About the role

As a Data Operations, you will serve as a critical quality control function within our data team. Your primary focus will be validating the outputs of our dbt-based borrowing base pipelines against counterparty reports, identifying discrepancies, and determining causes. You will work closely with our Analytics Engineering team to investigate and resolve data issues, ranging from straightforward fixes you handle independently to more complex problems requiring escalation with clear documentation.

This role is foundational to building out our India-based data operations function. While you will start as a senior individual contributor, there is a clear path to growing and leading a team of 3-5 analysts as we scale.

Responsibilities:
Reconciliation & Validation

Compare outputs from dbt borrowing base pipelines against counterparty reports to identify discrepancies in loan-level data, collateral values, and portfolio metrics
Investigate and document the root cause of variances, distinguishing between data quality issues, pipeline logic errors, and legitimate counterparty differences
Develop and maintain reconciliation checklists and validation procedures for each borrowing base facility

Issue Resolution

Resolve straightforward data issues independently, including minor data corrections and known edge cases
For complex issues, prepare detailed documentation of findings and escalate to Analytics Engineers with clear context and recommendations
Over time, contribute minor fixes and pull requests to dbt models as you develop deeper pipeline familiarity

Pipeline Monitoring

Monitor dbt pipeline runs and flag failures or anomalies to the appropriate team members
Triage pipeline errors by reviewing logs and test failures, providing initial diagnosis before escalation

Documentation & Communication

Maintain clear records of reconciliation results, discrepancy resolutions, and recurring issues
Communicate findings to Analytics Engineers, Operations, and other stakeholders in a clear, structured manner
Coordinate with external counterparties as needed to resolve data-related questions

RequirementsWhat we are looking for:

4+ years of experience in data analysis, data quality, reconciliation, or a related role
Advanced SQL skills with experience querying complex data sets and troubleshooting data issues
Experience working with financial data sets (lending, FinTech, financial services, or related industries)
Strong analytical and problem-solving skills with keen attention to detail
Excellent written and verbal communication skills, with the ability to document findings clearly and explain technical issues to non-technical stakeholders
Self-directed with the ability to work independently and manage priorities across multiple facilities

Nice to Have:

Familiarity with dbt (Data Build Tool) or willingness to learn quickly
Experience with Snowflake or similar cloud data warehouses
Exposure to Git workflows and version control basics
Understanding of borrowing base mechanics, collateral management, or warehouse lending
Python proficiency (Pandas or similar) for ad-hoc analysis
Experience in a reconciliation, audit, or data quality assurance function

Associate Data Operations

About the role

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