Hunt St
CG - Data Operations Analyst (006-00179)
Remote role where the employee must remain based in a particular country.
Philippines only
Employer listed it 3 weeks ago · Found 1h ago
Been open since 3 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
Philippines only
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Data
This employer didn't state pay. Jobs like this usually pay around $105k–$195k a year, a typical range taken from 255 mid-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in Philippines. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Philippines, Remote"
- Job description states: "Philippines-based"
What Nomaders makes of it
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
Looking for Filipino (Philippines-based) candidates
Job Role: Data Operations Analyst
Work Schedule: This is a full-time role 9am-5:30pm Brisbane Australia Timezone - (GMT+10)
Engagement type: Independent Contractor Agreement
Compensation range: Up to 2500 / AUD Monthly
Who We Are: At Hunt St we help Australian companies directly hire top 5% remote talent in the Philippines. You will be hired directly by the client, typically as an independent contractor. We are not an outsourcing agency. All of our roles are 100% remote so you'll be able to work from home.
Who The Client Is: The client is a financial institution in Brisbane, Australia who is passionate about using data and analytics to help millions of people across Australia, New Zealand and Canada improve their lives through their financial data. They are looking for a Data Operations Analyst to join their team to monitor and manage the health and accuracy of their proprietary bank data extraction platform.
Why Join Us:
● Make a Difference: Help build a solution used by millions of people.
● Collaborate and Innovate: Join a team doing big things with data in the Fintech industry.
● Grow Your Career: Surround yourself with supportive and motivated teammates, and enjoy flexible, remote work.
Role Overview:
We are looking for a detail-oriented Data Operations Analyst to join our team. In this role, you will be responsible for monitoring the health and accuracy of our proprietary bank data extraction platform, diagnosing and resolving issues when scrapers break or drift, and ensuring the quality and completeness of the financial data we deliver to our clients.
This is a hands-on technical operations role. You will work daily with our GUI-based scraper configuration tool and become an expert in navigating banking website structures to keep our data pipelines running smoothly. No coding is required - but a sharp eye for detail, comfort with web technologies, and a systematic approach to problem-solving are essential.
Key Responsibilities:
Scraper Monitoring & Issue Resolution
Monitor scraper health dashboards daily to identify failed, stalled, or degraded data extractions
Diagnose root causes of scraper failures - including banking website layout changes, authentication changes, or element restructuring
Use the GUI-based scraper configuration tool to re-target HTML elements and restore broken scrapers to full operation
Maintain a log of recurring issues, failure patterns, and resolution steps to support continuous improvement
Escalate complex or systemic issues to the engineering team with clear, documented reproduction steps
Data Quality & Validation
Review extracted data for completeness, accuracy, and consistency against expected values
Investigate and resolve data anomalies, missing fields, duplicated records, and formatting inconsistencies
Requirements
- ·Required Skills and Qualifications:
- ·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 how browsers render web pages
- ·Comfortable using browser developer tools (e.g. Chrome DevTools) to inspect page elements and identify CSS selectors or XPaths
- ·Strong analytical mindset with high attention to detail - able to spot data anomalies and inconsistencies quickly
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Hunt St, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 2h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open data roles with comparable remote rules.
Free to apply, no account needed.
Typically $105k to $195k per year · You'll be taken to the employer's careers page.