Data Analyst - Dbt & Databricks

Role Overview:

You will be an experienced Data Analyst specializing in Data Analysis, Databricks, DBT, and SQL to support data analytics and reporting initiatives. Your responsibilities will include analyzing large datasets, building data transformation models, and generating insights to aid in business decision-making. The ideal candidate will possess hands-on experience in data analysis, data modeling, and modern data platforms, working closely with business stakeholders and technical teams to convert data into actionable insights.

Key Responsibilities:

• Perform data analysis on large datasets to identify trends, patterns, and actionable insights.
• Analyze and query data using Databricks and SQL to support business reporting and analytics.
• Develop and maintain data transformation models using DBT.
• Create analytical datasets and data models to facilitate reporting and dashboard development.
• Conduct data validation, cleansing, and quality checks to ensure data accuracy and consistency.
• Collaborate with data engineers, analysts, and business stakeholders to comprehend data requirements.
• Support the development of reports, dashboards, and business insights using analytical datasets.
• Document data definitions, transformations, and analytical logic.

Qualification Required:

• Strong ability to analyze complex datasets and derive actionable insights.
• Experience performing exploratory data analysis (EDA).
• Ability to translate business requirements into analytical queries.
• Experience working with Databricks notebooks for data analysis.
• Querying large datasets using Spark SQL.
• Understanding Databricks Lakehouse architecture.
• Experience building data models and transformations using DBT.
• Understanding of Medallion Architecture (Bronze / Silver / Gold).
• Knowledge of data lake and data warehouse concepts.
• Advanced SQL skills including:
• Joins
• Aggregations
• Window functions
• Query optimization.

Additional Details:

The company is seeking candidates with hands-on experience in data analysis and modern data platforms. The preferred candidate should have practical experience in analyzing large datasets, strong SQL and DBT data transformation skills, experience working with Databricks-based analytics platforms, and be able to collaborate effectively with business stakeholders to translate data into actionable insights. Role Overview:

You will be an experienced Data Analyst specializing in Data Analysis, Databricks, DBT, and SQL to support data analytics and reporting initiatives. Your responsibilities will include analyzing large datasets, building data transformation models, and generating insights to aid in business decision-making. The ideal candidate will possess hands-on experience in data analysis, data modeling, and modern data platforms, working closely with business stakeholders and technical teams to convert data into actionable insights.

Key Responsibilities:

• Perform data analysis on large datasets to identify trends, patterns, and actionable insights.
• Analyze and query data using Databricks and SQL to support business reporting and analytics.
• Develop and maintain data transformation models using DBT.
• Create analytical datasets and data models to facilitate reporting and dashboard development.
• Conduct data validation, cleansing, and quality checks to ensure data accuracy and consistency.
• Collaborate with data engineers, analysts, and business stakeholders to comprehend data requirements.
• Support the development of reports, dashboards, and business insights using analytical datasets.
• Document data definitions, transformations, and analytical logic.

Qualification Required:

• Strong ability to analyze complex datasets and derive actionable insights.
• Experience performing exploratory data analysis (EDA).
• Ability to translate business requirements into analytical queries.
• Experience working with Databricks notebooks for data analysis.
• Querying large datasets using Spark SQL.
• Understanding Databricks Lakehouse architecture.
• Experience building data models and transformations using DBT.
• Understanding of Medallion Architecture (Bronze / Silver / Gold).
• Knowledge of data lake and data warehouse concepts.
• Advanced SQL skills including:
• Joins
• Aggregations
• Window functions
• Query optimization.

Additional Details:

The company is seeking candidates with hands-on experience in data analysis and modern data platforms. The preferred candidate should have practical experience in analyzing large datasets, strong SQL and DBT data transformation skills, experience working with Databricks-based analytics platforms, and be able to collaborate effectively with business stakeholders to translate data into actionable insights.