See yourself being part of a large, transformational change? This could be the role for you!
Are you ready to kickstart your career in financial services technology?
As a Graduate Data Analyst, you will support the preparation, analysis and communication of data to produce reliable insights for business decisions. You will work within defined boundaries using standard methods while building your capability through practical experience, active learning and feedback. You will prepare data from approved sources, create accurate reports and visualisations, investigate routine data issues and communicate findings clearly to stakeholders. You will also help improve analytical workflows and use approved AI tools responsibly, validating outputs and protecting confidential information
What’s in It for you?
You’ll receive extensive on-the-job training and mentoring, allowing you to deepen your technical skills while learning about the fintech landscape. This role is perfect for those who thrive in problem-solving environments and are excited to work closely with clients to make an impact.
What we’re looking for
If you’re adaptable, committed to delivering outstanding support, and excited by the opportunity to learn and grow, we’d love to meet you. Join us in building the future of financial services with a team that values going beyond, acting smart, and winning together!
This role may occasionally involve after-hours work to support critical deployments.
Our Graduate Program is designed to support local talent and promote diversity in the workplace. We are therefore seeking applications from South African citizens aged 18 to 25, with no prior work experience, who belong to previously disadvantaged demographic groups.
Please note that only short-listed candidates will be contacted for further steps in the selection process.
Our aim is to offer permanent employment to graduates who excel in their role and add value to our team.
What you will do
- Prepare, clean and analyse data from approved sources to answer defined business questions.
- Apply standard analytical methods to identify trends, patterns and relevant insights.
- Document assumptions, methods and outputs so that analysis can be understood and reused.
- Produce accurate reports, dashboards and visualisations to agreed quality standards.
- Create clear narratives that help technical and non-technical stakeholders understand findings and make informed decisions.
- Validate data integrity, investigate anomalies and document the actions taken to resolve routine and moderately complex data issues.
- Escalate issues requiring specialist support in line with agreed processes.
- Collaborate with data engineering, business, product and analytics colleagues to clarify requirements and improve the usefulness of analysis.
- Identify practical improvements to analytical workflows, reusable queries and reporting processes.
- Use approved AI tools to automate routine preparation and assist analysis, while validating outputs, protecting confidential data and escalating concerns when needed.
What you will bring
Experience and Knowledge
- Demonstrated interest in using data to understand problems, identify patterns and support decisions.
- Exposure to spreadsheets, SQL, data visualisation or other analytical tools through academic work, projects, internships or personal learning.
- An interest in how data is prepared, governed, interpreted and communicated to different audiences.
- A willingness to work within defined methods, seek feedback and progressively take on more analytical responsibility.
Qualifications and certifications
A relevant degree or qualification in Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, Economics, Finance or a related field.
Professional Skills
- Preparing and analysing data using standard methods to identify trends and communicate insights.
- Producing accurate reports, dashboards and visualisations aligned to stakeholder needs.
- Creating clear visual narratives that support understanding and decision-making.
- Applying data-quality, validation and handling practices under guidance.
- Maintaining simple data structures, reusable queries and documented analytical outputs.
- Using approved AI tools responsibly by reviewing outputs, protecting data and escalating concerns.
Behavioural capabilities
- Completes defined analytical tasks with guidance and agreed reviews.
- Explains findings clearly and asks relevant questions when requirements or definitions are unclear.
- Suggests practical improvements to analysis, reporting and reusable workflows.
- Builds capability through active learning, feedback and knowledge sharing.
- Investigates data issues logically and communicates evidence-based conclusions.
- Handles data professionally and follows appropriate security, privacy and ethical controls.
Key Relationships
- Internal: Data Engineering teams, Business stakeholders, Product teams and Data & Analytics colleagues.
- External: Approved data providers, implementation partners or other external stakeholders where relevant to the role.
Why join us?
At Iress, we believe technology should help people perform better every day. Since our beginning in 1993, people across financial services have trusted us to take their performance to the next level. From the world’s most established financial brands to new and disruptive players, we help improve every aspect of our clients’ businesses so that they can work better, every day. Iress is one of Australia’s largest technology companies and employs more than 1900 people across Asia Pacific, North America, Africa and UK & Europe.
Our employee benefits are some of the best in the industry, supporting our people at every life stage. It means we work smarter, happier, and healthier with long weekends, flexible ways of working, generous parental leave, opportunities to participate in our local community initiatives and a connected team culture.
Iress is committed to fostering a welcoming and inclusive culture. We strongly believe that diversity is what makes our teams and our products succeed. Our people have different experiences, skills, perspectives and beliefs and everyone’s uniqueness is valued and celebrated. Even if you feel you don’t meet all of the requirements of the role, we would still like to hear from you!
Employment Type
Employee
Time Type
Full time