Data Analyst

A leading provider of fully integrated human resource services is inviting Expressions of Interest (EOI) for a ‘Data Analyst’ role across all levels
 
Position:           Data Analyst                
Type:               Permanent
Salary:             Depending on experience
Location:          Sydney, CBD
Work type:        Hybrid

 
Responsibilities:
Data Collection & Preparation:

• Gather data from various sources, including databases, spreadsheets, and external systems.
• Clean, manipulate, and process raw data to prepare it for analysis (ETL: Extract, Transform, Load processes).
• Ensure data quality and integrity, identifying any anomalies or inconsistencies.

 
Data Analysis:

• Analyse large datasets to identify trends, patterns, and actionable insights.
• Monitor key performance indicators (KPIs) and provide data-driven recommendations to improve business operations.

 
Data Visualization:

• Present analysis results through dashboards, graphs, and reports using tools like Power BI or Excel.
• Communicate complex data in an easy-to-understand way for non-technical stakeholders.

 
Reporting:

• Create regular and ad-hoc reports on business performance, customer behaviour, market trends, etc.
• Collaborate with business leaders to interpret data insights and assist in strategic planning.

 
Collaborative Work:

• Work closely with other departments (e.g., finance, marketing, product development) to understand their data needs.
• Support decision-making by providing timely and accurate data analysis.
• Engage with data engineers and IT teams to improve data pipelines and reporting processes.

 
Tool & Software Use:

• Use SQL for database querying.
• Utilize data visualization tools (e.g., Power BI, Tableau) to create dashboards and reports.

 
Data Governance:

• Ensure data is compliant with privacy laws and corporate data governance standards.
• Implement and follow best practices for data management and reporting.

 
Qualifications and Experience:

• Degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
• Proficiency in SQL for querying databases.
• Familiarity with data visualization tools (e.g., Power BI, Tableau, Excel).
• Strong knowledge of data structures, relational databases, and data warehousing.
• Ability to think critically and solve complex problems using data.
• Able to translate technical data findings into actionable business insights.
• Ensure high accuracy and quality in all aspects of data handling.
• Preferably someone with 1-2 years of experience in a data analysis role.
• Experience in using Fieldglass and SAP Ariba is advantageous but not required.

 
 
If this position sounds of interest, please apply. Those candidates meeting the relevant criteria will be contacted for a confidential discussion.