About Avenue Link

Avenue Link is a performance-based digital marketing firm serving clients across the fintech and financial services space. We combine cutting-edge technology, smart marketing, and deep data analytics to connect consumers with personal loans and other credit and debt-related products.

Our secret is our people. Our team of talented developers, marketers, and analysts are what drive our performance forward. Every day, we come together with fresh ideas and turn them into real results. If you thrive on using data to solve big problems and love seeing your work make a tangible impact, you'll fit right in at Avenue Link.

Role Overview

We're seeking a Director of Data & Analytics who combines hands-on analytical ability with the judgment and leadership to shape how Avenue Link uses data. This is a player-coach role: you will execute high-impact analyses yourself while also guiding (and eventually managing) one or more analysts.

You will own the full analytics lifecycle: Traffic entry, form submission, lead generation, and buyer revenue. Ensuring the business receives clear insights, automated reporting, and strategic recommendations that improve EPCs, conversion rate, buyer quality, and overall profitability.

This role requires someone who is deeply technical, highly curious, business-minded, and capable of presenting complex insights simply and persuasively to senior leadership.

What You'll Do

Lead Analytics Strategy & Execution

• Own the end-to-end analytics of our lead generation and buyer marketplace.
• Turn raw data into clear, actionable recommendations that drive EPC, ROI, and partner value.
• Bridge business and technical teams, improving how data is modeled, interpreted, and used.
• Take full ownership of A/B experimentation and performance optimization, from identifying opportunities through testing, measurement, and implementation of winning changes.

Reporting Modernization

• Streamline and automate recurring internal and partner-facing reports
• Build scalable Tableau dashboards connected directly to BigQuery and other sources.
• Establish reporting standards and ensure data consistency across platforms.

Funnel & UX Optimization

• Analyze form behavior: identify dropoff points, friction, and conversion opportunities.
• Partner with marketing and UX teams to drive testing and funnel improvements.
• Own A/B test governance: tracking, experiment design, reporting, and insights.

Performance & Buyer Optimization

• Evaluate factors that drive EPC and monetization across traffic sources and buyers.
• Support smarter lead routing, partner matching, and quality prediction.
• Long-term: contribute to development of lead scoring, buyer routing models, and other ML-driven optimizations.

Team Leadership

• Provide mentorship, structure, and prioritization for 1–2 analysts (immediately or as the team grows).
• Create repeatable analytical frameworks and raise the overall standard of insight generation.

What We're Looking For

Required

• 6 years in analytics, data science, or performance marketing analytics

(experience in lending/fintech, marketplaces, or lead generation a plus)

• Strong SQL and experience working with large datasets
• Expertise in Tableau, including data modeling and automated refresh pipelines
• Experience with BigQuery or similar cloud data warehouses
• Demonstrated ability to present insights to executives clearly and concisely
• Hands-on experience with A/B testing and experimentation
• Ability to operate as both strategist and executor in a lean team

Preferred

• Experience with light machine learning or strong interest in developing ML capability (e.g., lead scoring, routing, quality prediction)
• Understanding of UX/CRO, funnel analysis, and form-level analytics
• Experience managing analysts or building small analytics teams
• Familiarity with API-driven data ingestion or engineering collaboration workflows

Additional Information

Competitive benefits package-including medical/dental/vision support, vacation/sick time/paid time off for important holidays, 401(k), flexible working arrangements (i.e. working from home/hybrid)