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BizzyCar

Senior Data & Analytics Engineer

BizzyCar

Senior Data & Analytics Engineer managing data initiatives for automotive B2B SaaS company. Leading a growing team and influencing product and company strategy based on data insights.

Posted 7/31/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in leading data initiatives, managing technical teams, and driving advanced analysis using Python and SQL. Proficient in building data infrastructure and ensuring data quality and governance while fostering a culture of continuous improvement.

Highest-signal resume keywords
Python Data AnalysisSQL Complex QueriesDbt Data ModelingAmazon Redshift AnalyticsETL/ELT Pipeline Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalysisData ModelingData GovernanceData Quality AssuranceAnalytics ArchitectureAdvanced AnalysisData InfrastructureData PipelinesAgile MethodologiesProblem Solving
Soft Skills
People LeadershipMentoringClear CommunicationCollaborationContinuous Improvement
Tools & Technologies
PythonSQLDbtAmazon Redshift
Industry Keywords
Data InitiativesAnalyticsData EngineeringScalable SystemsBusiness Alignment

Tech Stack

Tools & technologies
Amazon RedshiftETLPythonSQL

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • Competitive pay
  • Equity opportunities
  • Medical benefits
  • Paid time off