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Senior Data Analysis with 8+ years in Business Intelligence & Financial Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Senior Data Analyst with nearly 5 years of experience delivering Business Intelligence, Financial Analytics, and KPI reporting solutions across Insurance, Banking, and FinTech. Expert in Power BI (DAX, Power Query), SQL, Python, Tableau, and Advanced Excel - designing executive dashboards, automating reporting pipelines, and translating complex datasets into clear business narratives for senior stakeholders. Proven record of reducing manual reporting effort by 35-50%, improving operational visibility, and enabling data-driven decisions across Finance, Operations, and Customer Analytics domains. Core competencies span Revenue Analytics, Sales Analytics, Predictive Forecasting, Customer Segmentation, Risk Analytics, Operational Reporting, and Stakeholder Management.
Cultural Fit Analysis
The candidate has experience across multiple industries (Insurance, Banking, FinTech) and a diverse set of projects, indicating adaptability and a broad understanding of different business contexts. Their focus on delivering solutions that enable data-driven decisions and improve operational efficiency aligns well with a performance-driven culture. The pursuit of an MBA in AI & Machine Learning and a PGDM in Data Science & Analytics, along with numerous certifications, demonstrates a commitment to continuous learning and professional development. However, the lack of specific team collaboration or leadership roles in the project descriptions limits the assessment of cultural fit beyond technical contributions.
Soft Skills & Operational Fit
The candidate's resume highlights strong problem-solving skills through scenario-based project descriptions and a focus on delivering actionable insights. Their experience in partnering with cross-functional teams indicates good collaboration and communication skills. The emphasis on automating processes and improving efficiency suggests a proactive and results-oriented work attitude. However, without psychometric or English test results, a comprehensive assessment of soft skills and operational fit is limited.