Senior Data & Analytics Engineer

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🕒 July 31

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BizzyCar

WebsiteLinkedInAll Job Openings

11 - 50 employees

🚘 Automotive

🤖 Artificial Intelligence

☁️ SaaS

Automotive • Artificial Intelligence • SaaS

BizzyCar is a leading company in the field of automotive recall management. Utilizing an AI-driven Automated Service Recall Management Platform, BizzyCar offers innovative solutions for dealers, OEMs, fleet operators, and vehicle owners. The platform automates recall discovery, schedules service appointments, and streamlines service processes, thereby increasing service revenue and enhancing customer loyalty. BizzyCar's system is designed to integrate seamlessly into dealership processes without requiring new tools or significant process changes. The company emphasizes road safety and aims to make recall management efficient and profitable for all stakeholders.

📋 Description

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

🎯 Requirements

• 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) • Strong understanding of ETL/ELT pipelines, data modeling, and scalable system design • Comfortable leading initiatives using agile methodologies • Able to balance speed, quality, and long-term maintainability • High-impact problem solver • Clear communicator

🏖️ Benefits

• Competitive pay • Equity opportunities • Medical benefits • Paid time off