Position Summary:We are seeking an experienced Telematics Data Analyst with a strong background in handling and analyzing large-scale telematics data. The ideal candidate has at least 3 years of hands-on experience in transforming complex datasets into actionable insights, with an emphasis on building interactive dashboards in Power BI. You will collaborate cross-functionally to identify opportunities for improved operational efficiency, safety, and cost-saving measures, using data-driven insights.Key Responsibilities:Data Analysis & Interpretation: Analyze high-volume telematics data (e.g., vehicle tracking, driver behavior, sensor data) to identify trends, patterns, and insights that drive business decisions. Dashboard & Reporting: Develop and maintain interactive dashboards in Power BI, ensuring data visualizations are clear, concise, and actionable for stakeholders. Data Modeling & Transformation: Extract, clean, and model telematics datasets from various sources (APIs, cloud databases, etc.) to support meaningful analysis and reporting. Performance Monitoring: Continuously monitor key performance indicators (KPIs) around fleet efficiency, driver safety, and telematics device performance; proactively identify anomalies and provide recommendations. Stakeholder Collaboration: Work closely with internal teams (Operations, IT, Product, etc.) to understand their analytical needs and deliver data-driven solutions aligned with organizational objectives. Continuous Improvement: Stay up to date with the latest tools, techniques, and best practices in data analytics and telematics, applying new knowledge to enhance existing processes and solutions. Documentation & Knowledge Sharing: Create and maintain comprehensive documentation for data analysis methodologies, data structures, and dashboard functionalities. Required Qualifications & Skills:Education: Bachelors degree in Data Science, Statistics, Computer Science, Engineering, or a related field. A Master’s degree is a plus. Experience: Minimum 4 years of professional experience in data analytics, focusing on telematics or similar large-scale data environments. Technical Proficiency: Power BI and ETL: Advanced skills in building, optimizing, and maintaining dashboards and reports. SQL and Databases: Proficiency in SQL for data extraction and manipulation; experience working with relational and/or NoSQL databases. Data Handling: Demonstrated experience cleansing, processing, and analyzing large sets of structured and unstructured data. Scripting/Programming (Optional but Preferred): Familiarity with Python or R for data analysis and automation. Domain Knowledge: Understanding of telematics data (vehicle tracking, driver behavior, logistics), fleet management concepts, and relevant industry standards. Communication Skills: Excellent verbal and written communication skills, with the ability to translate complex analytical findings into clear insights for technical and non-technical stakeholders. Analytical Mindset: Strong problem-solving skills, attention to detail, and the ability to derive meaningful insights from ambiguous or incomplete data sets.
