V
Valon Mortgage
Forward Deployed Data Analyst
Skills
SQL QueriesLookerData EngineeringTableauPythonData VisualizationData AnalysisPower BI
2 months ago
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Important information
Contract type:
Permanent
Salary:
$105,000 – $180,000 / year
Location:
New York, NY, USA
Work mode:
Onsite
Published on:
5 September 2026
What they need
- We are looking for full-stack data analysts who can take end-to-end ownership of the data and analytics needs of Valon’s SaaS customers
- You will be responsible for large scale migrations of varying reporting infrastructure to the Valon Data Schema and API on behalf of clients
- You will interface with clients, stand up data infrastructure, migrate or build out reporting, and more
- You’ll work closely with client data teams, representing Valon as both the expert on Valon’s Data Schema, and also mortgage servicing best practices
- Collect and document client requirements at the project level from client data analysts
- Establish new data processes, tools, and systems for clients according to plan
- Create reporting pipelines in dbt
- Write, re-write, or migrate SQL queries, reports, and dashboards to empower client operational processes
- Conduct analysis to inform client business decisions
- Document, audit, and improve client data sets to meet client data needs
- Respond to data requests from the client and their operations teams
- Meet tight project deadlines
- Dive deep into the mortgage servicing industry to understand its complicated inner workings
Benefits
- Compensation: You’ll receive a highly competitive compensation package with room to grow.
- Time Away: We offer a generous PTO program, sick time, and company holidays.
- Flexible Work: Remote, hybrid, or in-office. We’ve got it all and aim for you to work where it works. Where possible, we offer geographic flexibility.
- Health Benefits: Health, dental, and vision insurance are all company-sponsored to keep you healthy and strong.
- Parental Leave: Birthing and non-birthing parents receive 12 weeks of fully paid time to welcome a new child.- The right candidate is technical, analytical, and works well under pressure including high stakes and tight deadlines. At the same time, positivity, clear communication, and customer service are key
- Experience in a customer facing role
- Experience working with data engineering teams and building out data infrastructure
- Experience with dbt
- Experience using data visualization tools, especially Hex, Looker, PowerBI, Tableau or equivalent BI tools
- Expert in SQL required (Python skills a plus)
- Experience applying data and analytics concepts to business problems
- 2-4+ years of full-time work experience in data analytics, product analytics, business analytics, or business intelligence, ideally at a tech company (mortgage servicing experience a plus)
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