CG - Data Operations Analyst (006-00179)

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 
• →Apply defined data quality rules and flag exceptions for review 
• →Perform periodic spot-checks and reconciliations to verify data integrity across sources
• →Document data quality findings and maintain quality metrics over time

Process & Documentation 

• →Maintain up-to-date runbooks and SOPs for common scraper issues and data validation procedures 
• →Contribute to the improvement of monitoring alerts and quality check frameworks
• →Communicate clearly with internal stakeholders about outages, delays, or data quality concerns 

• 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 
• Experience working with structured data (tables, CSVs, or similar) and validating data against expected formats or rules 
• Ability to follow and contribute to documented processes and standard operating procedures
• Clear written and verbal communication skills, including the ability to document issues and escalate effectively 

Nice to Have 

• Experience with financial data, banking systems, or fintech environments 
• Familiarity with SQL, Regex, or basic data querying for validation and investigation purposes
• Exposure to web scraping tools, RPA platforms, or automation workflows 
• Experience using ticketing or task management systems (e.g., Jira, Linear, Notion)
• Understanding of basic data pipeline concepts - ingestion, transformation, and delivery 

What Success Looks Like 

In your first 90 days, you will have learned our scraper platform end-to-end,  resolved your first independent scraper outages, and established a consistent rhythm of daily monitoring and data quality checks. Within 6 months, you will be the go-to person for operational health across our data extraction pipeline, proactively identifying fragile scrapers before they break and driving measurable improvements in our data completeness and accuracy rates. 

Who You Are 

• You are naturally curious about how things work under the hood — especially websites and data systems
• You are methodical and thorough; you don't just fix the symptom, you understand the cause
• You take ownership: if a scraper is broken and data isn't flowing, it bothers you until it's resolved
• You communicate proactively - you keep stakeholders informed without being asked
• You thrive in a structured environment but can adapt when things change unexpectedly

Work Arrangement & Expectations:

 This is a remote role that will be set up as an independent contractor engagement.

  To ensure alignment and transparency, successful candidates will be expected to:

• Disclose any existing ongoing roles or client work
• Reflect this engagement on their LinkedIn profile (clearly marked as “Independent Contractor”)