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.

Responsibilities:

• 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