Description:

Key Responsibilities

- Collect, clean, validate, and analyze large volumes of structured and unstructured data.

- Develop and optimize SQL queries for data extraction, reconciliation, validation, and reporting.

- Create interactive dashboards and visualizations using Power BI, Looker Studio, or similar BI tools.

- Perform data mining, trend analysis, root cause analysis, and predictive analytics.

- Develop automated reporting solutions using Python and Advanced Excel.

- Support business stakeholders with actionable insights and KPI reporting.

- Collaborate with cross-functional teams to improve data quality and governance.

- Design and maintain ETL processes for effective data movement and transformation.

- Monitor data integrity, identify anomalies, and implement corrective actions.

- Support machine learning and advanced analytics initiatives through data preparation and feature engineering.





- Drive process improvement and operational efficiency initiatives using data-driven approaches.

Technical Skills

- SQL (Advanced)

- Python

- Advanced Excel

- Power BI

- Looker Studio

- BigQuery

- Google Cloud Platform (GCP)

- Data Analytics & Data Visualization

- ETL Development

- Business Intelligence

- Data Quality Management

- Dashboard Development

- Predictive Analytics

- Machine Learning Fundamentals

- Statistical Analysis

Mandatory skills

- SQL (Advanced)

- Python

- Advanced Excel

- Power BI

- Looker Studio

- BigQuery

- Google Cloud Platform (GCP)

- Data Analytics & Data Visualization

- ETL Development

- Business Intelligence

- Data Quality Management

- Dashboard Development

- Predictive Analytics

- Machine Learning Fundamentals

- Statistical Analysis

📌 Business Analyst (Bengaluru)
🏢 SRS Infoway
📍 Bengaluru