We are looking for an experienced Senior Data Analyst to join a Data & Analytics Operations team within a leading organization in the connected mobility and digital services industry.

You will work closely with Data Scientists, ML Engineers, Platform Engineers, Data Engineers, and business stakeholders to transform large-scale data into actionable business insights.

This role offers the opportunity to work with petabyte-scale datasets generated by more than 1.8 million connected assets, developing advanced analytics solutions, data pipelines, dashboards, and reporting capabilities.

We are looking for a hands-on professional who can take ownership of the entire analytics lifecycle, from understanding business requirements to delivering high-quality analytical solutions.

Key Responsibilities

• Collaborate with business stakeholders to identify analytical needs and translate them into clearly defined projects and deliverables.

• Lead analytics initiatives from initial requirements gathering through data extraction, transformation, modeling, visualization, and delivery.

• Develop, optimize, and maintain scalable data transformation pipelines.

• Build robust analytical data models and back-end solutions to support business reporting.

• Design and develop professional, intuitive dashboards and reports using Power BI and other visualization platforms.

• Work with large and complex datasets to identify trends, patterns, opportunities, and actionable insights.

• Support business users and superusers in creating and maintaining self-service analytics solutions.

• Collaborate with cross-functional technical teams to ensure data quality, performance, and scalability.

• Provide expert guidance on data utilization, analytics best practices, and business intelligence.

• Continuously improve analytics processes, tools, and methodologies.

Required Skills & Experience

• Senior-level experience in Data Analytics, Business Intelligence, or Data Engineering.

• Strong hands-on experience with data extraction, transformation, and data modeling.

• Proven ability to develop and optimize data pipelines for large-scale datasets.

• Advanced knowledge of Power BI, including dashboard development, reporting, and visualization best practices.

• Strong understanding of analytical data models and data transformation processes.

• Experience gathering requirements and translating business needs into technical solutions.

• Ability to independently manage analytics initiatives from concept to delivery.

• Strong analytical thinking, problem-solving, and communication skills.

• Experience collaborating with business stakeholders and cross-functional engineering teams.

• Excellent English communication skills.

Preferred Technical Skills

• Databricks – Data transformation, analytics, and large-scale data processing.

• AWS Glue – ETL and data integration.

• AWS Athena – SQL-based analytics.

• Microsoft Fabric – Data integration, analytics, and reporting.

• Power BI – Advanced dashboarding and business intelligence.

• Experience with large-scale or petabyte-level datasets.

• Experience developing self-service BI solutions.

• Background in connected vehicles, IoT, automotive, or digital services is advantageous.