Hybrid Data Specialist: Learning for Life Analytics

The Smith Family; Queensland; Hybrid; AUD 85,000 - 110,000; Full time

Benefits offered by this job

Flexible work options

Salary packaging

Purchase additional annual leave

Career opportunities

Parental leave

Wellbeing programs

Job summary

The Smith Family is seeking a Data Specialist to join our Learning for Life Customer Support and Administration team. You will manage, analyze and maintain operational data across multiple systems to support scholarships and programs, ensuring accuracy and identifying trends for improvement.

This role offers hybrid work, flexible arrangements, opportunities for career development, and a strong focus on data quality and service delivery.

Qualifications

• Experience analyzing complex datasets to identify trends, anomalies, risks or opportunities, and using findings to support operational outcomes and decision-making.
• Experience maintaining data integrity through validation, cleansing, reconciliation and quality assurance activities across multiple systems.
• Strong capability with databases, CRMs and information systems to manage, process and maintain information across multiple platforms.

Responsibilities

• Analyse operational data to identify trends, risks, anomalies and service delivery issues
• Validate, reconcile and maintain data integrity across multiple systems
• Manage data imports, exports and system processing activities
• Monitor service level agreements and support reporting requirements
• Undertake complex data entry and record maintenance activities
• Identify opportunities to improve processes, reporting and data quality
• Support special projects and continuous improvement initiatives

Skills

Data analysis

Data interpretation

Data integrity

Multi-system proficiency

Analytical thinking

Tools

Databases

CRMs

Information systems

Job description

The Smith Family is seeking a Data Specialist to join our Learning for Life Customer Support and Administration team. You will manage, analyze and maintain operational data across multiple systems to support scholarships and programs, ensuring accuracy and identifying trends for improvement.

This role offers hybrid work, flexible arrangements, opportunities for career development, and a strong focus on data quality and service delivery.