experience with process mapping (Blueworks/Lucidchart), Lean basics, or continuous improvement methods. -------------------------------------------------------------------------------- Qualifications Bachelor’s in: * Computer Science / IT / Data Analytics * Finance / Accounting / Commerce (adds strong advantage in royalties context) Or Postgraduate (Good Differentiator, not mandatory): * MBA (Operations / Finance / Analytics) * PG Diploma in Business Analytics / Data Science Or Data & Analytics Certifications * Google Cloud (GCP) – Associate Data Engineer / Data Analytics * Tableau Certified Data Analyst * Looker / BI tool certifications -------------------------------------------------------------------------------- Behavioural Competencies (Non-Negotiable for Transformation) * Adaptability, Speed & agility: moves quickly from discovery to deliverables; comfortable iterating. * Outcome ownership: focuses on measurable improvement, not activity. * Structured problem-solving: separates symptoms from root cause; prioritises by risk and impact. * Precision & control mindset: understands financial and contractual sensitivity in royalties. * Collaboration: earns trust across operations and technology; handles conflict professionally. -------------------------------------------------------------------------------- Working Relationships * Works closely with Rights & Royalties Operations, Finance, BI/Engineering, Product/Tech, and Compliance/Legal (as needed). * Acts as an analytics and automation partner to operational leaders and transformation owners. -------------------------------------------------------------------------------- What We Offer (Optional section you can keep/remove) * High-visibility transformation scope with measurable business impact * Opportunity to build modern analytics and automation capabilities in a financially sensitive domain * Strong cross-functional exposure across Rights, Royalties, Finance, and Technology --------------------------------------------------------------------------------

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Responsibilities

The role focuses on improving royalty accuracy and operational visibility through the creation of dashboards, KPIs, and workflow automations. It involves conducting process discovery to translate business needs into technical requirements and implementing data controls to reduce leakage risks.