Data Operations Analyst (Bank Data Extraction)

About the role

Hunt St connects Australian companies with top remote talent in the Philippines. It is recruiting a Data Operations Analyst for a financial institution in Brisbane, Australia, which wants to monitor and manage the health and accuracy of its proprietary bank data extraction platform. The role is fully remote, 9am-5:30pm Brisbane time, paid up to AUD 2,500 per month, and is offered as an independent contractor agreement.

Key responsibilities

• Monitor scraper health dashboards daily and diagnose root causes of scraper failures such as website layout or authentication changes
• Use the GUI-based scraper configuration tool to re-target HTML elements and restore broken scrapers
• Maintain logs of recurring issues and escalation steps, and escalate complex problems to engineering with documented reproduction steps
• Review extracted data for completeness, accuracy and consistency, and resolve anomalies, missing fields, duplicates and formatting issues
• Apply data quality rules, run spot-checks and reconciliations, and document quality findings and metrics
• Maintain runbooks and SOPs, and communicate clearly with stakeholders about outages and data quality concerns

Required profile

• 2-4 years of experience in a technical operations, data operations, QA or similar analyst role
• Solid understanding of how websites work, including HTML structure, DOM elements and browser rendering
• Experience with structured data (tables, CSVs) and validating it against expected formats or rules
• Ability to follow documented processes and SOPs, and clear written and verbal communication

Required skills

• Browser developer tools (e.g. Chrome DevTools) to inspect elements and find CSS selectors or XPaths
• Nice to have: SQL, Regex, web scraping tools, RPA platforms, ticketing systems (Jira, Linear, Notion) and basic data pipeline concepts