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PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

Business Analyst - Data, Tech Hub

Business AnalysisPosted on Nov 10
Full-timeMelbourne VIC, AustraliaNo salary listedIn-person

About the Job

Requirements

  • Significant experience as a Business Analyst leading complex technology, transformation, or data-enabled initiatives.
  • Ability to independently take an ambiguous business problem from discovery through delivery and determine an appropriate analysis approach.
  • Capability across discovery, requirements elicitation and management, process analysis, options analysis, impact analysis, and solution evaluation.
  • Practical data analysis capability, using data to understand business problems, test assumptions, identify issues, and support business decisions.
  • Experience supporting data migration, transformation, or integration, including data requirements, data profiling, source-to-target mapping, data quality, reconciliation, transformation or business rules, and validation.
  • Ability to understand the business meaning and use of data and translate between business stakeholders and data or technology specialists.
  • Analytical and problem-solving capability, including identifying root causes, gaps, and requirements that may not be apparent initially.
  • Facilitation and stakeholder engagement skills, including working with senior stakeholders, building credibility, and constructively challenging when required.
  • Ability to translate complex business, data, and technical information into clear language for stakeholder decision-making.
  • Requirements management, documentation, and traceability discipline across design, build, testing, and implementation.
  • Experience working effectively with multidisciplinary teams, including business SMEs, project and product teams, architects, developers, data engineers, testers, risk teams, and operational teams.
  • Ability to manage competing priorities and dependencies while maintaining ownership and delivery momentum.
  • Experience leading or mentoring other analysts, reviewing analysis quality, and helping improve business analysis practices and capability.
  • Curiosity, sound judgement, attention to detail, and pragmatic, outcome-focused approach to challenging the status quo.
  • Comfort working with data throughout the analysis lifecycle, particularly for migration, integration, transformation, or significant data change.
  • Experience may include defining business and data requirements; identifying relevant data sources; data profiling and quality analysis; source-to-target and field mapping; data reconciliation and validation; defining transformation, matching, and business rules; analysing exceptions, gaps, and inconsistencies; supporting migration testing and business acceptance; and translating analysis into business insights and decisions.

Responsibilities

  • Lead business analysis end-to-end, from discovery and problem definition through requirements, delivery, testing, implementation, and transition.
  • Plan and manage the analysis approach, including activities, deliverables, dependencies, stakeholder engagement, and priorities.
  • Work with stakeholders to define business problems, desired outcomes, and scope; challenge assumptions and resolve ambiguity.
  • Elicit, analyse, structure, and prioritise requirements using stakeholder input, business processes, systems, evidence, and data.
  • Translate business needs into clear, testable business requirements, business rules, process models, and acceptance criteria, maintaining traceability to agreed business outcomes.
  • Use data as an integral part of business analysis, including data profiling, mapping, reconciliation, data quality assessment, business rules, and analysis of data gaps or issues.
  • Support data migration and transformation initiatives by defining business data requirements, understanding source and target data, contributing to source-to-target mapping, defining transformation and validation rules, identifying data quality issues, and supporting business reconciliation and acceptance.
  • Work with business SMEs, data analysts, architects, data engineers, developers, and other technical specialists to retain business meaning, rules, and requirements throughout data migration and transformation.
  • Analyse current- and future-state processes, system interactions, and information flows, identifying impacts, risks, dependencies, and opportunities for improvement.
  • Assess options and use evidence and data to support decision-making rather than simply documenting a predetermined solution.
  • Maintain alignment between business outcomes, requirements, solution design, and delivery across business and technical stakeholders.
  • Support user acceptance testing and business validation, including validating that migrated or transformed data meets agreed requirements and business rules.
  • Support operational readiness and transition so changes can be adopted and supported following implementation.
  • Lead and mentor other analysts, providing delivery guidance, coaching, and quality review while contributing directly to analysis work.
  • Promote consistent, high-quality analysis practices and contribute to continuous improvement of the Analysis practice.

Desired Qualifications

  • Experience with tools and platforms such as SQL, Power BI, Power Query, Databricks, Snowflake, Azure, AWS, or Google Cloud.
  • Experience in large-scale data migration and transformation; data governance and data quality; systems integration and application modernisation; cloud and modern data platforms; analytics and AI-enabled transformation; technology risk, controls, or remediation; identity and access management; operational readiness and transition; or regulatory or governance-related transformation.

About the Company

PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

PwC provides assurance (audit), tax, legal services, consulting and deals advisory to organisations worldwide. It uses multidisciplinary teams across accounting, advisory, technology and industry, delivered through a global network of locally established firms that collaborate with technology partners to offer AI, cloud, managed services and digital trust. PwC differentiates itself with an integrated, global-local service model and technology-enabled offerings that address complex client needs across risk, transformation, reporting and sustainability. Its goal is to help clients improve governance, efficiency and value by supporting reporting accuracy, business transformation, risk management and sustainable practices.

Company size
10,001+
Company stage
Early VC
Total funding
$3.3M
Headquarters
London, United Kingdom
Founded
1989

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