Senior Data Analyst - QA & BI Insights

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

Benefits offered by this job

18 weeks paid parental leave

Long & short-term career breaks

Structured career development program

Local and international career options

Family Inclusive Workplace™

Job summary

Accenture in Sydney is seeking a Data Analyst - QA to analyse complex datasets, develop dashboards, and support data-driven decision making. You will work with stakeholders to translate requirements into analytical solutions and contribute to data governance and quality initiatives.

The role focuses on reporting, analytics, and continuous improvement across data management practices, offering opportunities to engage with multiple business units and data engineers in a hybrid delivery environment.

Qualifications

• 5+ years’ experience in Data Analysis, BI, Reporting, or data-focused roles.
• Strong experience in SQL and querying large datasets across multiple sources.
• Experience developing dashboards and reports using Power BI, Tableau, or similar tools.
• Strong data analysis, validation, quality, and reporting best practices.

Responsibilities

• Analyse, interpret, and validate complex datasets to identify trends and insights.
• Develop, maintain, and enhance reports, dashboards, and performance metrics.
• Gather, document, and translate business requirements into analytical solutions.
• Perform data profiling, cleansing, reconciliation, and validation for data quality.

Skills

SQL

Power BI

Tableau

Data quality

Stakeholder comms

Agile/Hybrid

Tools

SQL databases

Data warehouses

Job description

Accenture in Sydney is seeking a Data Analyst - QA to analyse complex datasets, develop dashboards, and support data-driven decision making. You will work with stakeholders to translate requirements into analytical solutions and contribute to data governance and quality initiatives.

The role focuses on reporting, analytics, and continuous improvement across data management practices, offering opportunities to engage with multiple business units and data engineers in a hybrid delivery environment.