Business Intelligence Analyst

October 16

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BizzyCar

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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.

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• Turn data into a competitive advantage — uncovering insights that drive smarter decisions, stronger performance, and scalable growth across our B2B SaaS platform • Work cross-functionally with teams across Sales, Marketing, Product, and Operations to translate complex data into clear narratives that influence strategy • Design, build, and maintain dashboards and reports that empower stakeholders with actionable, self-serve insights • Query data from Redshift, create visualizations in Tableau, and apply analytical techniques such as trend, cohort, and variance analysis • Help define key metrics, ensure data integrity, and uphold governance standards to maintain a single source of truth

🎯 Requirements

• Bachelor’s degree in a quantitative field (e.g. Statistics, Mathematics, Economics, Computer Science, Engineering, or related) • 3+ years of experience in data analysis, business intelligence, or analytics roles (or equivalent) • Strong SQL skills and experience working with Redshift or similar data warehouses • Experience building and maintaining dashboards and visualizations in Tableau (or a comparable BI tool) • Solid analytical foundation: comfort with statistical methods, trend analysis, cohorting, etc. • Excellent communication and storytelling skills: ability to explain complex findings to non-technical audiences • Strong attention to detail, data curiosity, and ability to dig into data to validate assumptions • Ability to manage multiple projects, prioritize, and work in a fast-paced environment • Understanding of data modeling, ETL processes, and data integrity (or eagerness to learn)

🏖️ Benefits

• Competitive pay • Equity opportunities • Medical benefits • Paid time off • Opportunities for growth and professional development • Collaborative, innovative work environment