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Making homeownership simpler, faster - and most importantly, more accessible. NMLS #330511 | better.com/terms
Data Analyst II
Location
India
Posted
78 days ago
Salary
0
Seniority
Senior
Job Description
Data Analyst II
Better
• Support development and execution of data audit, validation, and QC/QA frameworks across internal and partner datasets • Translate regulatory and business requirements into structured validation rules; perform data validation, reconciliation, and variance analysis • Validate datasets for regulatory and partner reporting, investigate discrepancies, and drive root cause resolution with cross-functional teams • Develop understanding of end-to-end data flows; support validation and debugging of production pipelines and improve reporting reliability • Identify and automate recurring QC checks using SQL/Python; build reusable validation frameworks and support productionization efforts • Support development and validation of reporting outputs; contribute to analysis for regulatory, operational, and SaaS initiatives • Maintain clear documentation of data logic, transformations, and validation frameworks; communicate findings to technical and non-technical stakeholders
Job Requirements
- Bachelor’s degree in Data Analytics, Statistics, Mathematics, Economics, Computer Science, or related field
- Minimum 4-6 years of experience in a data analyst or similar role
- Strong proficiency in SQL, including complex joins, window functions, aggregations, and performance optimization
- Proficiency in Python for data analysis and automation
- Experience with data visualization tools (Tableau, Power BI, Looker, etc.)
- Strong analytical, troubleshooting, and problem-solving abilities
- Ability to work in a fast-paced, deadline-driven environment
- Strong written and verbal communication skills
- Experience working with large datasets in cloud data warehouses (Redshift, BigQuery, Snowflake, etc.) (preferred)
- Experience working on client-facing documents and documentation (preferred)
- Experience with ETL processes and data modeling (preferred)
- Understanding of mortgage lifecycle data (origination, underwriting, closing, servicing) (preferred)
- Experience in FinTech, mortgage, or other highly regulated environments (preferred)
Benefits
- Health insurance
- Professional development opportunities
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