Senior Analyst Business Intelligence Analytics

Overview

Senior Analyst in the Specialized Ops Analytics & Automation team, delivering BI dashboards, reporting solutions and data automation that turn enterprise data into actionable insights.

What you'll do

• Design, develop, and maintain interactive dashboards and reports using Amazon QuickSight and Microsoft Power BI.
• Develop efficient and scalable SQL queries to extract, transform, and analyze data from Amazon Redshift and other enterprise data sources.
• Build automated reporting and analytics solutions using Python, SQL, and cloud-based technologies.
• Perform exploratory data analysis to identify trends, business drivers, risks, and opportunities.
• Partner with business stakeholders to gather reporting requirements and translate them into impactful BI solutions.
• Optimize existing dashboards and reporting processes for improved performance, scalability, and user experience.
• Develop reusable datasets, semantic models, and reporting standards to promote self-service analytics.
• Support data validation, reconciliation, and quality assurance activities to ensure reporting accuracy.
• Automate manual reporting processes to improve operational efficiency and reduce turnaround time.
• Mentor business users on BI best practices and promote data literacy across the organization.
• Collaborate with data engineering teams on data modeling, ETL enhancements, and reporting architecture.

What you'll need

• Bachelor's or Master's degree in Computer Science, Information Systems, Statistics, Mathematics, Engineering, Business Analytics, Finance, or a related quantitative discipline.
• 2–6 years of experience in Business Intelligence, Data Analytics, Reporting, or Data Engineering.
• Hands-on experience developing dashboards using Amazon QuickSight and/or Microsoft Power BI.
• Strong experience writing complex SQL queries and working with large datasets in Amazon Redshift or similar cloud data warehouse platforms.
• Experience using Python for data analysis, automation, reporting, or ETL processes.
• Experience working with relational and dimensional data models.
• Strong proficiency in SQL, including query optimization and performance tuning.
• Hands-on experience with Amazon Redshift.
• Strong expertise in Amazon QuickSight and Microsoft Power BI, including dashboard development, data modeling, calculated fields, DAX (Power BI), and visual best practices.
• Experience with Python libraries such as Pandas, NumPy, or similar for analytics and automation.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong understanding of data visualization principles and storytelling with data.
• Knowledge of ETL concepts and cloud-based analytics architecture.
• Ability to work independently while collaborating effectively across cross-functional teams.
• Strong verbal and written communication skills with the ability to present technical findings to business stakeholders.

Nice to have

• Experience integrating data from multiple enterprise systems and APIs.
• Experience working in Agile environments.
• Experience with Alteryx for workflow automation and data preparation.
• Knowledge of AWS analytics services (S3, Glue, Athena, Lambda, or EMR).
• Exposure to Git, CI/CD, or DevOps practices for BI development.
• Experience working in Financial Services, Wealth Management, or Banking domains.

Details

• Location: Bangalore, Karnataka, India.