
Senior Data Analyst
- Sydney, NSW
- Permanent
- Full-time
- Provide leadership and mentorship to the Data team, fostering a collaborative environment and enhancing team skills.
- Lead analytics efforts and projects independently, including defining scope and approach.
- Manage projects to ensure timely delivery within scope and quality standards.
- Collaborate with stakeholders to enforce data quality and governance, assess and implement new technologies, and monitor analytics solution performance for continuous improvement.
- Develop and maintain data models and products that support advanced analytics and reporting requirements.
- Aim to uncover meaningful insights and deliver actionable business recommendations
- Drive and develop new dashboards when new products are launched.
- Continuously optimise data processes and workflows to improve efficiency, scalability, and reliability.
- Perform data analysis and profiling to identify data quality issues, inconsistencies, and gaps.
- Consolidate data accurately from various sources to conduct analysis and present findings & insights.
- In a team setting, add value to conversations to develop, construct, install, test, and maintain data architectures (databases, large-scale processing systems, and data pipelines) that support ETL and Data Visualisations processes.
- Write technical and release documentation including specifications, testing strategies, and performance benchmarks.
- Collaborate with leadership teams to understand data needs and define analytics requirements.
- Identify and make recommendations for improvement to existing processes and procedures.
- Endorse and advocate for the benefit of change initiatives to functional leaders.
- Master’s or PhD in Data Science, Statistics, Mathematics, or a related field.
- 6-9 years of relevant experience in data analytics.
- Strong business facing stakeholder management and project leadership skills.
- Proven ability to lead large-scale strategic analytics programs.
- Excel in teaching and directing others with a supportive and caring demeanor.
- Demonstrates expert proficiency in preparing data using a variety of tools and programming languages. (SQL, Python, R)
- Ability to effectively leverage big data platforms to maximize analytical value.
- Can design and create compelling visualizations to influence stakeholders.
- Able to identify opportunities and barriers, suggest solutions, and bring these to the attention of others, including those outside of the analytics team.
- Demonstrated expertise in data modelling, statistical analysis, and data blending.
- Deep understanding of industry trends and adjacent disciplines.
- Experience in designing and maintaining scalable data architectures and pipelines.
- Experience with customer usage data; how are subscribers using a system.
- Financial / Accounting background. Including monthly closing processes, adjustment processes, contract management, and variance analysis.
- Solid networking background: ability to design & troubleshoot firewall access & connectivity issues between systems.
- Extensive use of Databricks & the Medalion Architecture
- Extensive use of Amazon Redshift
- Business Events Data / Metadata Tagging Systems
- Python libraries central to Analytics & ML (Scikit-learn, NumPy, Pandas, Matplotlib, etc.)
- Strong knowledge of Power BI / Tableau
- Microsoft Fabric Ecosystem
- Database Management Tools (DBeaver, SSMS, etc.)
- Machine Learning & Predictive Analytics Modelling is Advantageous
- Optical Assistance
- Life assurance and income protection
- Option to buy additional Annual Leave days
- Employee Assistance Program
- Referral Bonus
- Flexible working arrangements
- Benefits for you and your family
- Access to learning and development resources