Infineon - Senior Business Intelligence Analyst - Product Marketing

Senior Business Intelligence Analyst - Product Marketing

As a key member of our group, you will play a critical role in driving business success by developing and implementing a framework for data-driven decision-making for the product marketing and product management teams. You will leverage your expertise in business intelligence, marketing analytics and data science to drive business growth and improvement.
Key Responsibilities:
1. Data Analysis and Insights: Conduct in-depth data analysis to identify gaps, trends, and patterns, and interpret findings to provide actionable insights that support business objectives.
2. Data Visualization and Reporting: Design, develop, and maintain regular and ad-hoc reports, dashboards, and scorecards to communicate key performance indicators (KPIs) and insights to various stakeholders.
3. Data Science and Machine Learning: Apply data science and machine learning concepts to perform classification, segmentation, and forecasting. This includes developing and deploying models using techniques such as regression, decision trees, clustering, and neural networks.

4. Automation and Data Flows: Design, develop, and maintain automated data flows to support business decision-making. This includes setting up datalakes and pipelines.
5. Collaboration and Communication: Collaborate with cross-functional teams to share insights, identify areas for improvement, and inform strategic decisions.
6. Key Performance Metrics and Dashboards: Develop and maintain key performance metrics and dashboards to drive business growth and improvement.
Technical Requirements:
1. Proficiency in data analysis and visualization tools such as Tableau, Power BI, and Excel, Powerpoint and experience with data science and machine learning libraries such as Python, R, TensorFlow, and PyTorch.
2. Strong knowledge of data management principles and practices, including databases, data governance, and data quality.
3. Understanding of business fundamentals and revenue/margin/opportunity analysis
Profile:
3-5 years' experience a data-driven professional with a strong analytical understanding and a passion for leveraging data to drive business growth.
Education Requirements:
1. Undergraduate degree in Electronics, Computer Science, Data Engineering or a related field with a strong understanding of data science and analytics concepts and good problem solving skills.
2. Nice to Have:
- MBA with a focus on Analytics, Marketing or Strategy
- Experience with semiconductor industry tools and data sets.
- Certifications in data science, machine learning, or a related field.