Business Analyst

Key Responsibilities

• Data Analysis & Insights
• Develop and manage the AI tool chain to accelerate and scale the creation of high-quality, polished presentation assets.
• Query and analyze telemetry, maintenance records, and lease/purchase data to surface customer-specific trends, anomalies, and performance benchmarks that support business outcomes.
• Partner with Fleet Management and Sales teams to understand each customer’s pain points and needs, then build data-driven presentations around that narrative.
• Validate data quality and accuracy before every customer-facing deliverable — ensuring that insights presented are reliable and defensible.
• Develop and maintain a reusable library of presentation templates, data modules, and visual components to improve speed and consistency across deliverables.
• Continuously refine presentation standards and best practices, staying current with AI tools, design trends, and data storytelling techniques.
• Identify opportunities to proactively surface insights to customers anticipating what data would be most valuable.
• Manage incoming requests from account teams, prioritize effectively, and deliver polished materials on tight timelines including quarterly business reviews (QBR) and executive meetings.
• Collaborate with Engineering and Product teams to improve data access, documentation, and usability for insights work.
• Own the end-to-end creation of customer-facing presentations including QBR decks, onboarding reports, value summaries, and executive briefings.
• Occasionally present findings directly to customers or support Fleet Managers or Sales teams during customer calls and meetings.
• Develop and own AI tools and agents for data processing and summarization, presentation generation, and automated insight delivery.
• Champion the use of AI-assisted workflows within the Customer Success organization to scale the impact of data storytelling across the team.

Requirements

• Bachelor’s degree in Business Analytics, Data Science, Marketing, Communications, or a related field.
• 3–5+ years of experience in a data analysis, business intelligence, customer success, or customer-facing analytics role.
• Adaptive curiosity — you learn continuously, embrace new tools, and evolve your approach as the landscape changes.
• Sound judgment — you think critically, validate information, and make confident decisions even when the answer isn't obvious.
• Resourcefulness — you find a way forward with what's available, solving problems creatively rather than waiting for perfect conditions.
• Clear, precise communication — you articulate ideas and needs effectively, in writing and in conversation.
• Team player mentality — you are collaborative by nature, share credit, and make the people around you better.
• Willingness to roll up your sleeves — no task is beneath you; you lead by doing and take ownership from start to finish.
• Integrity and accountability — you take ownership of your work, flag concerns proactively, and hold yourself to a high standard.
• Ability to apply structured communication frameworks (e.g., Pyramid Principle) — leading with the key insight and supporting with data, not the other way around.
• Ability to calibrate detail level and tone for different audiences — a fleet operations manager and a CFO require very different versions of the same data story.

Compensation and Benefits

• Salary: $85,000 - $99,000
• Performance Bonus: Eligible for a quarterly bonus of up to 10%, bringing the total compensation range to $93,500 - $108,900.
• Health Benefits: Comprehensive medical, dental, vision, and life insurance, along with an Employee Assistance Program and 401(k) plan with company match, available for full-time employees.
• Paid Time Off: Accrue three weeks of PTO annually.
• Holidays: Enjoy 15.5 paid holidays throughout the year.