Senior Data & Analytics Engineer
BizzyCar
- New York, New York, United States
- New York, New York, United States
Über
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
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
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)
dbt (data modeling and transformations)
Amazon Redshift (analytics and warehousing)
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
Confident navigating ambiguity and driving complex technical and organizational challenges to resolution
Able to translate technical concepts into actionable insights for non-technical stakeholders
Why You’ll Love This Role
You’ll own BizzyCar’s data foundation and see the impact of your work across the company
You’ll lead a growing team and help shape how data is used at scale
You’ll have real influence on product, strategy, and decision-making
You’ll work on meaningful problems that directly affect customers and revenue
What We Offer
Competitive salary and benefits package
Opportunities for growth and professional development
Collaborative, innovative work environment with a passionate team
The chance to make an impact in a high-growth, cutting-edge company at the forefront of automotive technology
BizzyCar, Inc. does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity, or any other reason prohibited by law in the provision of employment opportunities and benefits.
At this time, the company does not provide sponsorship for U.S. visas or immigration benefits. To that end, the company does not provide financial, legal or administrative support for employment-based U.S. immigration benefits. In compliance with the Immigration Reform and Control Act of 1986, and as a condition of employment, all employees must complete the Form I-9 and present unexpired documents showing that the employee is legally authorized to work for any employer in the United States.
#J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.