Perform technical data analysis and create datasets that describe business questions, operational processes, and customer journey performance.
Analyze operational metrics and Key Performance Indicators (KPIs) to identify trends, root causes, and cause-and-effect relationships between key business drivers.
Perform statistical analysis on various datasets to derive actionable insights and improve business outcomes.
Translate complex data into useful insights to support critical business decisions and inform operational actions.
Ensure data integrity, consistency, and quality across reporting, dashboarding, and analytical datasets.
Automate manual activities, improve data quality controls, and bring productivity improvements to data workflows.
Build, publish, and maintain interactive Tableau reports and dashboards that provide clear visibility into key business metrics.
Partner with Data Product, Data Engineering, Reporting, and Analytics teams to strengthen governed self-service reporting capabilities.
Support Agile delivery cycles, including requirement clarification, backlog refinement, testing, rollout, documentation, and stakeholder communication.
- Your profile
- Qualifications and skills to help you succeed
Bachelor's or master’s degree in computer science, Mathematics, Statistics, Engineering, or a related quantitative field.
With 3 to 8 years of relevant applied work experience in data analytics, business intelligence, data engineering, data products or quantitative analysis.
Proven ability to work with large and complex datasets from multiple sources, including collecting, consolidating, analyzing, and synthesizing data.
Strong analytical thinking, problem-solving ability, and a passion for deriving measurable business value from data.
Hands-on experience and in-depth technical knowledge of SQL programming and database concepts.
Hands-on experience with self-service BI and visualization tools, preferably Tableau, including dashboard design, publishing, and performance optimization.
Experience building or working with Data Products, including dataset ownership, governance, data modeling, quality checks, metadata, and lifecycle management.
Experience in Data Engineering concepts such as ETL/ELT pipelines, data transformation, orchestration, performance optimization, and reusable data assets.
Experience extracting, transforming, and modeling datasets using database queries and big data environments such as Hadoop, Spark, Databricks, or similar platforms.
Programming experience with PySpark mandatory, and exposure to Python and/or Java preferred.
Experience designing dimensional models, data marts, curated datasets, or analytical layers for reporting and business consumption.
Understanding of data governance, data quality frameworks, data lineage, and secure data access principles.
Experience managing Agile implementation cycles, rollouts, stakeholder engagement, and delivery tracking.
Self-motivated, proactive, get-things-done team member focused on improving data quality, automation, and business impact.
This is a contract role under 3rd party payroll partner and entitled to benefits according to partner company.
#WeAreIn for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener. Are you in?
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We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity.
Our hiring decisions are based on skills and experience. Even if you don’t meet every requirement, we encourage you to apply.
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