Senior Data Analyst
Posted 2 weeks ago by Hydrogen Group
Negotiable
Undetermined
Undetermined
Melbourne, Victoria
Summary: The Senior Data Analyst role focuses on enhancing data quality and investment reporting within an established Australian financial services organization. The position involves analyzing large datasets, improving data governance, and supporting cloud-based data initiatives. The analyst will collaborate with various teams to produce insights and optimize data platforms. This is a 6-month contract based in Melbourne, requiring significant experience in financial services investment environments.
Key Responsibilities:
- Analyse and validate large datasets to support investment analytics, reporting, and operational decision-making.
- Partner with business and technology teams to improve data quality, governance, and reporting outcomes.
- Support the ongoing enhancement of enterprise data platforms and integration processes.
- Develop and maintain SQL queries, analytical models, and reporting solutions.
- Assist with the delivery of data-driven initiatives across cloud-based data environments.
- Produce insights and visualisations using BI and analytics tools to support stakeholder requirements.
- Collaborate with cross-functional teams to identify opportunities for process improvement and operational efficiency.
Key Skills:
- 5+ years’ experience as a Data Analyst.
- Prior experience working within investment management, asset management, wealth management, or broader financial services investment environments.
- Strong analytical and problem-solving capability with the ability to interpret complex datasets.
- Exposure to modern cloud and data platform ecosystems such as AWS, Snowflake, or Azure.
- Experience supporting or contributing to data quality and data governance initiatives.
- Proficiency in SQL and confidence working with large-scale datasets.
- Familiarity with analytical and visualisation tools including Power BI, Tableau, Python, R, or advanced Excel.
- Strong communication skills with the ability to engage effectively with both technical and business stakeholders.
Salary (Rate): £750 daily
City: Melbourne
Country: Australia
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: Senior
Industry: Finance
Role:
Senior Data Analyst – Investment & Data Platforms
Duration: 6 months
Location: Melbourne
Daily rate: $850 - $900
Organisation
· An established Australian financial services organisation is seeking a skilled Data Analyst to join a growing data and investment analytics function. This role will play a key part in supporting data quality, investment reporting, platform optimisation, and analytical initiatives across the business.
Key Responsibilities
· Analyse and validate large datasets to support investment analytics, reporting, and operational decision-making.
· Partner with business and technology teams to improve data quality, governance, and reporting outcomes.
· Support the ongoing enhancement of enterprise data platforms and integration processes.
· Develop and maintain SQL queries, analytical models, and reporting solutions.
· Assist with the delivery of data-driven initiatives across cloud-based data environments.
· Produce insights and visualisations using BI and analytics tools to support stakeholder requirements.
· Collaborate with cross-functional teams to identify opportunities for process improvement and operational efficiency.
Experience
· 5+ years’ experience as a Data Analyst
· Prior experience working within investment management, asset management, wealth management, or broader financial services investment environments is essential.
· Strong analytical and problem-solving capability with the ability to interpret complex datasets.
· Exposure to modern cloud and data platform ecosystems such as AWS, Snowflake, or Azure.
· Experience supporting or contributing to data quality and data governance initiatives.
· Proficiency in SQL and confidence working with large-scale datasets.
· Familiarity with analytical and visualisation tools including Power BI, Tableau, Python, R, or advanced Excel.
· Strong communication skills with the ability to engage effectively with both technical and business stakeholders.
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