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This role delivers full lifecycle data initiatives, from requirements analysis and architecture design through development, testing, deployment, and ongoing optimisation. It captures and validates business and system requirements. The role leads discussions with stakeholders, maintains robust documentation, and supports the team in articulating requirements while also developing reports and dashboards to drive business insights.
You will play a key role in:
This role delivers full lifecycle data initiatives, from requirements analysis and architecture design through development, testing, deployment, and ongoing optimisation. It captures and validates business and system requirements. The role leads discussions with stakeholders, maintains robust documentation, and supports the team in articulating requirements while also developing reports and dashboards to drive business insights.
You will play a key role in:
- Capture, validate, and document business and system requirements ensuring alignment with strategic principles and enterprise standards.
- Evaluate and recommend data formats and structures that enhance storage efficiency, scalability, and query performance for large datasets.
- Lead stakeholder discussions on functional and technical design, covering components, frameworks, interfaces, and integration patterns.
- Develop and maintain business intelligence assets including reports, dashboards, and metrics to enable data-driven decision‑making. Identify gaps in business processes, document improvement opportunities, and share findings to guide optimisation initiatives.
- Bachelor’s degree in information systems, Computer Science, Data/Software Engineering, or related discipline (or equivalent experience).
- Demonstrated background in business analysis and data analysis within data‑centric environments in banking or financial services sector as well as experience working with large datasets, data warehouses, or cloud‑based data ecosystems.
- Ability to capture, analyse, and document complex business and system requirements.
- Solid understanding of data modelling, data warehousing, and enterprise data architecture principles.
- Expertise in facilitating technical and non‑technical stakeholder discussions.
- Familiarity with requirement‑gathering frameworks (use cases, user journeys, epics/stories).
- Familiarity with ETL tools like Azure Data Factory, Databricks etc.
- You will be a part of a diverse collective of free-thinkers, entrepreneurs and industry experts. You will love the exposure to the scale of transformation, the depth of expertise, and the opportunities for growth.
- We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people.
- At the heart of our mission is your career growth. You will have countless learning and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications crafted to support you in exploring a world of opportunities.
- We realise a Total Reward package should be more than just compensation. We offer a range of core and flexible benefits and have a Peer Recognition Portal called ‘Celebrate’.
- We don’t just believe in inclusion we actively go out to making it a working reality. Driven by our core values and ‘Inclusive future for all’ campaign, we build environments where you can bring your whole self to work.
Key Skills
Ranked by relevance
data warehousing
data analysis
storage
etl
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- Posted
- Feb 18, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Melbourne
- Company
- Capgemini
Industries
IT Services
IT Consulting
Categories
Analyst
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3 roles aligned with this opportunity
View Job Details
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2026-04-11
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Data Analyst - Advertising
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Business Analyst.
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