Description:
Key Responsibilities
Based on standardized SQL Analyst role expectations and Australia‑specific data analyst duties:
- Extract, transform, and load (ETL) data from multiple sources using SQL.
- Develop and maintain SQL queries, stored procedures, and custom reports .
- Conduct complex data analysis and present insights to stakeholders.
- Build and optimize data models, dashboards, and reporting frameworks (common in Sydney job listings)
- Ensure data quality, integrity, and governance across systems.
- Identify trends and patterns in large datasets to support decision‑making.
- Collaborate with management to determine business‑critical data needs.
- Use statistical techniques for analysis and forecasting.
Document processes, maintain clear technical documentation, and report progress.
Required Skills & Tools
- Strong proficiency in SQL (queries, joins, stored procedures, optimization).
- Experience with Excel, Python or R, Tableau or Power BI – all common in Australian roles.
- Understanding of database structures, ETL workflows, and data warehousing .
- Knowledge of statistics, algorithms, and data modeling.
- Familiarity with cloud data platforms (AWS, Azure, GCP), increasingly required in 2026 roles.
- Strong communication skills to translate technical insights into business language.
Typical Qualifications
- Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, Finance, or a related field.
- Relevant certifications (e.g., SQL, BI, cloud certifications), which can boost compensation and competitiveness.
28 Jan 2026;
from:
linkedin.com