Business Data Analyst

• Design, develop, and maintain dashboards and analytical reports for business stakeholders.
• Define, standardize, and monitor business and operational KPIs, such as SLA compliance, cycle time, error rates, volume, unit cost, and productivity.
• Analyze business performance to identify trends, anomalies, and performance deviations.
• Conduct in-depth data analysis and Root Cause Analysis (RCA) to identify underlying causes of performance issues, business challenges, and process bottlenecks.
• Transform complex, multi-source datasets into clear, actionable insights for business leaders and stakeholders.
• Evaluate the quantitative impact of process changes, policy updates, and business initiatives.
• Address analytical questions and business problems and provide data-driven recommendations and solutions.
• Identify opportunities to improve business performance and processes through data analysis and provide actionable recommendations.
• Collaborate with Data Engineering and IT teams to ensure the accuracy, quality, and availability of data used in reporting and analytics.
• Validate data and metrics to ensure consistency and establish a reliable single source of truth.
• Manage and prioritize ad-hoc analytical requests while balancing them with longer-term BI and analytics initiatives.

• 3+ years of professional experience in Data Analysis, Business Intelligence, or a related analytical role.
• Previous experience working with Operations, E-commerce, Fintech, Insurtech, or other high-volume business environments is a plus.
• Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Economics, Mathematics, or a related quantitative field.

• Strong proficiency in SQL, including CTEs, Window Functions, Multi-table Joins, and complex data transformations.
• Hands-on experience building and maintaining dashboards using modern BI tools such as Metabase, Power BI, Tableau, or Looker.
• Strong understanding of KPI and Metric design, particularly for business and operational functions.
• Advanced proficiency in Excel, including Pivot Tables and Power Query.
• Solid understanding of statistics, trend analysis, variance analysis, and anomaly detection.
• Ability to work with large, multi-source datasets and transform them into meaningful business insights.

• Strong ability to understand business problems and translate them into data-driven analytical questions.
• Excellent Data Storytelling skills and the ability to communicate complex analytical findings to non-technical stakeholders.
• Strong stakeholder management and communication skills, particularly when working with business teams and leaders.
• High attention to detail and a strong commitment to data accuracy and integrity.
• Strong problem-solving and analytical thinking skills.
• Ability to manage multiple priorities and balance urgent analytical requests with long-term initiatives.
• High ownership, adaptability, and ability to thrive in a fast-paced environment.

• Experience with Python (Pandas, NumPy) or R for data manipulation and advanced analytics.
• Experience with A/B testing, experimentation, or statistical hypothesis testing.
• Familiarity with Git and version control systems.
• Previous experience in the Insurance / Insurtech industry.
• Experience working with high-volume operational data and business processes.