1. Business Engagement:

• Align with stakeholders to identify business questions, define measurable requirements, document KPI definitions and prioritize analytics use cases

• Ensure requirements are assessed in the global context and translated into scalable, reusable and adoption-ready analytics solutions
• Continuously optimize existing analytics products together with product owners, key accounts and business users based on usage, feedback and business value

2. Data & Process Engagement:

• Investigate and understand global sales, marketing and customer-related data, system dependencies, data flows and process landscape

• Ensure analytics activities align with business strategy, IT architecture, data governance standards and reporting blueprints

• Ensure solutions follow the global blueprint for processes, KPI definitions, semantic models, documentation and reusability across markets

3. Solution and Service Delivery:

• Develop, implement and maintain scalable Power BI reports and semantic models that follow global processes and blueprints
• Build analytics products on global infrastructure with focus on governed, reusable and trusted data layers
• Collaborate with stakeholders throughout development to ensure business requirements, usability, performance and adoption expectations are met
• Deliver in-house analytics products through agile ways of working with focus on value, transparency, timely delivery and customer satisfaction
• Perform data preparation, transformation, automation and basic data engineering activities where required
• Follow data governance, security and responsible AI guidelines to ensure reports are accurate, compliant, optimized and fit for business use
• Design AI-enabled product features such as natural-language insights, guided analytics, anomaly detection and automated explanations to improve usability, adoption and business decision-making
• Manage analytics initiatives within an agile delivery process to ensure timelines, scope, quality, budget and stakeholder expectations are met

EDUCATION LEVEL

• Bachelor/ Master degree in computer science, engineering, Data Analytics, Automotive Management or comparable.

EXPERIENCE

• 3+ years of relevant experience in data analytics, business intelligence, reporting, data engineering or analytics product delivery
• Strong experience translating business questions into measurable KPIs, data requirements & dashboards
• Hands-on experience creating, maintaining and optimizing Microsoft Power BI reports & semantic models
• Experience with SQL-based analysis, data validation, data quality checks and root-cause investigation
• Strong analytical and problem-solving skills with experience coordinating cross-country stakeholders, and culturally diverse teams
• Strong communication and data storytelling skills, with the ability to present insights clearly to technical teams, business stakeholders and management
• High attention to detail, with the ability to deliver accurate, well-documented and high-quality analytics products within agreed timelines
• Ability to work independently in an agile environment while collaborating effectively with product owners, data engineers and business users
• Leverage AI-assisted development practices responsibly to accelerate prototyping, improve documentation quality, strengthen testing coverage and reduce effort in analytics product delivery
• Understanding of automotive processes is an advantage

KNOWLEDGE/SKILL

• Microsoft Power BI knowledge, including data modelling, DAX, Power Query, semantic models, workspace management and report performance optimization
• Strong SQL skills, including data validation and query optimization
• Microsoft Azure, Databricks, Lakehouse concepts and modern cloud-based analytics architecture
• Data modelling concepts, KPI standardization, data lineage, metadata documentation and data governance principles
• Agile project tool & delivery management
• Data storytelling, stakeholder communication