Program Analyst
New
USFull-TimeMiddle
Salary110,000 - 120,000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- SQLData AnalysisMachine LearningMicrosoft Power BISnowflakeVBATableauMicrosoft Excel
Requirements
- Bachelor’s degree in Analytics, Engineering, Supply Chain, Operations, Finance, or a related field; advanced degree preferred.
- 5+ years of experience in business analysis, data analytics, financial analysis, or quantitative roles, preferably in fleet, logistics, or operations environments.
- Advanced proficiency in Excel (including Power Query and VBA), SQL, and business intelligence tools such as Power BI, Tableau, DOMO, or QuickSight.
- Strong experience building forecasting models, KPI frameworks, and statistical or predictive models.
- Demonstrated ability to perform root cause analysis, cost driver analysis, and operational performance diagnostics.
- Hands-on experience creating executive-level reports and presentations for senior stakeholders.
- Familiarity with AI/ML tools, including LLMs (e.g., Claude), Snowflake, and predictive or anomaly detection systems is highly preferred.
- Experience with data warehousing, cross-system data reconciliation, and large-scale datasets.
- Strong problem-solving skills with the ability to translate complex data into clear business insights.
- Excellent communication skills with experience influencing technical and non-technical stakeholders.
Responsibilities
- Develop, maintain, and continuously improve forecasting models to enhance accuracy and support proactive business planning and budget management.
- Perform deep-dive financial and operational analyses, including WIP tracking, cost variance analysis, repair classification, and exception reporting.
- Conduct root cause analysis, Pareto analysis, and trend identification across fleet performance, repair activity, and cost drivers.
- Build and maintain automated dashboards and reporting tools using BI platforms to track key operational and financial performance indicators.
- Design and optimize data pipelines, SQL queries, and automated reporting workflows to improve scalability and efficiency of analytics processes.
- Reconcile and integrate data across multiple systems including fleet, telematics, ERP, and analytics platforms to ensure consistency and accuracy.
- Develop executive-level reporting materials including presentations, charts, and visual insights for leadership and business reviews.
- Leverage AI and machine learning tools to enhance predictive modeling, anomaly detection, classification, and real-time analytics capabilities.
- Collaborate with operations, finance, and account teams to identify opportunities for process improvement and cost optimization.
- Provide actionable recommendations that support fleet lifecycle decisions, including retirement, replacement, and cost control strategies.
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