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Data AnalystIress · 2 Locations
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Iress

company page ↗ Visa Sponsoring Company

Data Analyst

✓ This company has sponsored visas before. The posting doesn't say so, but it's still worth applying.

🗓️ Posted 2026-09-15 2 Locations Full-time Hybrid ICT
💰 Salary Not shared 📊 Market A$6,667–A$10,000/mo

About the Company

The people building the software that helps the financial services industry perform at its best. We're a global team of 2,000+ people building software that helps the financial services industry perform at its best. From the world's most iconic financial services brands to advice firms of all sizes, challenger banks, insurers, investment managers, traders and brokers, more than 10,000 businesses and half a million people use our software to help them perform better and deliver more. We operate across Asia Pacific, United Kingdom and Europe, North America and Africa. Follow or join the tech crew making it easier to love financial services. iress.com Software Development Specialties: Market Data, Order Management Systems, Portfolio management software, Wealth Management, Insurance Solutions, Remuneration management software, Private wealth management software, Order Routing, Mortgage software, Sourcing software, Financial planning software, Wealth Management software, Lending software, Trading software, Consultancy, Financial technology, Software training

Responsibilities

  • ● See yourself being part of a large, transformational change This could be the role for you
  • ● At Iress, we make things happen
  • ● 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. More than 10,000 businesses and 500,000 people use our software, from the world's most iconic financial services brands to advice firms of all sizes, banks, insurers, investment managers, traders and brokers. Iress is one of Australia's largest technology companies and employs more than 2,000 people across Australia, The United Kingdom, Africa, Canada, France, New Zealand and Asia.
  • ● Build your career at Iress As a Data Analyst within our dynamic Business Intelligence team, you will play a crucial role in transforming raw data into actionable insights. Your primary responsibility will be to analyse large datasets, extract meaningful patterns, and provide valuable insights that contribute to informed decision-making across the organisation. This role is instrumental in shaping our data-driven approach and ensuring the efficient functioning of our business intelligence processes.
  • ● Some of the awesome things you'll be involved with:
  • ● Conduct in-depth analysis of complex datasets to uncover trends, patterns, and correlations. Translate data into meaningful insights that support strategic business decisions.
  • ● Develop and maintain reports and dashboards to present key performance indicators (KPIs) and performance metrics. Ensure accuracy, relevance, and timeliness in reporting.
  • ● Collaborate with cross-functional teams to clean and validate data, ensuring data integrity and consistency. Identify and rectify data anomalies and discrepancies.
  • ● Forecasting & Predictive Modeling: Utilize statistical methods and predictive modeling techniques to forecast future trends, enabling proactive decision-making.
  • ● Work closely with stakeholders, including business leaders, to understand their analytical needs and provide insights that drive business strategy.
  • ● Proactively identify opportunities to enhance data processes, reporting mechanisms, and analytical tools. Implement improvements to increase efficiency and accuracy.
  • ● Uphold data governance standards and best practices. Contribute to the development and enforcement of data quality policies.
  • ● What you will bring:
  • ● Proficient in analysing large datasets, identifying trends, and extracting meaningful insights.
  • ● Strong problem-solving abilities with attention to detail.
  • ● High proficiency in data analysis tools and languages such as SQL, Python, or R.
  • ● Understanding of statistical concepts and methods for forecasting and predictive modeling.
  • ● Ability to communicate complex findings in a clear and concise manner to both technical and non-technical stakeholders.
  • ● Ability to adapt to evolving business requirements and technological advancements in the field of data analytics.
  • ● Demonstrated commitment to staying updated on industry trends, emerging technologies, and best practices in data analytics.