Business Intelligence Developer

4 weeks ago


Bengaluru, India Quantzig Full time

About Quantzig:


We are one of the world’s foremost full-service advanced analytics and business intelligence solution providers. We turn clients’ complex, unstructured data into intelligent, actionable insights that enable them to solve complex business problems and inspire innovation, change, and growth. We take on a wide range of projects, ranging from business intelligence and reporting, AI, IoT, and automation, to advanced analytics.

Our insights have helped over 120 clients spanning across industries and sectors like Pharmaceutical and Life Sciences, Retail and CPG, Food and Beverage, and more. We have successfully delivered 1500 in-depth solutions in areas like Marketing Analytics, Customer Analytics, Supply Chain Analytics, and more.


What do we look for?

Job Title: Cube Developer

Location: Hybrid

Experience: 4-8 years


Job Description:

Responsibilities:

  • Develop Power BI Data models using Tabular Editor tool in cloud environment.
  • Design and maintain efficient data model architecture to handle large size input data.
  • Make technological adjustments to existing BI systems to improve the performance.
  • Optimize data size and DAX queries, implement portioning and archival concept and query tuning.
  • Analyze existing ETL procedures to create new BI systems.
  • Troubleshoot reporting issues and work on improving report performance.
  • Create and modify tables, views, optimize SQL queries and indexes.
  • Manage stakeholders and drive timely execution of projects using agile methodologies.
  • Lead and guide BI developers on technical skills and best practices.


Desired Skillset:

  • University degree in Computer Sciences or a similar field of studies
  • 4-8 years of hands-on experience in Tabular model development and maintenance as per reporting requirements
  • Very good hands-on experience working with Tabular Editor tool, DAX query, SQL and M-query.
  • Proficient in doing advanced-level computations on large datasets.
  • Understanding data and query optimization, query profiling, and query performance monitoring tools and techniques
  • Deep knowledge in database concepts, T SQL, writing SQL queries and stored procedures.
  • Very high data affinity and strong analytical skills

Knowledge of Azure cloud technologies (good to have)


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