Job Title: Data Analyst – Databricks / DBT(Immediate Joiners)

Experience: 8+ Years

Work Mode: Hybrid

Location: Bangalore, Chennai, Hyderabad, Gurgaon

Domain: Banking / Financial Services

Role Overview

We are seeking an experienced Data Analyst with strong expertise in Data Analysis, Databricks, DBT, and SQL to support data analytics and reporting initiatives. The role involves analyzing large datasets, building data transformation models, and generating insights to support business decision-making.

The ideal candidate will have strong hands-on experience in data analysis, data modeling, and modern data platforms, with the ability to work closely with business stakeholders and technical teams to translate data into actionable insights.

Mandatory Skills

- Data Analysis
- Databricks
- DBT (Data Build Tool)
- SQL (Advanced queries, joins, aggregations, window functions)

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 support reporting and dashboard development.
- Perform data validation, cleansing, and quality checks to ensure data accuracy and consistency.
- Work with Delta Lake and data lake environments to analyze structured and semi-structured data.
- Collaborate with data engineers, analysts, and business stakeholders to understand data requirements.
- Support development of reports, dashboards, and business insights using analytical datasets.
- Document data definitions, transformations, and analytical logic.

Required Technical KnowledgeData Analysis

- Strong ability to analyze complex datasets and derive actionable insights
- Experience performing exploratory data analysis (EDA)
- Ability to translate business requirements into analytical queries

Databricks

- Experience working with Databricks notebooks for data analysis
- Querying large datasets using Spark SQL
- Understanding Databricks Lakehouse architecture

Data Transformation

- Experience building data models and transformations using DBT

Data Architecture

- Understanding of Medallion Architecture (Bronze / Silver / Gold)
- Knowledge of data lake and data warehouse concepts

SQL

- Advanced SQL skills including:
- Joins
- Aggregations
- Window functions
- Query optimization

Preferred Experience

- Experience working with Banking or Financial Services data platforms
- Exposure to data visualization tools (Power BI, Tableau, Looker, etc.)
- Experience working with cloud-based data platforms
- Understanding of data governance and data quality frameworks

Candidate Profile

We are looking for candidates with strong hands-on experience in data analysis and modern data platforms.

The ideal candidate should:

- Have practical experience analyzing large datasets and generating business insights.
- Demonstrate strong SQL and DBT data transformation skills.
- Have hands-on experience working with Databricks-based analytics platforms.
- Be able to work closely with business stakeholders to translate data into actionable insights.