Senior Data Analyst
Job Description
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.
Analytics at Valon
The Analytics team works on all things data. We are a team of full-stack analysts who own everything from data transformation, experimentation, KPI definition, and data analyses. We work closely with Product, BizOps and operations to ensure teams have the right data to do things like solve business problems, understand how users interact with our product, and evaluate the success of product launches.Â
Responsibilities
- Responsible for building out Valon’s reporting, generating insights, supporting data infrastructure, and more.Â
- Work closely with stakeholders across the organization and serve as the authority on the key metrics which drive our business.Â
- Help establish and influence data process, tools, and systems that will allow us to make better decisions in a scalable way.Â
- Write SQL queries, build dashboards, and conduct deep dives to empower business leaders to make effective decisions.Â
- Work as an analytics and Looker evangelist with business and product stakeholders.Â
- Define and track foundational metrics and build reporting across the company.Â
- Respond to data requests from the product and business teams.Â
- Dive deep to understand the inner workings of a highly complex industry.
- Document our data, ensure data accuracy, and create/improve data sets to meet Valon’s data needs.Â
- Partner with data engineering and other stakeholders to improve our data platform.
Ideal BackgroundÂ
- Bachelor’s degree in Mathematics or related field.Â
- Requires 2 years of experience in data analytics, product analytics, business analytics, or business intelligence, including full-stack proficiency with Looker (LookML development + dashboard/visualization),Â
- Proven track record of applying data and analytics concepts to business problems cross-functionally, working with data engineering teams, building out data infrastructure
- SQL and Python expertise
- Must have legal authority to work in the U.S. EEOE.
- Base Compensation Band: $80,850 - $160,000
- Compensation; competitive salary with a meaningful stake in the company via equity and our performance bonus programÂ
- Health & well-being; we’ll invest in your physical and mental well-being with comprehensive medical, dental, & vision benefits, One medical membership, and Talkspace to provide mental health support
- Food & meal allowance; in-office snacks, drinks, Tuesday dinners, and $400 monthly stipend towards your lunches or groceriesÂ
- Grow together; learning & development opportunities including regular review cycles that feature 360 degree feedbackÂ
- Equipment; we’ll provide you with the equipment you need to be successful and a one-time $200 stipend for your initial desk setupÂ
- Generous time off; paid time off, uncapped sick days, and 11 company holidaysÂ
- 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
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Date Posted
08/10/2023
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