Data Analyst

Iress; Sydney; On-site; AUD 90,000 - 130,000; Full time

Benefits offered by this job

8 additional paid days per year to GC

Hybrid working

Generous referral bonus

Starting school leave

Parental leave (up to 26 weeks)

Part-time option

Charity leave 3 days

Discounted health insurance

Udemy learning access

Job summary

Iress is seeking a Data Analyst to join our Business Intelligence team in Sydney. You will transform large datasets into actionable insights, build reports and dashboards, and partner with stakeholders to drive data‑driven decisions. You’ll use SQL, Python or R, and BI tools to deliver accurate, timely analytics that support strategic initiatives.

This fast‑paced role values curiosity, collaboration, and continuous learning, with hybrid work options and strong learning resources.

Qualifications

• 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.
• Experience with BI tools (e.g. Quicksight, Tableau, Power BI) is essential.
• 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.
• Experience in creating visually compelling reports and dashboards.
• 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.
• Able to work well under pressure and at speed, focused on delivering business value.
• Experience with Jira and an agile working environment.

Responsibilities

• 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 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.

Skills

SQL

Python

Data analysis

Dashboards

Communication

Problem solving

Agile

Jira experience

Tools

Jira

Tableau

Power BI

QuickSight

Job description

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.
• Experience with BI tools (e.g. Quicksight, Tableau, Power BI) is essential.
• 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.
• Experience in creating visually compelling reports and dashboards.
• 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.
• Able to work well under pressure and at speed, focused on delivering business value.
• Experience with Jira and an agile working environment.

Why work with us?

• 8 additional paid days per year to extend your weekends
• Hybrid working
• Generous cash bonus for every successful referral
• Starting school leave - 8.5 days of leave to assist your children with the transition to school
• Up to 26 weeks’ paid parental leave for primary carers (up to 4 weeks for secondary carers), and the ability to work part-time when returning to work
• 3 days’ paid leave per year to participate in charity initiatives
• Discounted health insurance premiums
• Access to learning and development programs through Udemy

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. Our hiring decisions are never based on sexual orientation, race, gender identity, religion, disability, citizenship, marital or family status and age. Even if you feel you don’t meet all of the requirements of the role, we would still like to hear from you! We’re also proud to be globally recognised as a WORK180 Endorsed Employer that promotes and supports all women in the workplace. For more information about what we do, our people and values, please visit our website - https://www.iress.com/join-us/careers/ #LI-Hybrid Employment Type Employee Time Type Full time Get in touch Any questions? Contact the Iress recruitment team at: [e-mail]