Data Analyst (Field Collection)
We're looking for a Data Analyst who's genuinely into data quality - someone who gets uncomfortable when numbers don't add up and won't rest until they find out why.
You'll be the person keeping our collections data clean, consistent, and trustworthy - digging into discrepancies, fixing pipelines, supporting internal teams, and making sure the reports people rely on actually reflect reality.
Your Future Responsibilities Await:
Ensure data quality, consistency, and integrity across collection-related datasets and reports
Monitor and investigate data discrepancies, identify root causes, and implement fixes
Handle and resolve data-related requests and issues from internal stakeholders (collections team, operations, etc.)
Maintain and improve existing data pipelines, queries, and dashboards
Perform regular data validation and reconciliation checks
Collaborate with engineering and data teams to address systemic data issues
Document data definitions, processes, and known issues
Proactively identify opportunities to improve data quality and reporting efficiency
What we expect from candidate:
Strong proficiency in SQL
Experience working with large datasets and data validation processes
Solid understanding of data quality principles and best practices
Analytical mindset with strong problem-solving skills
Ability to investigate issues end-to-end and identify root causes
Good communication skills and ability to work with non-technical stakeholders
Attention to detail and high level of accuracy
Experience in fintech, lending, or collections domain is a plus
You'll be the person keeping our collections data clean, consistent, and trustworthy - digging into discrepancies, fixing pipelines, supporting internal teams, and making sure the reports people rely on actually reflect reality.
Your Future Responsibilities Await:
Ensure data quality, consistency, and integrity across collection-related datasets and reports
Monitor and investigate data discrepancies, identify root causes, and implement fixes
Handle and resolve data-related requests and issues from internal stakeholders (collections team, operations, etc.)
Maintain and improve existing data pipelines, queries, and dashboards
Perform regular data validation and reconciliation checks
Collaborate with engineering and data teams to address systemic data issues
Document data definitions, processes, and known issues
Proactively identify opportunities to improve data quality and reporting efficiency
What we expect from candidate:
Strong proficiency in SQL
Experience working with large datasets and data validation processes
Solid understanding of data quality principles and best practices
Analytical mindset with strong problem-solving skills
Ability to investigate issues end-to-end and identify root causes
Good communication skills and ability to work with non-technical stakeholders
Attention to detail and high level of accuracy
Experience in fintech, lending, or collections domain is a plus