Data Analyst, Senior

Qualcomm

Qualcomm, through its subsidiary QT Technologies Ireland Limited, is looking for a Senior Data Analyst to join their team. This position is critical for analyzing complex datasets and generating actionable insights that support business decisions. The role involves collaboration with data engineering teams and other global teams to maintain efficient data operations and drive strategic decision-making.

In this role you can expect to have the responsibilities:

• Analyze large datasets from structured and unstructured sources using big data tools to identify trends and insights.
• Apply statistical techniques such as regression analysis and hypothesis testing to develop predictive models.
• Clean and preprocess datasets, implementing ETL processes to ensure data accuracy and consistency.
• Create data visualizations, dashboards, and infographics to effectively communicate findings.
• Deliver reports and presentations to stakeholders, translating complex data into actionable insights.
• Collaborate with data engineering teams to optimize data infrastructure for scalability and efficiency.
• Utilize big data frameworks and cloud-based solutions for efficient data management.

This role requires you to have:

• Expertise in statistics, big data, and data visualization.
• Proficiency in SQL, Python, R, Hadoop, and Apache Spark.
• Experience with statistical methods and predictive modeling.
• Ability to create compelling data visualizations using Tableau, Power BI, or D3.js.
• Experience with ETL processes and large-scale data processing.
• Strong communication skills to convey technical results to non-technical audiences.

You would benefit from having:

• Experience with cloud-based data environments like AWS, Google Cloud, or Azure.
• Ability to collaborate with global teams and influence strategic decision-making.

Qualcomm is an equal opportunity employer committed to providing accommodations for individuals with disabilities throughout the hiring process. Employees are expected to follow all company policies and protect confidential information.