Strategic & Data Analyst

About Draiver:

Draiver is the intelligent backbone of automotive logistics, managing and executing vehicle movements across the U.S., Canada, Mexico, and Brazil. Combining AI-powered technology with a marketplace of over 130,000 insured drivers, backed by our captive insurance unit, Draiver enables scalable, efficient, and cost-effective vehicle logistics for dealerships, trucking companies, fleet operators, rental and OEMs.

Our mission is to transform vehicle logistics through technology, operational excellence, and innovative marketplace solutions.

We are looking for a high-impact Strategic & Data Analyst to sit at the intersection of business strategy and analytics, directly influencing company-wide decisions and executive planning.

The ideal candidate is analytical, structured, business-oriented, and comfortable operating between technical teams and executive leadership.

Key Responsibilities

Business & Strategic Analytics

• Translate company priorities into measurable KPIs and structured dashboards
• Support executive reporting and performance visibility across leadership
• Develop weekly and monthly business review materials
• Conduct deep-dive analyses on operational performance, profitability, growth, and efficiency
• Support quarterly and annual strategic planning cycles through insights and performance tracking

Data Structuring & Quality

• Build and maintain reliable datasets to support reporting needs
• Create and manage basic ETL processes when needed
• Ensure data accuracy, consistency, and integrity
• Optimize reporting processes for scalability

Cross-Functional Support

• Partner with Operations, Finance, Product, and Commercial teams
• Improve metric alignment and reporting consistency across departments
• Communicate insights clearly to non-technical stakeholders

Qualifications

• Bachelor’s degree in Engineering, Computer Science, Economics, Business, or related field
• SQL proficiency
• Experience building dashboards in BI tools (Looker, Tableau, Superset, Power BI, etc.)
• Experience working with structured datasets and data modeling concepts
• Strong analytical thinking and business acumen
• Ability to work independently and with senior leadership

Skills

• Strong communication and interpersonal skills, with a demonstrated ability to effectively convey technical information to non-technical stakeholders.
• Good analytical and problem-solving abilities.
• Ability to work independently and as part of a team in a fast-paced and dynamic environment.

Career Path & Scope Definition

Based on strengths, experience, and business priorities, this role may evolve into one of two focus tracks:

Track A – Strategy & Planning Focus

• Executive-level reporting
• Business case development
• Strategic planning cycles
• High visibility role with exposure to executive leadership

Track B – Data & Analytics Focus

• Deep dive into dashboards and performance metrics
• Advanced data analysis
• Process optimization through data insights

Final scope and reporting line will be defined based on the selected candidate’s profile and company priorities.

Nice to Have

• Experience with Python
• Familiarity with AWS or cloud data environments
• Experience supporting OKR or performance frameworks