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Earnest

VP, Data & Analytics

Posted 22 Days Ago
Remote
Senior level
Remote
Senior level
Lead data strategy and analytics teams, develop data-driven insights, oversee data platforms and pricing strategies, foster collaboration across business units.
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Our mission is to make higher education accessible and affordable for everyone. We empower students with financial support and supercharge their ability to pay down their debt, so they can get on the right financial track, fast.

We build tools that help people feel in control of their financial future, including:

  • Private student loans - low rates, people-first service, and flexible payments.
  • Student loan refinancing - break free from high-interest rates or monthly payments.
  • Scholarships - access to thousands of scholarships to help students pay less.

Earnies are committed to helping students live their best lives, free from the stress of student debt. If you’re as passionate as we are about our mission, read more below, and let’s build something great together!

The VP of Data & Analytics position will report to the Chief Operating Officer.

As the VP of Data & Analytics you will:

  • Develop and execute a comprehensive data strategy while building and leading high-performing, cross-functional data teams to foster a data-driven culture and enable data-informed decision-making.
  • Facilitate collaboration with business leaders to identify innovation opportunities, improve operational efficiency, and effectively communicate complex insights to technical and non-technical audiences.
  • Oversee the design, development, and maintenance of scalable data pipelines, warehouses, and governance frameworks to support analytics, ensure data quality, and empower self-service analytics.
  • Own pricing strategies, including dynamic pricing models, price elasticity analyses, and experimentation initiatives to drive business outcomes.

Your Impact: 

  • Lead the charge in driving our analytics strategy, delivering high-impact insights that shape key decisions. You will play a pivotal role in converting raw data into actionable insights, empowering teams to drive business growth, foster innovation, and maintain a competitive edge in the marketplace. 

About You: 

  • Master’s Degree in Computer Science, Statistics, Mathematics, Information Systems, or a related technical field.
  • 10+ years of leadership experience in data and analytics, including a track record of building and scaling high-performing data teams and cloud-based data platforms, while modeling leadership principles.
  • Deep expertise in working with large, complex datasets, predictive analytics, machine learning, and advanced analytical tools to extract actionable insights.
  • Experience leading the development of a robust and scalable data platform that can support the organization’s growing data needs.
  • Exceptional ability to translate technical concepts into actionable business insights and coordinate cross-functionally with key stakeholders and effectively communicate complex data insights to technical and non-technical audiences, including C-suite.
  • Experience in financial services or fintech preferred, with a solid understanding of structured and unstructured data analytics.

Even Better:

  • Experience in the Fintech lending space.

Where:

  • This role will be based in the US. 
  • While you’ll enjoy the flexibility of remote work, we also love to see our Earnies face-to-face! We ask you to join us at our Oakland office for 3 consecutive days a month for team collaboration and some fun. It's a chance to connect, share ideas, and maybe even grab some coffee together!

#LI-EG1
#LI-Remote

A little about our pay philosophy: We take pride in compensating our employees fairly and equitably. We are showcasing a range of your potential base salary based on the roles location. The successful candidate’s starting pay will also be determined based on job-related qualifications, internal compensation, candidate location and budget. This range may be modified in the future.

Pay Range

$252,000$315,000 USD

Earnest believes in enabling our employees to live their best lives. We offer a variety of perks and competitive benefits, including: 

  • Health, Dental, & Vision benefits plus savings plans
  • Mac computers + work-from-home stipend to set up your home office
  • Monthly internet and phone reimbursement
  • Employee Stock Purchase Plan
  • Restricted Stock Units (RSUs)
  • 401(k) plan to help you save for retirement plus a company match
  • Robust tuition reimbursement program
  • $1,000 travel perk on each Earnie-versary to anywhere in the world 
  • Competitive days of annual PTO
  • Competitive parental leave

What makes an “Earnie” culture: 

  • Drivers – Drivers are satisfied by making things happen, not coming along for the ride. They feel a strong sense of ownership for their projects and teams and demand high standards from themselves and others.
  • Humility – Humble team players check their egos and consider the team’s needs above their own. They are self-aware of their strengths and opportunities for improvement.
  • Growth Mindset – People with a growth mindset approach challenges and failures as learning opportunities. They seek feedback to improve, give feedback to others, and genuinely want to perform well. 

At Earnest, we are committed to building an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity, inclusion, equity, and belonging enables us to move forward with our mission. We are dedicated to adding new perspectives to the team and encourage anyone to apply if your experience is close to what we are looking for.  

Earnest provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, veteran status, disability or genetics. Qualified applicants with criminal histories will be considered for the position in a manner consistent with the Fair Chance Ordinance.

Top Skills

Cloud-Based Data Platforms
Data Governance
Data Strategy
Machine Learning
Predictive Analytics
Scalable Data Pipelines

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