Business Analyst | Manager | Data | Tech Hub

Line of Service

Internal Firm Services

Industry/Sector

Not Applicable

Specialism

Workforce Transformation

Management Level

Manager

Job Description & Summary

Tech Hub enables PwC Australia to achieve its technology-driven goals through the adoption and delivery of new technology, management of technology risk, and effective use of data.

As a Business Analyst | Manager, you will help ensure we solve the right business problem and deliver the right outcome. You will work across business, data and technology teams to understand business problems and desired outcomes, analyse processes and data, assess options, define and prioritise requirements, and maintain alignment from discovery through delivery.

Data analysis is an important part of this role. With significant transformation and data migration activity underway, you will need to be comfortable analysing data alongside business processes and requirements, helping teams understand what data is required, how it is used, how it needs to change or move, and whether it is fit for purpose.

At Manager level, you will independently lead complex analysis, provide direction and quality oversight to other analysts, and contribute to improving analysis capability and ways of working across the team.

Why PwC?

At PwC Australia, your skills meet purpose. We tackle big challenges across industries like finance, technology, energy, and health - giving you the chance to make a real impact. Here, your growth is our priority. You’ll work with leading teams, explore new technologies, and unlock your full potential.

Join a global community of more than 370,000 people who value bold ideas, collaboration, and lasting change. Together, we’re building trust and shaping the future.

What you’ll do:

• •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 , constructively challenging assumptions and resolving 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 ensure business meaning, rules and requirements are retained through 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.
• •Work across business and technical stakeholders to maintain alignment between business outcomes, requirements, solution design and delivery.
• •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, ensuring changes can be effectively adopted and supported following implementation.
• •Lead and mentor other analysts , providing delivery guidance, coaching and quality review while continuing to contribute directly to analysis work.
• •Promote consistent, high-quality analysis practices and contribute to continuous improvement of the Analysis practice.

What we’re looking for:

• •Significant experience as a Business Analyst leading complex technology, transformation or data-enabled initiatives .
• •Demonstrated ability to independently take an ambiguous business problem from discovery through to delivery , determining the appropriate analysis approach rather than relying on a predefined set of tasks.
• •Strong capability across discovery, requirements elicitation and management, process analysis, options analysis, impact analysis and solution evaluation.
• •Strong practical data analysis capability , with experience 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 , not simply its technical structure, and translate between business stakeholders and data or technology specialists.
• •Strong analytical and problem-solving capability, including identifying root causes, gaps and requirements that may not have been apparent at the outset.
• •Strong facilitation and stakeholder engagement skills, including the confidence to work with senior stakeholders, build credibility and challenge constructively when required .
• •Ability to translate complex business, data and technical information into clear language that stakeholders can understand and use to make decisions.
• •Strong 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 , including reviewing analysis quality and helping uplift BA practices and capability.
• •Curiosity, sound judgement, attention to detail and a willingness to challenge the status quo while remaining pragmatic and outcome-focused.

Data and technology capability

This role requires strong data literacy and practical data analysis capability. You should be comfortable working with data throughout the analysis lifecycle, particularly where initiatives involve migration, integration, transformation or significant data change.

Experience may include:

• •defining business and data requirements
• •identifying and understanding 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
• •translating complex analysis into clear business insights and decisions.

Experience with tools and platforms such as SQL, Power BI, Power Query, Databricks, Snowflake, Azure, AWS or Google Cloud is valuable.

The role does not require candidates to be data engineers, developers or platform administrators. We are looking for Business Analysts who can work confidently with data and partner effectively with the specialists responsible for designing and implementing technical solutions.

Desirable experience

Experience in one or more of the following would be advantageous:

• •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