We are seeking a highly skilled Senior Data Analyst to lead advanced analytics initiatives, transform complex datasets into actionable insights, and support strategic decision-making across the organization. We are looking for a candidate who combines strong analytical capability, business acumen, and the ability to partner across the organization.

Join us at the forefront of data-driven innovation, where machine learning meets real-world impact. On our Fleet Management System (FMS) side, you’ll work with large-scale data to build models that analyze driver behavior, helping prevent accidents, improve safety, and optimize fuel efficiency. This is a great opportunity for curious minds eager to grow in data science, develop practical ML skills, and turn big data into meaningful solutions.

• Strong experience in data analysis or business analytics roles
• Strong proficiency in SQL and at least one analytics programming language (Python or R)
• Expertise with data visualization tools (Power BI, Tableau, or similar)
• Solid understanding of statistical methods and analytical modeling
• Experience working with large datasets and cloud data platforms (Azure, AWS, or GCP)
• Exceptional communication skills with the ability to translate data into actionable insights

Bonus Knowledge:

• Experience in product analytics, fleet management systems, telematics, or mobility platforms
• Familiarity with experimentation frameworks (A/B testing, causal inference)
• Knowledge of ETL/ELT processes and collaboration with data engineers
• Experience with machine learning tools or MLOps basics

Data Analysis & Insights

• Collect, analyze, and interpret large, complex datasets to identify trends, patterns, and opportunities
• Develop dashboards, reports, and visualizations to enable self-service analytics across the business
• Monitor key performance metrics and proactively identify deviations or emerging trends
• Conduct deep dive analyses to support product strategy, operations, and executive ‑dive analyses to support product strategy, operations, and executive decision making

Data Modeling & Advanced Analytics

• Build and maintain statistical models, forecasting tools, and predictive analyses
• Apply advanced analytical techniques (regression, clustering, time‑series analysis, etc.) to solve business problems
• Collaborate with data engineering and product teams to structure data models for scalable analysis

Stakeholder Collaboration

• Act as a strategic partner for product, operations, finance, and leadership teams
• Translate business questions into analytical frameworks and measurable KPIs

Data Quality & Governance

• Ensure data accuracy, consistency, and integrity across all reporting and analytical outputs
• Influence data governance standards, documentation, and best practices
• Work closely with engineering to define data requirements and improve pipelines and data structures

Mentorship & Leadership

• Provide guidance, coaching, and support to junior analysts.