Data Modeler and Business Insights Specialist

5 days ago

Dindigul, Tamil Nadu, India beBeeDataAnalyst Full time ₹ 6,00,000 - ₹ 12,00,000
About the Role

This is a challenging opportunity for an experienced Data Analyst to join our team. As a key member of our analytics department, you will be responsible for designing and building scalable and reusable data models using tools like dbt (Data Build Tool).

You will collaborate with data engineers to ingest and transform data from various sources, ensuring data quality, consistency, and documentation across all datasets.

Additionally, you will work closely with analysts and business teams to understand data needs and deliver actionable insights.

This role requires a strong understanding of data warehousing concepts and ETL/ELT processes, as well as experience with Git and CI/CD workflows.

The ideal candidate will have 6+ years of experience in data engineering, analytics, or BI development, and proficiency in SQL and experience with dbt or similar data modeling tools.

We are looking for someone with excellent communication and collaboration skills who can analyze data & develop reports using Looker, Domo tools.

Key Skills
  • Data analysts with SQL skills who can analyze data & develop reports using Looker, Domo tools.
  • Experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
  • Familiarity with data modeling tools like dbt.
  • Strong understanding of data warehousing concepts and ETL/ELT processes.
  • Excellent communication and collaboration skills.

Benefits of the Job

This role offers the opportunity to work with a talented team of professionals who share your passion for data analysis and business insights.

You will have the chance to develop your skills and expertise in a fast-paced environment with opportunities for growth and professional development.

Requirements

To be considered for this role, you must have:

  1. A Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
  2. At least 6 years of experience in data engineering, analytics, or BI development.
  3. Proficiency in SQL and experience with data modeling tools like dbt.
  4. Familiarity with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
  5. Strong understanding of data warehousing concepts and ETL/ELT processes.
  6. Excellent communication and collaboration skills.

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