Senior Forward Deployed Data Analyst

About the Company

Valon’s mission is to empower every homeowner. We believe the journey of home ownership starts when you get your keys, but lasts far beyond. We’re creating a world where home ownership comes with ease, security, and financial know-how. Our growing team of engineers, operators, product enthusiasts, and experienced servicing professionals are leveraging technology to fundamentally improve the homeownership experience. Through mortgage servicing—the process of paying off one’s mortgage—Valon is taking the first step in transforming the industry one homeowner, and lender, at a time.

About the Role

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. 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.

Responsibilities

• Collect and document client requirements at the client relationship level from client executives, middle management, and data analysts.
• Architect and establish new data processes, tools, and systems for clients, owning project timelines and deliverables, including accountability for milestones and deadlines.
• 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.
• Educate clients on data tools that increase the efficiency of their operations teams.
• Meet tight project deadlines.
• Ensure long term success and retention of client relationships.
• Dive deep into the mortgage servicing industry to understand its complicated inner workings.

Ideal Background

• 6+ 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).
• Experience in a customer facing role.
• Expert in SQL required (Python skills a plus).
• Experience with dbt.
• Experience using data visualization tools, especially Hex, Looker, PowerBI, Tableau or equivalent BI tools.
• Experience working with data engineering teams and building out data infrastructure.
• Experience applying data and analytics concepts to business problems.

Benefits

• Base Compensation Band: $160,000 - $215,000
• Compensation; competitive salary with a meaningful stake in the company via equity and our performance bonus program 
• Health & well-being; we’ll invest in your physical and mental well-being with comprehensive medical, dental, & vision benefits
• Grow together; learning & development opportunities including regular review cycles that feature 360 degree feedback
• Equipment; we’ll provide you with the equipment you need to be successful and a one-time $200 stipend for your initial desk setup 
• Generous time off; paid time off, uncapped sick days, and 11 company holidays 
• Baby bonding time!; 3 months off for birthing parents and 2 months off for non-birthing parents - fully paid so you can focus your energy on your newest addition