Mudflap serves the $800B trucking industry, the backbone of the U.S. economy. Our market-leading payment products help truckers save thousands of dollars on fuel (their #1 business expense), while providing our fuel stop partners with access to new, hard-to-reach customers. We’re a fast-growing marketplace business looking for a new customer-obsessed teammate to join us on this exciting journey.

As a Senior Data Analyst, you will be instrumental in analyzing complex datasets to provide actionable insights that shape our business strategy. Beyond traditional analytics, you will partner with data scientists to support the application of statistical models and machine learning techniques. 

In this role, you'll collaborate across teams, working with stakeholders to understand data needs and develop robust analytical solutions. You'll create insightful BI dashboards, contribute to the continuous improvement of our data reporting and analytics capabilities, and build and maintain data pipelines. This is an opportunity to leverage both analytical and data science skills to make a tangible impact in a dynamic, fast-paced environment, helping us better serve the trucking companies that rely on our products every day.

This position requires working onsite at our Palo Alto, CA headquarters twice weekly, on Tuesdays and Wednesdays. 

Expectations (In this role, you will):

• Collect, analyze, and interpret data from various sources
• Create and distribute reports and dashboards for internal stakeholders
• Write clean, well-tested, maintainable SQL
• Contribute to data documentation for our reporting tables 
• Exhibit enthusiasm about sharing and adopting best practices with your team
• Work collaboratively with key stakeholders
• Solve analytics problems of large scope and complexity
• Take ownership of your projects from beginning to end
• Support data science initiatives

Experience (What we look for):

• Strong SQL coding skills 
• Experience building user-centric BI dashboards
• Experience with Python or R for data analysis
• Experience working at a fast-paced startup 
• Experience distinguishing between must-haves and nice-to-haves in analytical projects

Perks and Benefits (What we offer): 

• A committed team on a mission to change a massive industry for the better
• A high bar for quality and commitment to self-improvement 
• An open mind to new ideas and methodologies
• Competitive salary and benefit options
• Opportunities and support for major career growth

The salary range for this role is $119,000 - $161,000. This information reflects a base salary range for this position based on current market data, which may be subject to change as new market data becomes available. The candidate's skills, experience, and other relevant factors will determine the exact compensation. This position may also be eligible for additional incentives such as equity awards or short-term incentives. Our benefits include medical/dental/vision insurance, 401(k) with company match, WFH stipend, and PTO.

Company Overview (Who we are):

Mudflap is on a mission to transform the trucking and logistics industry by leveling the playing field for owner operators and small fleets. Backed by top-tier venture investors, including QED, Matrix Partners, Commerce Ventures, NFX, and 500 Startups and included in the Forbes Fintech 50 list, Mudflap offers fleet fuel management solutions. Our core team hails from Disney, Uber, Procore, DoorDash, Google, Meta, Capital One, Affirm and Brex.

Here are the core values that we believe in and look for in new teammates:

• Be Customer Obsessed: We deeply understand customer needs and put our customers at the center of everything we do
• Make it Count: Act like an owner by focusing on the impact of your work
• Find a Way: Be a creative problem solver who pushes past roadblocks to win for our customers and our teammates
• Sweat the Details: We keep our standards high and achieve them by paying attention to every detail
• Be Curious: Use a growth mindset to question assumptions, take calculated risks and stretch the boundaries of what’s possible