Senior Data Analyst
Posted Today 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, collaborating with cross-functional teams, and supporting data-driven initiatives across cloud-based environments. The analyst will also develop SQL queries and produce insights using BI tools to meet stakeholder requirements. This is a 6-month contract based in Melbourne, requiring significant experience in investment management and data analytics.
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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