At Bime Bazar (Neo Department), data is at the core of every business decision. As a Senior Business Finance Data Analyst, you will build the analytics foundation that powers our Business Finance & Strategy team.

You will design and automate dashboards, develop data models, improve reporting infrastructure, and transform complex business data into meaningful insights. Working closely with Finance, Underwriting, Commercial, Claims, Operations, and Technology teams, you will ensure leadership has accurate, timely, and actionable information to support strategic decision-making.

Key Responsibilities

Business Intelligence & Reporting

• Develop and maintain executive dashboards and KPI reports.
• Build automated reporting solutions for business and financial performance.
• Improve reporting quality, speed, and scalability.
• Ensure data accuracy and consistency across reports.

Data Analytics

• Analyze business, operational, and financial data to identify trends and insights.
• Develop performance metrics and KPI frameworks.
• Support ad-hoc analysis for strategic initiatives.
• Translate business questions into analytical solutions.

Data Management & Automation

• Design and optimize data models for reporting and analytics.
• Automate recurring reports and data processes.
• Improve data quality, governance, and documentation.
• Collaborate with technology teams to enhance data availability.

Cross-Functional Business Partnering

• Partner with Finance, Commercial, Underwriting, Claims, and Operations teams.
• Support leadership with data-driven insights.
• Enable better decision-making through reliable analytics and visualization.

Requirements

Education & Experience

• Master’s degree in Computer Science, Industrial Engineering, Finance, Economics, Statistics, or a related field.
• 3 years of experience in Business Intelligence, Data Analytics, Data Science, Financial Analytics, or Business Analytics.
• Experience in fintech, insurtech, insurance, or financial services is a plus.

Technical Skills

• Strong SQL and database querying skills.
• Advanced Excel proficiency.
• Strong experience with Business Intelligence and data visualization tools.
• Strong Python programming skills for data analysis and automation.
• Experience in data modeling, data transformation, and reporting automation.
• Familiarity with ETL processes and data pipelines.
• Ability to work with large datasets from multiple business systems.