XTN-FC6A165

The CCSG group of companies has a purpose to provide a compliant and approachable collections and legal service to assist consumers reach financial freedom. Our vision is to be Australias leader in consumer debt recovery and legal recovery services. We value our people and their contribution to CCSG and as part of your role towards our company culture you will:

• Promote and adhere to the workplace values of CCSG that are Commitment Compliance Service and Greatness.
• Contribute positively to workplace morale and the development of an environment that supports each staff member to achieve their maximum potential.
• Maintain a positive and professional attitude towards customers suppliers and other staff.
• Perform any other reasonable and lawful duties that may be required or directed.
• Project a professional image when representing the company.
• Ensure the security and proper use of the companys assets.

• Day Shift
• GLI
• Health Insurance/HMO
• Enjoy unlimited MadMax Coffee
• Diverse learning & growth opportunities
• Accessible Cloud HR platform (Sprout)
• Above standard leaves

• Collect clean and preprocess data from internal and external sources to ensure accuracy completeness and consistency.
• Perform exploratory data analysis to identify trends anomalies and insights that drive business value.
• Apply statistical techniques and predictive modelling to analyse large datasets and uncover meaningful patterns and relationships.
• Design and create purposebuilt and scalable standardized reports. The tools used will include but not be limited to Excel Pivots Power Query and Power BI.
• Participate in the design and implementation of data analytics projects including experimental design hypothesis testing and A/B testing.
• Generate and distribute daily weekly and monthly reports in line with reporting timetables. Identify opportunities to improve system performance integration and analytics capabilities.
• Processing of debt load and direct payment files.
• Management and tracking of success rates for collection strategies and campaigns.
• Deliver enduser support and provide insights or direct how staff can find insights in reports.
• Take on ad hoc tasks from staff and meet their requirements

• Bachelor’s degree in Mathematics Statistics Computer Science Economics or related field.
• At least 3 years of experience working as a Data Analyst Data Engineer Business Intelligence Analyst or something similar.
• Experience in Power BI and Power Query. Proficient in Microsoft Office products including Outlook Sharepoint Teams and Excel.
• Proficiency in data manipulation and analysis using SQL Python R or similar programming languages.
• Strong analytical and problemsolving skills with the ability to translate complex data into actionable insights.
• Ability to work independently and collaboratively in a fastpaced dynamic environment.
• Excellent verbal and written communication skills.

• Basic knowledge of the debt collection process and how to measure key KPI’s.
• DebtCol functionality is a plus e.g. report building debt load mapping batch updates.
• Familiarity with database systems data warehousing concepts and ETL processes is a plus.