Senior Data Analyst

Key Skills: Power BI, Power Query, DAX, Python, PySpark, SQL, Palantir, Excel Macros, JavaScript, TypeScript, US GAAP, IFRS, Financial Reporting, Data Engineering, Insurance Analytics, MS Office, Dashboarding, Data Automation, Trend Analysis.

Roles and Responsibilities:

• Gathering the requirements of sub-BU teams like Market FP&A, Reporting & Controlling, etc., and ensuring data availability with granularities as needed by the teams
• Apply Big Data analytics for the gathering of data, and assess data validity
• Undertake requirements capturing on business questions to be addressed and related performance drivers and critical metrics
• Use knowledge of existing data to propose and provide insights on performance drivers
• Simplify the data & tools landscape: identify simplification opportunities within the BU where deliverables require a lot of manual effort & tasks are repetitive & recurring in nature, and try to automate them with the help of available tools
• Drive, build & own BU-specific tools and dashboards in coordination with other key teams to jointly drive forward BU-agnostic analysis tools for Market FP&A, R&C and other BU teams
• Responsible for performing data quality checks for all conducted and delivered tools & solutions
• Promote the tools & solutions built by our team while creating awareness of their utilities, capabilities, and benefits to the users within the BU and other cross-functional teams
• Maintain existing reporting platforms and perform change management activities as necessary
• Involvement in various other BU projects supporting planning and projections activities
• Use strong analytical, data processing, and communication skills to provide opinions and valuable input
• Quickly familiarize & adapt yourself with new and changing technologies and systems
• Work in close collaboration with colleagues in BU Finance and other cross-functional teams
• Contribute to ad-hoc projects and support other team members as required

Experience Requirement:

• 7-10 years of working experience in (re-)insurance analytics, MIS reporting, and data engineering
• Proficiency in Power BI, Power Query, and DAX
• Hands-on Python programming experience (preferably PySpark)
• Good experience with writing SQL queries
• Familiarity with Palantir tools is preferred
• Experience in Excel macros, JavaScript, TypeScript is a plus
• Basic understanding of financial reporting processes or familiarity with US GAAP and IFRS accounting frameworks is preferable
• Strong curiosity about/motivation to learn about insurance/reinsurance
• Identify, analyze and interpret trends and patterns in complex data sets, draw conclusions, and make recommendations to management to improve operational performance
• Make predictions that allow management to address issues proactively rather than reactively
• Demonstrated experience in simplifying manual reporting processes through automation
• Experience supporting planning and forecasting activities in financial environments
• Track record of delivering dashboard solutions and stakeholder engagement in global settings

Education: Any Post Graduation, Any Graduation