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Arpit Amin

Arpit Amin

Business Data Analyst

Talent
OshawaMember since April 20, 2026
Power BISQLDAXPythonTableauSQL Server Management Studio (SSMS)Data ModelingETL DevelopmentExploratory Data Analysis (EDA)Predictive AnalyticsStored ProceduresData Quality AuditsData GovernanceRisk AnalyticsChurn AnalysisSemantic Data ModelingStar SchemaMedallion ArchitectureRow-Level Security (RLS)JiraConfluenceMicrosoft VisioExcelComplex JoinsCommon Table Expressions (CTE)Window FunctionsRequirement GatheringStakeholder ManagementPandasNumPy
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Power BISQLDAXPythonTableau

About

Highly analytical and results-driven Business Data Analyst with 5 years of experience leading Business Intelligence (BI) and analytics initiatives across Banking, Technology, and Retail. Expert in gathering requirements, building SQL-driven data pipelines, designing interactive dashboards in Power BI and Tableau to deliver insights that improve operational outcomes. Proven track record of optimizing data workflows to achieve a 60% reduction in manual effort and ensuring high-integrity datasets for enterprise reporting.

Skilled in writing complex SQL queries, stored procedures, and performing Exploratory Data Analysis (EDA) to support strategic decision-making and risk mitigation.

Experience

Business Data Analyst at Citadel Mortgages (2024-08 – Present)

Led BI solutions for tracking and forecasting loan portfolio performance. Designed an advanced dashboard suite and risk score system that improved loan exposure visibility by 30% and supported enhanced compliance reporting.

  • Automated recurring analytics via Power BI Service, reducing manual reporting effort by 60%.
  • Delivered data-driven insights that directly informed credit policy and risk mitigation strategies.
  • Built predictive score models to assess default probability based on borrower history.
  • Performed Python-based EDA to validate data quality and identify early delinquency indicators.
  • Engineered ETL pipelines using SQL to integrate multi-source data into a Medallion Architecture.
  • Analyzed large-scale loan portfolio for performance, delinquency trends, and credit risk exposure.
  • Designed Power BI dashboards to visualize loan disbursements, default rates, and regional exposure.
  • Created portfolio risk heatmaps and executive dashboards for quarterly board and compliance reviews.
  • Developed Tableau dashboards to perform exploratory analysis and validate Power BI insights for loan performance monitoring.
  • Collaborated with credit and compliance teams to gather requirements, document BRD and FRD, define KPIs, and translate needs into BI specifications.

Business Data Analyst at MBC Managed IT Services (2023-03 – 2024-06)

Supported a company-wide data governance framework by delivering BI tools that standardized data definitions, enhanced quality visibility, and improved issue resolution time by 40%.

  • Delivered BI solutions to support enterprise-level data governance and quality initiatives.
  • Improved data issue resolution time by 40% through Power BI and Jira integrated reporting.
  • Used Advanced SQL to detect anomalies, duplicates, and inconsistencies across CRM and ERP.
  • Conducted Python-based data profiling to assess completeness, consistency, timeliness, and validity.
  • Designed Power BI dashboards to track data quality KPIs and governance compliance metrics.
  • Automated dashboards connected to Jira for tracking data quality issue backlogs and resolution timelines.
  • Developed DAX-driven trend analysis to monitor recurring data quality issues and resolution progress.
  • Published refreshable dashboards via Power BI Service for governance council and leadership reviews.

Business Data Analyst at Rexall (2021-02 – 2022-12)

Led the development of a churn prediction dashboard and retention framework that reduced churn by 18% in one year while improving customer segmentation strategies and loyalty program success.

  • Reduced customer churn by 18% through Power BI analytics and SQL-based customer segmentation.
  • Built churn risk models based on purchase frequency, inactivity duration, and return behavior.
  • Conducted exploratory analysis in Python to validate segmentation and churn indicators.
  • Architected semantic data models and DAX-driven dashboards to track customer behavior and churn across demographics.
  • Implemented DAX logic to flag high-risk customers and trigger alerts for business teams.
  • Integrated CRM feedback scores with churn indicators to create a 360-degree customer view.
  • Automated weekly churn dashboards with drill-down and filtering capabilities.

Education

Graduate Certificate in Project Management – Durham College

Fast Track in Mechanical Engineering Technician – Design – Centennial College

Bachelor of Engineering in Mechanical – North Maharashtra University

Skills

Business Data Analyst

Reviews

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