Role Overview
We are seeking a highly analytical and data-driven Data Analyst with 1–3 years of experience in Python, SQL, and Big Data technologies. The ideal candidate will be responsible for transforming large and complex datasets into actionable business insights, building scalable data solutions, and supporting strategic decision-making across the organization. The role requires solid technical expertise in data analysis, data processing, and query optimization, along with the ability to communicate findings effectively to both technical and non-technical stakeholders.

Key Responsibilities
Data Analysis & Insights
Analyze large-scale structured and unstructured datasets to identify trends, patterns, and business opportunities.
Perform exploratory data analysis and generate actionable insights to support business objectives.
Translate business requirements into data-driven solutions and recommendations.
SQL & Database Management
Write complex and optimized SQL queries for large-scale data extraction, transformation, and analysis.




Design and maintain productive data models and reporting datasets.
Improve query performance and optimize database operations for large data settings.
Python Development & Automation
Develop Python scripts for data processing, automation, and analytical workflows.
Build reusable data pipelines and automation frameworks to improve operational efficiency.
Perform data cleansing, transformation, and validation to ensure data quality.
Big Data & Cloud Analytics
Work with Big Data technologies such as BigQuery, Spark, and Hadoop to process high-volume datasets.
Support the development and optimization of distributed data processing pipelines.
Leverage cloud-based analytics solutions, particularly within the GCP ecosystem.
Reporting & Visualization
Create dashboards, reports, and visualizations to communicate key business metrics and trends.
Collaborate with stakeholders to define KPIs and reporting

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