Data Analyst - Tableau developer
About The Position
Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries. We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we’re eager to hear from you.
Requirements
- Strong hands-on experience in Tableau dashboard development, including data modeling, complex calculations, performance optimization and troubleshooting.
- Strong analytical skills with the ability to understand business requirements, analyze large datasets and write complex SQL queries for data validation and reporting.
- Good experience with data transformation, data preparation and ETL/ELT processes.
- Good understanding of relational databases, data warehousing concepts, joins, data models and working with large datasets.
- Good to have Python skills with Generative AI, LLM integrations and AI-driven data analytics solutions.
Nice To Haves
- Experience with DBT is preferred.
- Python skills with Generative AI, LLM integrations and AI-driven data analytics solutions.
Responsibilities
- Tableau dashboard development, including data modeling, complex calculations, performance optimization and troubleshooting.
- Understand business requirements, analyze large datasets and write complex SQL queries for data validation and reporting.
- Data transformation, data preparation and ETL/ELT processes.
- Relational databases, data warehousing concepts, joins, data models and working with large datasets.
- Python development with Generative AI, LLM integrations and AI-driven data analytics solutions.
Benefits
- health insurance
- paid time off
- retirement plan
- 401(k) matching
- Dental insurance
- Vision insurance
- Employer paid Life Insurance, Short- & Long-Term Disability
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
