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Data Analytics & Reporting Analyst

KimohaTech🌍 Remote WorldwideEstimated: $80,000 - $120,000

✨ AI Insights & Summary

This role presents a significant opportunity for an experienced analyst to deeply engage with the U.S. mortgage market, a complex and critical sector of the financial industry. The position offers the chance to leverage modern data platforms and work closely with U.S. stakeholders, providing valuable exposure to international business operations. If you possess a strong analytical acumen and a passion for unraveling intricate financial data, this role is ideal for shaping data-driven strategies in a vital economic domain.

Data Analytics & Reporting Analyst

Location: India (Remote / Hybrid)
Experience: 3 Years - 15 Years

Overview

We are hiring a Data Analytics & Reporting Analyst with hands-on experience in the U.S. mortgage (loan origination and/or servicing) domain. This role will support analytics, reporting, and data operations for mortgage portfolios, working closely with onshore teams and leveraging modern data platforms.

Key Responsibilities

Mortgage Domain Analytics (Core Focus)

  • Work with U.S. mortgage datasets across loan origination and servicing lifecycle.
  • Analyze and report on key metrics such as:
  • UPB (Unpaid Principal Balance) and loan-level roll-forwards
  • Delinquency buckets (30/60/90+) and default trends
  • Prepayments (CPR), payoffs, and servicing cash flows
  • Loan pipeline, lock, funding, and pull-through metrics
  • Support remittance, payment, escrow, and transaction-level reporting.

Reporting & Dashboarding

  • Build and maintain dashboards using Sigma Computing, Tableau, or Power BI.
  • Deliver daily, weekly, and monthly reports for servicing and origination teams.
  • Automate recurring reporting workflows.

SQL & Data Processing

  • Develop SQL queries using Microsoft SQL Server and/or Snowflake.
  • Perform data validation, cleansing, and reconciliation across multiple mortgage data sources.
  • Support the development of curated datasets for analytics and reporting.

Data Reconciliation & Quality

  • Perform loan-level and portfolio-level reconciliation (e.g., UPB roll-forward validation, payment vs transaction matching).
  • Identify and resolve data discrepancies across systems (LOS, servicing, investor reporting).
  • Ensure the accuracy and consistency of reporting outputs.

Collaboration & Delivery

  • Work closely with U.S.-based stakeholders (servicing ops, capital markets, reporting teams).
  • Translate business requirements into reports and dashboards.
  • Deliver high-quality outputs within defined SLAs.

Required Qualifications (Domain-Focused)

  • 3+ years of experience in the U.S. mortgage domain (mandatory):
  • Loan origination (LOS), OR
  • Loan servicing (payments, escrow, remittance, transactions), OR
  • Mortgage reporting/capital markets support.
  • Strong understanding of the mortgage lifecycle and key data elements (loan status, balances, payments, delinquency).
  • Technical Skills:
  • Strong SQL experience (Microsoft SQL Server or similar).
  • Experience with Snowflake or other data warehouses.
  • Hands-on experience with BI/reporting tools like Sigma Computing, Tableau, or Power BI.
  • Advanced Excel skills.
  • Strong analytical thinking and attention to detail.

Preferred Qualifications

  • Experience with servicing reconciliation, remittance reporting, or investor reporting.
  • Exposure to MSR, NQM, RTL, or secondary market data.
  • Familiarity with data pipelines or tools like dbt or Apache Airflow.
  • Experience working in offshore/onshore delivery models.

Key Success Metrics

  • Accuracy of mortgage data reporting and reconciliation.
  • Ability to independently handle domain-specific analysis.
  • Reduction in data discrepancies and manual effort.
  • Timely delivery aligned with U.S. business timelines.

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Job Overview

Posted6/22/2026
CategoryData Science & Analytics
SourceJobsCollider

FAQ

Is this position remote?

The Data Analytics & Reporting Analyst role is a hybrid opportunity. The location specified is Remote Worldwide.

What is the salary?

The salary is not explicitly stated, but is competitive and based on experience.

How do I apply?

You can apply by clicking the "Apply for this role" button above to submit your application on the hiring website.

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