Data Analyst (Field Collection)

 Posted 4 hours ago
     
2-5 years experience
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AI Summary

The role focuses on ensuring the integrity and consistency of collection-related datasets by investigating discrepancies and fixing data pipelines. The analyst will collaborate with internal stakeholders and engineering teams to improve reporting efficiency and document data processes.

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

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