Data Engineer and Business Intelligence Analyst

1 day ago


Bengaluru, Karnataka, India Quantzig Full time

About Quantzig:

We are a global analytics and advisory firm with offices in the US, UK, Canada, China, and India. Our team has assisted clients across the globe with end-to-end advanced analytics, visual storyboarding, Machine Learning, and data engineering solutions implementation for prudent decision-making.

As a Data Engineer and Business Intelligence Analyst, you will take ownership of entire projects end-to-end, help build a team with great work ethic, and drive to learn. You will be part of our growth story, leveraging your strong collaboration skills and ability to extract valuable insights from complex data sets.

About the Role:

The ideal candidate is passionate about learning, data, scale, and agility. You will ask the right questions, find the right answers, and make data-driven decisions that inspire innovation, change, and growth across the organization value chain.

Salary: $120,000 - $180,000 per year

Required Skills and Qualifications:

  • Technical Expertise:
  • Advanced proficiency in Power BI and SQL.
  • Experience with Medallion Architecture or similar layered data frameworks.
  • Strong knowledge of Azure services, including Azure SQL, Synapse Analytics, and Data Factory.
  • Hands-on experience with building and managing ETL pipelines.
  • Soft Skills:
  • Excellent communication and interpersonal skills.
  • Ability to manage and align multiple stakeholder expectations.
  • Strong analytical mindset with problem-solving capabilities.
  • Experience:
  • Bachelor's degree in computer science, Hybrid BI, or a related field.
  • 4-6 years of relevant experience in data engineering & PBI or similar roles.

About Quantzig: We have developed exceptional expertise in advanced analytics and business intelligence solutions for transforming global organizations. We harness the power of intelligent, actionable insights to solve complex problems and inspire innovation, change, and growth across the organization value chain.



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