Data Analyst: BI, Dashboards & Predictive Insights

Nearheal Pty Ltd (trading as Nearheal); Sydney; Hybrid; AUD 95,000 - 130,000; Full time

Benefits offered by this job

8 additional paid days – weekends

Referral bonus

School leave

Parental leave (up to 26 weeks)

Part-time return option

Charity leave (3 days/year)

Health insurance discount

Udemy learning access

Job summary

Iress is seeking a Data Analyst in Sydney to join the Business Intelligence team, transforming raw data into actionable insights. You will analyze large datasets, identify patterns, and deliver reports and dashboards to support decisions across the organisation.

You will work with stakeholders, build forecasts, ensure data quality, and automate reporting. Proficiency in SQL and Python/R, plus BI tools like Power BI or Tableau, are essential.

Qualifications

• Experience analysing large datasets to extract actionable insights.
• Strong problem-solving and attention to detail.
• Proficiency in SQL and at least one of Python or R.
• Experience with BI tools (Power BI/Tableau/Quicksight).
• Ability to communicate findings to technical and non-technical audiences.

Responsibilities

• Conduct in-depth analysis of large datasets to uncover trends, patterns, and correlations.
• Develop and maintain reports and dashboards presenting KPIs and performance metrics.
• Collaborate with cross-functional teams to clean and validate data.
• Forecasting & Predictive Modeling to forecast future trends and inform decisions.
• Work closely with stakeholders to understand analytical needs and provide insights.
• Identify opportunities to improve data processes and reporting mechanisms.
• Uphold data governance and quality standards.

Skills

Data analysis

SQL

Python/R

Stakeholder communication

Data storytelling

Tools

Power BI

Tableau

Quicksight

Job description

Iress is seeking a Data Analyst in Sydney to join the Business Intelligence team, transforming raw data into actionable insights. You will analyze large datasets, identify patterns, and deliver reports and dashboards to support decisions across the organisation.

You will work with stakeholders, build forecasts, ensure data quality, and automate reporting. Proficiency in SQL and Python/R, plus BI tools like Power BI or Tableau, are essential.