Summary
Overview
Work History
Education
Skills
Work Authorization:
Timeline
Generic

KHALID HASANOV

Ottawa,ON

Summary

Senior Data Analyst with 9+ years of experience delivering large-scale analytics across public finance, compliance, and program evaluation. Expert in Python, SQL, R, SAS, and Power BI, with a strong foundation in statistics and data modeling. Proven ability to translate complex datasets (10M+ records) into actionable insights that inform executive decision-making, risk management, and operational improvements.

Overview

2026
2026
years of professional experience

Work History

Senior Data Analyst / Program Evaluation Analyst

Canada Revenue Agency
Ottawa, ON
2018 - Current
  • Led advanced analytics on datasets exceeding 10 million records, supporting national compliance and program evaluation initiatives.
  • Designed and implemented Python, SQL, and SAS workflows to identify risk patterns, anomalies, and performance trends.
  • Developed Power BI dashboards for senior leadership, improving visibility into program effectiveness and operational KPIs.
  • Built statistical models to support evidence-based policy decisions, resource allocation, and risk prioritization.
  • Partnered with cross-functional stakeholders (policy, operations, IT) to translate business questions into analytical solutions.
  • Improved data quality and reliability by designing automated validation and reconciliation processes.

Data Analyst

Canada Revenue Agency
Ottawa, ON
2018 - 2020
  • Analyzed large administrative datasets using R, SQL, and SAS to support audit selection and compliance strategies.
  • Automated recurring reports and analysis pipelines, reducing manual effort and turnaround time.
  • Supported ad-hoc analytical requests for management, producing insights under tight deadlines.

Education

Master of Science - Statistics

Carleton University
Ottawa, ON
06.2018

Skills

  • Data Analytics: Python, SQL, R, SAS, Excel
  • Visualization & BI: Power BI, Tableau
  • Data Engineering: Azure Data Lake, ETL pipelines, data validation
  • Analytics Techniques: Statistical modeling, forecasting, segmentation, anomaly detection
  • Business Impact: KPI development, executive reporting, decision support

Work Authorization:

Authorized to work in the U.S. (No sponsorship required)

Timeline

Senior Data Analyst / Program Evaluation Analyst

Canada Revenue Agency
2018 - Current

Data Analyst

Canada Revenue Agency
2018 - 2020

Master of Science - Statistics

Carleton University
KHALID HASANOV