Senior Data & Analytics Engineer

About BizzyCar

BizzyCar is a B2B SaaS company transforming the automotive care experience for consumers, dealerships, and manufacturers. Our mission is to simplify car repairs, enabling consumers to resolve issues like recalls without leaving home or work. Through our automated platform, we streamline the process from manufacturers to dealers to customers, significantly reducing notification times and making repair scheduling seamless. Dealers benefit from increased repair revenue and strengthened customer relationships, while OEMs avoid costly fines.

We are solving a $22B industry challenge, with over 70 million cars on the road having unresolved recalls. BizzyCar is a fast-paced, results-driven company with an experienced leadership team skilled in building high-value businesses. Employees enjoy competitive pay, equity opportunities, and medical benefits. While we’re a dispersed team, we prioritize collaboration and meet quarterly to maintain our strong culture.

About the role

This is a build + lead role with real influence.

As a Senior Data & Analytics Engineer, you’ll own BizzyCar’s data foundation

and help shape how data drives decisions across the company. You’ll lead

execution across data initiatives, manage and mentor a growing data team, and

ensure our analytics, pipelines, and insights scale with the business.

This role is ideal for someone who loves being hands-on technically, enjoys

leading people, and wants their work to directly influence product strategy,

customer experience, and company direction. If you’re excited by turning messy

data into trusted insights—and helping others do the same—you’ll thrive here.

What you'll do

Own delivery and execution

• Lead delivery across data initiatives, ensuring roadmaps are executed on time, at high quality, and aligned to business goals

Lead and grow the data organization

• Manage and mentor data analysts and data engineers
• Set technical direction and raise the bar for analytics, data modeling, and insights

Turn data into decisions

• Drive advanced analysis using Python and SQL to uncover trends and influence product, customer experience, and strategy

Build and scale data infrastructure

• Own data pipelines and analytics architecture using dbt and Amazon Redshift
• Ensure performance, reliability, and scalability as the company grows

Ensure data trust and quality

• Define and enforce data quality, validation, and governance standards
• Build confidence in analytics and reporting across the organization

Partner cross-functionally

• Work closely with Product, Marketing, Customer Support, and Engineering to align data efforts with real business needs

Set culture and best practices

• Promote modern data engineering practices
• Foster a culture of learning, continuous improvement, and innovation

What We're Looking For

A proven people leader

• Experience leading, mentoring, and scaling technical teams in fast-paced environments

Strong hands-on technical foundation

• Deep expertise in:
• • Python (data analysis, automation)
  • SQL (complex queries, optimization)
  • dbt (data modeling and transformations)
  • Amazon Redshift (analytics and warehousing)

Data platform mindset

• Strong understanding of ETL/ELT pipelines, data modeling, and scalable system design

Execution-focused

• Comfortable leading initiatives using agile methodologies
• Able to balance speed, quality, and long-term maintainability

High-impact problem solver

• Confident navigating ambiguity and driving complex technical and organizational challenges to resolution

Clear communicator

• Able to translate technical concepts