• Develop and maintain dashboards, reports and management KPIs; • Collect, process, organize and validate datasets from different sources; • Automate processes and routines for data extraction, processing and data provisioning; • Identify trends, opportunities and deviations through indicator analysis; • Support different areas of the company in data-driven decision making; • Develop queries and analyses using SQL; • Create visualizations and executive presentations; • Ensure the quality, integrity and reliability of information; • Document processes, indicators and business rules; • Contribute to the evolution of the company's data structure, proposing continuous improvements.

• Develop and implement annual QDA business plans • Monitor industry developments to ensure access to best-in-class capabilities • Collaborate with all PCR solution teams • Manage staff including interviewing and selection, job description preparation, and performance management • Drive thought leadership for scientific improvement • Support opportunity management and development of qualitative research strategies • Oversee the delivery of qualitative components of PCR studies • Collaborate with external and internal vendors for qualitative research services • Manage qualitative research technologies for data collection and analysis

Role Description The Autonomous Vehicle Technical Data Analyst 3 will be responsible for analyzing technical data related to autonomous vehicles. This role requires a blend of quantitative and qualitative analysis skills, along with strong project management capabilities. Qualifications - Working knowledge of Python - Ability to conduct quantitative and qualitative analyses - Organized, project management skills - Excellent written and verbal communications - Documentation skills - Problem solving skills (system thinking, problem decomposition thinking) - Hands-on experience running quality processes Requirements - Working knowledge of SQL - Working knowledge of Jira, Confluence, Slack, Microsoft and Google suites - Working experience in simulation, simulated tests - Experience working with offshore vendors - Experience with on-call duties and processes - Can accommodate 3-6pm PST on-call duties every 4 weeks Company Description

Role Description We are looking for a Senior Reporting & Data Analytics Specialist to support data-driven decision-making by designing, modeling, and visualizing data across multiple platforms. The role involves working with SAP BI tools, integrating data from various sources, and contributing to modern data workflows. - Design and develop data models in SAP Datasphere, using both graphical and SQL-based views - Build interactive dashboards and reports in SAP Analytics Cloud to support business insights - Collect and integrate data from multiple external sources through APIs, handling various authentication methods such as Bearer tokens and OIDC certificates - Collaborate with stakeholders to understand reporting requirements and translate them into effective technical solutions - Ensure data quality, consistency, and performance optimization across all reporting solutions - Work with modern data platforms such as Databricks to support advanced data engineering and analytics use cases - Develop scripts and automation using Python for data processing and integration within the Databricks environment - Use version control and collaborate on code and assets through GitHub Qualifications - At least 3 years of professional relevant experience in reporting and data analytics - Strong background in data modeling and reporting activities - Hands-on experience with SAP Datasphere and SAP Analytics Cloud - Familiarity with Git-based workflows through GitHub for collaboration and version control - Solid understanding of SQL for querying and modeling data - Exposure to Databricks or similar modern data platforms - Practical experience with Python for data processing or automation tasks - Confident English communication at B2 level or higher, in both written and spoken forms Requirements - Experience working with APIs and authentication mechanisms such as Bearer tokens and OIDC - Practical background with SAP HANA for enterprise data management and analytics