Job Description

General Summary:

Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5G's potential into world-changing technologies and products.

We are looking for a Data analyst to produce insights from the data through statistical analysis and modeling as required. Candidate will be part of a global cross-functional team that’s responsible for the large-scale data analysis and operational analytics for Qualcomm engineering teams.

As a Data Analyst, you should be experienced in exploratory analysis, deriving insights using statistical analysis and probabilistic estimation techniques. Proficiency in querying/transforming large datasets and visualizing datasets to present the story from data is required.

Minimum Qualifications

• Bachelor’s degree in Engineering/Statistics/Operations Research with 3+ years or Master’s degree in Engineering/Statistics/Operations Research with 1+ years of relevant experience in data analytics and statistical modeling
• Strong knowledge of SQL, Python (relevant packages for statistical analysis, modeling)
• Working knowledge of experiment design and hypothesis testing

Responsibilities

• Query big data systems and analyze terabytes of data to deliver on complex analytical deep dives to deliver insights
• Build statistical models to be able to perform descriptive, inferential, and predictive analytics to identify trends and relationships
• Define and conduct statistical hypothesis testing to ensure data reliability and soundness during all stages of processing and analysis
• Create data visualizations to present derived insights and build out operational visualizations to measure trend drifts and outliers

Preferred Qualifications

• Experience with statistical techniques such as statistical inference, time series modeling, experiment design and feature engineering
• Proficient with Python programming for data analysis (relevant packages)
• Experience with querying and analyzing large scale data sets
• Good understanding of classification, clustering, regression models
• Proficient with relational and non-relational databases
• Demonstrated experience in visually communicating insights
• Demonstrated experience in building analytical dashboards
• Experience with Object oriented programming, GIT or other version control systems
• Excellent communication and teamwork skills
• An analytical mind and quick objective decision making ability
• Experience with Modin/Vaex, Dask or PySpark, Plotly is a plus
• Passion for machine learning and predictive modeling
• Experience working in a distributed team and communicating across geographic boundaries

Job Tags

Similar Jobs