Senior Data Analyst

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Work Location

Key Responsibilities

• Analyze large, complex datasets from diverse sources (e.g., data lakes, cloud platforms, Databricks) to uncover trends, anomalies, and opportunities.
• Design and develop visually engaging dashboards and reports that clearly communicate insights and support strategic decision-making.
• Understand the business context behind the data and craft visualizations that not only inform but inspire action.
• Translate business requirements into analytical solutions that align with organizational goals.
• Collaborate with cross-functional teams including Data Architects and Engineers. Qualifications:
• Bachelors or Masters degree in Data Science, Engineering, Computer Science, Statistics, or a related field.
• 58 years of experience in data analysis, preferably within the semiconductor or high-tech manufacturing industry.
• Deep knowledge of data modeling concepts, data architecture, and data flow design across modern data ecosystems.
• Proficiency in SQL and Databricks SQL for querying and transforming large-scale datasets.
• Expertise in data visualization tools such as Power BI and Tableau, with a strong portfolio of dashboards that demonstrate storytelling, interactivity, and business insight.
• Ability to translate complex data into intuitive, interactive, and aesthetically pleasing visualizations that answer specific business questions.
• Experience with modern data platforms (e.g., Snowflake, Databricks) and cloud environments (Azure, AWS, or GCP).
• Nice to have: Experience with Python or R for statistical analysis or machine learning. Education: Bachelor’s Degree (Required) Skills:
• SQL, Databricks SQL • Power BI, Tableau (strong visualization and storytelling skills)
• Data modeling, data architecture, data flow design
• Either of Snowflake Databricks
• Data storytelling and business insight generation
• Python or R (nice to have) General Shift