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Quest Global

Engineering services, digital transformation, asset management

Data Analyst - Tableau developer

Business IntelligenceConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • Strong hands-on experience developing Tableau dashboards, including data modeling, complex calculations, performance optimization, and troubleshooting.
  • Ability to understand business requirements, analyze large datasets, and write complex SQL queries for data validation and reporting.
  • Experience with data transformation, data preparation, and ETL/ELT processes.
  • Understanding of relational databases, data warehousing concepts, joins, data models, and working with large datasets.

Responsibilities

  • Develop Tableau dashboards, 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.
  • Perform data transformation, data preparation, and ETL/ELT processes.
  • Work with relational databases, data warehousing concepts, joins, data models, and large datasets.
  • Develop Python solutions involving generative AI, large language model integrations, and AI-driven data analytics.

Desired Qualifications

  • Experience with dbt.
  • Python skills involving generative AI, large language model integrations, and AI-driven data analytics solutions.

About the Company

Quest Global

Engineering services, digital transformation, asset management

QuEST Global provides engineering and lifecycle services across aerospace, automotive, energy, healthcare, and transportation, focusing on digital transformation and asset management. It uses edge computing, cloud, AI/ML, and industrial IoT to deliver tailored engineering solutions through long-term partnerships, service contracts, project-based engagements, and strategic collaborations. It differentiates itself with a broad industry footprint, global delivery model, and emphasis on partnerships, talent development, and workplace culture. Its goal is to help clients improve operational efficiency and drive business growth by transforming engineering processes and assets with digital tools and data-driven management.

Company size
10,001+
Company stage
Growth Equity (Venture Capital)
Total funding
$581M
Headquarters
Greenville, SC
Founded
1997

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