Data Process Analyst

3 weeks ago

Council of the City of Sydney, Australia Talent International Full time

Our client is seeking a highly analytical Data Process Analyst with expertise in data mining / task mining to join their team. This role will focus on analyzing, optimizing, and automating business processes by leveraging data-driven insights.

Responsibilities

Conduct data mining / task mining to identify inefficiencies, redundancies, and optimization opportunities within business processes.

Translate complex datasets into actionable insights to support process transformation, automation, and operational improvements.

Collaborate with business stakeholders to map and document end-to-end processes, ensuring alignment with organizational objectives.

Design and maintain dashboards, reports, and visualizations to track performance metrics and process health.

Work closely with automation teams (RPA, AI, workflow tools) to validate opportunities and implement process improvements.

Ensure compliance with data governance, security, and quality standards while handling business data.

Support the development of business cases for process re-engineering and digital transformation initiatives.

Requirements

Proven experience in data mining, task mining, or process mining using tools such as ABBYY Timeline, UiPath Process Mining, Apromore, or similar.

- Background in business process analysis, operational excellence, or automation projects.

Strong knowledge of SQL, Python, R, or other data analytics languages for data extraction and transformation.

Familiarity with process improvement frameworks (Lean, Six Sigma, BPM, or equivalent).

Excellent analytical, problem-solving, and critical thinking skills.

Strong communication skills with the ability to present findings to both technical and non-technical audiences.

Experience working with large datasets, business workflows, or enterprise systems (ERP, CRM, BPM platforms) is highly desirable.

Exposure to RPA platforms (UiPath, Automation Anywhere, Blue Prism).

Knowledge of machine learning and predictive analytics for process optimization.

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