Data Analyst – Fleet Management & Optimization

Job Title: Data Analyst – Fleet Management & Optimization Location: Remote Duration: 6 months+ Job description: About the Role • We are seeking an experienced Data Analyst with expertise in ETL processes, data modeling, and database design to join our analytics team supporting utility operations. The ideal candidate will have a strong background in fleet management and optimization, with the ability to translate operational data into actionable insights to improve efficiency, reduce costs, and support strategic decision-making. Key Responsibilities • Design, develop, and maintain ETL pipelines to collect, cleanse, and transform data from multiple sources. • Create and optimize data models to support reporting, analytics, and business intelligence needs. • Develop and maintain database structures to ensure scalability, performance, and reliability. • Analyze fleet operations data to identify patterns, inefficiencies, and opportunities for optimization. • Partner with operations, logistics, and maintenance teams to create dashboards and reports that drive performance improvements. • Support predictive analytics and modeling initiatives for vehicle utilization, maintenance scheduling, and route optimization. • Ensure data quality, integrity, and security across all analytical processes. • Provide ad hoc analysis and recommendations to leadership for operational and strategic decisions. Qualifications Required: • Bachelor’s degree in data science, Computer Science, Information Systems, Statistics, or related field. • 3+ years of experience as a Data Analyst, preferably in the utilities or transportation/fleet management sector. • Strong proficiency in ETL tools (e.g., SSIS, Talend, Informatica, Airflow). • Proven experience with data modeling (conceptual, logical, and physical). • Proficiency in SQL and database technologies (e.g., SQL Server, PostgreSQL, Oracle). • Familiarity with fleet management systems and optimization algorithms. • Strong analytical skills with the ability to interpret complex datasets and present findings clearly. • Experience with BI tools (e.g., Power BI, Tableau, Qlik). Preferred: • Experience with cloud platforms (AWS, Azure, or GCP) and cloud-based data warehouses (e.g., Snowflake, Redshift, BigQuery). • Knowledge of machine learning techniques for optimization and predictive maintenance. • Familiarity with geospatial analysis and telematics data. Key Competencies: • Strong problem-solving and critical-thinking skills. • Excellent communication and presentation abilities. • Ability to work cross-functionally with technical and non-technical stakeholders. • Attention to detail with a commitment to data accuracy.