Senior Analytics Engineer & Data Leader

PwC; Sydney; On-site; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Leadership development

Parental leave (26 weeks)

Flexible work arrangements

Inclusion & Diversity programs

Job summary

PwC Australia is seeking an Analytics Engineer to turn managed services data into trusted data products, enabling delivery decisions and executive reporting. You will model data, define metrics, and ensure quality, delivering reusable datasets and insights across platforms.

You will collaborate with data engineering, business analysis and analytics teams to build semantic layers, dashboards and automation that drive improved service operations and strategic decisions.

Qualifications

• Experience in analytics engineering or a modern data role.
• Advanced SQL with trusted analytical datasets in cloud environments.
• Experience with data transformation frameworks, version control, CI/CD, testing and analytics lifecycle.
• Experience defining KPIs, semantic layers, dashboards or self-service reporting assets.
• Experience with operational or managed-service data is preferred.

Responsibilities

• Analytics data modelling and transformation across platforms.
• Own KPI definitions, semantic layer, and data quality checks.
• Develop dashboards and reporting to support delivery decisions.
• Support AI-enabled analytics and automation initiatives.
• Collaborate between data engineering, business analysis and analytics.

Skills

Analytics engineering

Data modelling

Advanced SQL

Python

CI/CD

Data quality

Data governance

Tools

dbt

Cloud data warehouse

BI platforms

Version control

Job description

PwC Australia is seeking an Analytics Engineer to turn managed services data into trusted data products, enabling delivery decisions and executive reporting. You will model data, define metrics, and ensure quality, delivering reusable datasets and insights across platforms.

You will collaborate with data engineering, business analysis and analytics teams to build semantic layers, dashboards and automation that drive improved service operations and strategic decisions.