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BizzyCar · 2 months ago

Data & Analytics

United States

Full-time

Remote

Senior Level

BizzyCar is a B2B SaaS company transforming the automotive care experience for consumers, dealerships, and manufacturers. The Data & Analytics Analyst will play a key role in building and maintaining data infrastructure, uncovering insights to drive decision-making, and collaborating with teams across the business to unlock the power of data.

Artificial Intelligence (AI)AutomotiveInformation TechnologySoftware

No H1B

Responsibilities

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

Qualification

PythonSQLDbtAmazon RedshiftData pipeline architectureETL processesAgile methodologiesData visualization toolsCloud-based architecturesVersion controlCI/CD for analyticsProject managementProblem-solvingCommunication skillsCollaboration skills

Required

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