Data Analyst II

Description A leading organization in the e-commerce and technology industry is seeking a Data Analyst II to support high-impact business decisions through advanced financial, economic, operational, and capacity-related analysis. This Remote role supports one of the company's major nationwide safety and fleet-technology initiatives, requiring a strong analytical mindset, exceptional attention to detail, and the ability to operate independently in a fast-paced, rapidly scaling environment. The ideal candidate thrives in dynamic settings, works well with cross-functional teams, and enjoys solving complex operational and financial problems.

Key Responsibilities

Financial & Economic Analysis

• Conduct economic, financial, and market analysis across capacity planning, pricing, cost modeling, and return-on-investment scenarios.
• Build, maintain, and refine financial and operational models to support forecasting, variance analysis, and strategic decision-making.

Capacity, Budgeting & Forecasting

• Support capacity forecasting, budgeting, and reporting across OpEx, CapEx, and resource allocation initiatives.
• Track, interpret, and analyze large and complex data sets tied to fleet repair, utilization, and operations.

Tools, Dashboards & Systems Development

• Design, enhance, and coordinate the development of analytical systems, dashboards, and reporting tools to support a rapidly evolving business environment.
• Ensure analytical tools scale with business growth and remain aligned with operational needs.

Cross-Functional Collaboration

• Partner with program managers and other stakeholders to validate assumptions, identify trends, and deliver insights.
• Convert data findings into actionable recommendations for leadership and operational teams.
• Participate in daily collaboration with team members; limited interaction with developers or technical engineering teams.

Operational Project Support

• Contribute directly to repair-data management initiatives for fleet-related technologies.
• Provide weekly reports, tracking summaries, and data accuracy evaluations.
• Manage shifting priorities and work independently while maintaining a high degree of accuracy.

Requirements

Required Qualifications

• Bachelor's degree in Business, Finance, Engineering, Economics, or a related discipline.
• 3-6 years of experience in financial modeling, forecasting, capacity planning, or operational analysis.
• Strong analytical capabilities with hands-on experience building models and analyzing large datasets.
• Advanced proficiency with MS Excel (pivot tables, lookups, modeling functions).
• SQL knowledge strongly preferred.
• Exceptional written and verbal communication skills.
• Proven ability to work independently, pivot quickly, and manage competing priorities.
• High attention to detail and accuracy in fast-paced, continuously changing environments.

Preferred Qualifications

• Graduate degree (MBA or equivalent) strongly preferred.
• Experience in fleet management, repair operations, logistics, or hardware/tech device operations.
• Prior work experience with large, complex enterprise environments.
• Experience creating dashboards and scalable analytics tools (Excel, SQL, Power BI, Tableau, or similar).
• Strong business acumen and ability to translate data into strategic recommendations.

Ideal Candidate Traits

• Detail-oriented, organized, and thorough
• Data-driven with strong problem-solving skills
• Comfortable working with large data sets and complex operational inputs
• Strong communicator capable of partnering with cross-functional groups
• Flexible, adaptable, self-motivated, and capable of owning analytical workstreams independently

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