Specialist, Financial Operations

Reposted 6 Days Ago
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Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
Hybrid
Mid level
Edtech
The Role
Lead analytics and automation for Rights & Royalties operations: translate business needs into requirements, build dashboards and KPIs, perform deep-dive analytics, design and implement workflow automations, support data pipelines and UAT, and improve controls, accuracy, and cycle times to enable faster decision-making.
Summary Generated by Built In

Job Title: Specialist, Financial Operations

Description: In this role, You'll Drive transformation across Rights & Royalties operations by leveraging business analysis, data analytics, and workflow automation to improve accuracy, efficiency, controls, and decision-making. Partner with Finance, Operations, and Technology teams to deliver actionable insights, scalable processes, and measurable business outcomes. This role aligns with industry titles such as Business Analyst, Data Analyst, Business Intelligence (BI) Analyst or Business Analyst – Rights & Royalties Transformation

The Role

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).

What You'll Own

  • 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.
  • 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.
  • Define and maintain KPI frameworks for Rights & Royalties 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.
  • Develop actionable insights and recommendations; present them in executive-ready formats.
  • Identify high-volume manual activities suitable for automation.
  • Build workflow automations and lightweight tools using Power Automate.
  • Support integration patterns and data pipelines in collaboration with engineering/BI teams.
  • Establish strong data definitions, metric logic, and documentation.
  • Implement controls that improve audit readiness.
  • Maintain disciplined change control for reporting and automation assets.

About You

  • 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, SQL, GCP fundamentals (especially BigQuery concepts), and Power Automate.
  • 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.
  • Working knowledge of Artificial Intelligence (AI) and Machine Learning (ML) concepts with the ability to apply them in operational and financial use cases.
  • Exposure to royalties, rights, licensing, publishing/media, or revenue share domains (preferred).
  • Understanding of royalty lifecycle (preferred).
  • Basic scripting (Python) or familiarity with ETL/ELT concepts, dbt, or data quality tooling (preferred).
  • Experience with process mapping, Lean basics, or continuous improvement methods (preferred).
  • Bachelor’s in Computer Science / IT / Data Analytics or Finance / Accounting / Commerce.
  • MBA (Operations / Finance / Analytics), PG Diploma in Business Analytics / Data Science, or relevant Data & Analytics Certifications are differentiators.

What You'll Get

  • 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.

Behavioural Competencies

  • Adaptability, Speed & Agility.
  • Outcome Ownership.
  • Structured Problem-Solving.
  • Precision & Control Mindset.
  • Collaboration.

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.


Skills Required

  • 3-4 years experience in a Business Analyst, Data Analyst, BI Analyst, or Transformation Analyst role.
  • Hands-on experience with Tableau and/or Looker.
  • Proficiency in SQL.
  • GCP fundamentals, especially BigQuery concepts.
  • Experience building workflow automations using Power Automate.
  • Working knowledge of AI and Machine Learning concepts applied to operational and financial use cases.
  • Ability to translate business needs into requirements, user stories, acceptance criteria, and measurable outcomes.
  • Strong stakeholder management and communication skills.
  • Bachelor's in Computer Science / IT / Data Analytics or Finance / Accounting / Commerce.
  • Exposure to royalties, rights, licensing, publishing/media, or revenue share domains.
  • Understanding of royalty lifecycle.
  • Basic scripting (Python) or familiarity with ETL/ELT concepts, dbt, or data quality tooling.
  • Experience with process mapping, Lean basics, or continuous improvement methods.
  • MBA, PG Diploma in Business Analytics/Data Science, or relevant Data & Analytics certifications.
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The Company
HQ: London
29,811 Employees
Year Founded: 1871

What We Do

We are the world’s learning company with more than 22,500 employees operating in 70 countries. We provide content, assessment and digital services to learners, educational institutions, employers, governments and other partners globally. We are committed to helping equip learners with the skills they need to enhance their employability prospects and to succeed in the changing world of work. We believe that wherever learning flourishes so do people.

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