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BizzyCar

Data & Analytics

Posted 9 Hours Ago
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
As a Data & Analytics Analyst, you'll develop data infrastructure, perform complex analyses, provide insights, and ensure data quality across systems.
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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


We’re looking for a data-driven, detail-obsessed Data & Analytics Analyst to join our fast-paced team. You’ll play a key role in building and maintaining our data infrastructure, uncovering insights to drive decision-making, and helping teams across the business unlock the power of data. This role is ideal for someone who thrives on translating complex data into actionable business solutions, enjoys cross-functional collaboration, and wants to help shape how data is used at a high-growth SaaS company.


What you'll do

  • Oversee the development and execution of the mobile application roadmap, ensuring products are delivered on time, within budget, and to the highest quality standards.
  • Lead the data analysis team in identifying trends, performing complex data analysis using Python and SQL, and providing actionable insights to guide strategic decisions and improve user experience.
  • Manage the data processing and analytics pipelines, ensuring efficient data modeling, transformation, and orchestration using dbt and Amazon Redshift, optimizing performance and scalability of our data infrastructure.
  • Establish data quality and validation frameworks to ensure accuracy, consistency, and reliability across all analytics and reporting systems.
  • Foster a culture of innovation and continuous improvement among all engineering teams, encouraging knowledge sharing, professional development, and the adoption of best practices in data engineering and analytics.
  • Collaborate with cross-functional teams, including product management, marketing, and customer support, to align engineering activities with business objectives and customer needs.

Qualifications

  • Proven leadership skills with the ability to motivate, mentor, and manage engineering teams in a dynamic and fast-paced environment.
  • Strong technical expertise in Python (for data analysis and automation), SQL (for querying and performance tuning), dbt (for data modeling and transformation), and Amazon Redshift (for data warehousing and analytics).
  • Deep understanding of data pipeline architecture, ETL processes, and software engineering principles for scalable and maintainable data solutions.
  • Excellent project management skills, including experience with agile methodologies, to ensure the timely delivery of projects with high quality.
  • Exceptional problem-solving abilities, capable of identifying and resolving complex technical, operational, and organizational challenges in data-driven systems.
  • Effective communication and collaboration skills, with the ability to articulate technical concepts to non-technical stakeholders and foster a collaborative team environment.

Preferred Experience

  • Experience integrating Python-based data workflows with business intelligence tools or APIs.
  • Familiarity with data visualization and reporting tools (e.g., Looker, Tableau, or Power BI).
  • Understanding of cloud-based data architectures and scalable data ecosystems (AWS preferred).
  • Experience working with version control and CI/CD for analytics (e.g., Git, dbt Cloud).


Benefits

We value our employees’ time and efforts. Our commitment to your success is enhanced by our competitive compensation and benefits package including paid time off, medical, dental, 401k, vision and equity benefits and future growth opportunities within the company. Plus, we work to maintain the best possible environment for our employees, where people can learn and grow with the company. We strive to provide a collaborative, creative environment where each person feels encouraged to contribute to our processes, decisions, planning and culture. To learn more about our company please visit: www.BizzyCar.com.

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 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.

Top Skills

Amazon Redshift
AWS
Dbt
Looker
Power BI
Python
SQL
Tableau

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