Data Analyst

Posted 58 Minutes Ago
Be an Early Applicant
2 Locations
Hybrid
Entry level
Information Technology • Software
The Role
Analyze large datasets to identify trends, patterns, and insights that support business decisions. Develop dashboards and reports, validate data quality, perform forecasting and predictive modeling, collaborate with stakeholders, improve analytics processes, and uphold data governance standards. The role requires strong communication skills and proficiency with data analysis languages and business intelligence tools in an agile environment.
Summary Generated by Built In
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 TypeEmployee

Time TypeFull time

Skills Required

  • Proficiency in analyzing large datasets and extracting meaningful insights
  • Strong problem-solving abilities and attention to detail
  • High proficiency in SQL, Python, or R
  • Experience with BI tools such as QuickSight, Tableau, or Power BI
  • Understanding of statistical concepts and forecasting or predictive modeling methods
  • Ability to communicate complex findings to technical and non-technical stakeholders
  • Experience creating visually compelling reports and dashboards
  • Ability to adapt to evolving business requirements and technology
  • Commitment to staying current with data analytics trends and best practices
  • Ability to work under pressure and deliver business value quickly
  • Experience with Jira and agile working environments
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Melbourne, Victoria
2,000 Employees
Year Founded: 1993

What We Do

We're a global team of 2,300+ 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 that's making it easier to love financial services.

Similar Jobs

Flo Energy Logo Flo Energy

Data Analyst

Energy • Utilities • Renewable Energy
In-Office
Melbourne, Victoria, AUS
148 Employees
In-Office or Remote
3 Locations
49 Employees

Crown Resorts Limited Logo Crown Resorts Limited

Data Analyst

Events • Gaming • Travel • Hospitality
In-Office
Melbourne, Victoria, AUS
11772 Employees
Hybrid
Richmond East, Victoria, AUS
7013 Employees

Similar Companies Hiring

Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees
Revel.io Thumbnail
Aerospace • Hardware • Robotics • Software
US
50 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software • Productivity
US
15 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account