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Senior Data Insights Engineer
1 week ago
We are seeking a highly skilled Senior Data Insights Engineer to join our team at Qualcomm Technologies, Inc. As a key member of our Engineering Group, you will play a crucial role in developing scalable cloud services and infrastructure for our next-generation IoT products.
The ideal candidate will possess deep expertise in data analysis, visualization, and business intelligence, with experience in utilizing various tools and languages such as SQL, Tableau, Power BI, and Python/R. You will work closely with cross-functional teams to gather requirements, mine large datasets, and create insights that drive strategic business decisions.
This is an excellent opportunity to leverage your technical skills and business acumen to make a meaningful impact on the company's success. If you are a motivated and detail-oriented individual with a passion for data-driven decision making, we encourage you to apply for this exciting role
Key Responsibilities:
- Utilize business analysis, metrics, reporting, and analytic tools/languages to translate data into actionable insights.
- Develop and maintain complex SQL queries, ETL processes, and data visualizations to support business needs.
- Work collaboratively with scientists, software engineers, data engineers, and business analysts to identify business opportunities and drive insights.
- Conduct deep dive analyses of business problems and formulate recommendations for senior leadership.
Requirements:
- Bachelor's degree in Statistics, Economics, Math, Finance, Engineering, Computer Science, or a related quantitative field.
- At least 1+ years of experience using SQL to query data from databases/data warehouses/cloud data sources (e.g., Redshift, MySQL, PostgreSQL, MS SQL Server, BigQuery, etc.).
- Experience with data visualization using Tableau, Power BI, Quicksight, or similar tools.
- Ability to operate successfully and independently in a fast-paced environment.
- Comfort with ambiguity and eagerness to learn new skills.
- Knowledge of Cloud Services AWS, GCP and/or Azure is a must.