Senior Analyst Business Intelligence Analytics

Empower Retirement · Banking & Financial Services

KA Bangalore
On-site
Posted today
Apply by 28 Oct
Data & AI

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About the job

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them.

Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.

Empower India Specialized Ops Analytics & Automation team is seeking a highly motivated Senior Analyst to join our growing Analytics organization. As a key contributor, you will leverage modern Business Intelligence platforms, cloud data technologies, and advanced analytics to transform enterprise data into actionable insights. You will collaborate with business stakeholders and cross-functional teams to develop scalable reporting solutions, automate data processes, and enable data-driven decision-making across the organization.

The ideal candidate possesses strong analytical and problem-solving skills, hands-on experience with modern BI tools, and expertise in working with large datasets in cloud data warehouses. The candidate should thrive in a fast-paced environment, demonstrate excellent communication skills, and be passionate about delivering high-quality analytics solutions.

Key Responsibilities

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.

Educational Qualifications

Bachelor's or Master's degree in Computer Science, Information Systems, Statistics, Mathematics, Engineering, Business Analytics, Finance, or a related quantitative discipline.

Required Experience

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.

Experience integrating data from multiple enterprise systems and APIs is preferred.

Required Skills & Competencies

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.

Experience working in Agile environments is preferred.

Preferred Qualifications

Experience with Alteryx for workflow automation and data preparation.

Knowledge of AWS analytics services (S3, Glue, Athena, Lambda, or EMR) is an added advantage.

Exposure to Git, CI/CD, or DevOps practices for BI development.

Experience working in Financial Services, Wealth Management, or Banking domains is preferred

We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.

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