Impact Analytics Engineer | Hybrid | Snowflake & Power BI

Cancer Council VIC; Melbourne; Hybrid; AUD 89,000 - 99,000; Full time

Benefits offered by this job

Flexible and hybrid work

Salary packaging benefits

Study support and learning programs

Generous leave

Job summary

Cancer Council Victoria is seeking a data analytics specialist to grow our centralised Digital Team. You will design, build and maintain enterprise Power BI dashboards and reports to visualise data assets and support decision-making.

You will explore data sets for trends and anomalies, contribute to statistical models, and help optimise data pipelines on the SNOWFLAKE platform, partnering with stakeholders to improve data quality and governance.

Qualifications

• Relevant tertiary degree in Data Engineering or related field and/or experience in Data and Analytics role.
• Strong understanding of data manipulation, data structures, and algorithms.
• Proficiency with SNOWFLAKE cloud platform.

Responsibilities

• Design, build and maintain enterprise Power BI dashboards and reports to visualise data sets.
• Explore data sets to identify trends, patterns, and anomalies including data model optimisation in SNOWFLAKE.
• Contribute to the development and implementation of statistical models and algorithms.
• Assist in building and maintaining data pipelines for efficient FABRIC ELT/ETL utilising SNOWFLAKE cloud data warehouse platform.
• Collaborate with stakeholders and teams to improve data quality assurance efforts to ensure accuracy and reliability of data.
• Help identify opportunities for process improvement and data-driven decision-making.

Skills

Python

SQL

R

Education

Bachelor's degree in Data Engineering or related field

Tools

Snowflake

Power BI

DAX

Job description

Cancer Council Victoria is seeking a data analytics specialist to grow our centralised Digital Team. You will design, build and maintain enterprise Power BI dashboards and reports to visualise data assets and support decision-making.

You will explore data sets for trends and anomalies, contribute to statistical models, and help optimise data pipelines on the SNOWFLAKE platform, partnering with stakeholders to improve data quality and governance.