Data Analyst

We are looking for a detail-oriented and skilled Data Analyst to support our data-driven decision-making processes. In this role, you will be responsible for developing data pipelines, building dashboards, and delivering actionable insights using tools such as Databricks, Python, PL/SQL, and Tableau. You will also contribute to the development of basic machine learning models to support predictive and classification use cases. You will collaborate closely with business and technical teams to ensure data accuracy, accessibility, and integrity.

Job Title: Data Analyst
Experience Required: 2 to 4 years
Location: Bangalore
Job Type: Full-time

Job Description

Key Responsibilities

Data Analysis & Reporting

• Analyze structured and semi-structured data to uncover trends, insights, and opportunities.
  
• Design interactive dashboards and reports in Tableau for business stakeholders.
  
• Interpret data to identify key metrics, patterns, and anomalies.

Data Pipeline & ML Support

• Assist in building and maintaining ETL pipelines using Airflow, Databricks, and Python.
  
• Ensure timely and accurate data flow across systems.
  
• Contribute to the development and deployment of basic machine learning models for forecasting, segmentation, or classification tasks.

SQL & Data Handling

• Write and optimize PL/SQL queries for extracting and transforming data.
  
• Conduct data validation and ensure data consistency across reports and dashboards.

Collaboration & Communication

• Work closely with product, business, and engineering teams to understand data needs.
  
• Translate business questions into analytical tasks and deliver results with clear narratives.

Data Quality & Governance

• Support efforts to improve data accuracy, integrity, and governance.
  
• Monitor data pipelines and troubleshoot issues as needed.
  

Required Skills & Experience

• 2–4 years of experience in data analysis or a similar role.
  
• Proficiency in SQL/PL-SQL, Python, and Tableau.
  
• Exposure to cloud-based data platforms such as Databricks, AWS, or GCP.
  
• Basic understanding of machine learning concepts and hands-on experience with simple ML models (e.g., regression, classification) in Python.
  
• Strong analytical mindset with attention to detail.
  
• Ability to communicate insights clearly through visualizations and storytelling.
  
• Familiarity with data quality practices and pipeline monitoring.