Job Description

We are looking for an experienced and analytical Business Data Analyst to join our team and turn data into actionable insights that support business performance and data-driven decision-making.

In this role, your primary focus will be on analyzing business data, defining and monitoring KPIs, building analytical dashboards, and identifying performance and improvement opportunities.

You will work as an analytical partner to business stakeholders, translating complex and fragmented data into clear insights that help teams understand performance, identify bottlenecks, and make better decisions.

The role involves close collaboration with Operations, Finance, Product, and Data/IT teams to translate business needs into data solutions and ensure the accuracy and reliability of data and reporting.

Key Responsibilities

• 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.

Requirements

Experience & Education

• 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.

Technical Skills

• 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.

Soft Skills & Competencies

• 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.

Nice to Have

• 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.