Data Analyst For Canada Opportunities

Company Description Esse India is a Canada immigration consulting firm based in Delhi, offering visa advisory services at a competitive price point. The organization focuses on guiding clients through Canadian immigration rules and regulations with an experienced and knowledgeable team. Esse India aims to deliver trustworthy, value-driven visa consulting services that meet client expectations. The firm prides itself on high client satisfaction, ensuring individuals feel supported and informed throughout the visa application process.

Role Description The Data Analyst for Canada Opportunities role is a full-time, on-site position based in Canada. The role involves collecting, cleaning, and analyzing data related to immigration trends, client profiles, and visa outcomes to support decision-making and service optimization. The Data Analyst will build dashboards and reports, perform statistical analysis, and create data models to identify patterns and forecast demand for Canada immigration services. This position will collaborate with consultants and management to translate data insights into actionable recommendations for client engagement and process improvement. The role also includes documenting findings, maintaining data integrity, and presenting clear summaries and visualizations to stakeholders.

Qualifications

• Strong Analytical Skills and proficiency in Data Analytics for interpreting complex datasets and generating insights.
• Solid foundation in Statistics to perform quantitative analysis, forecasting, and trend identification.
• Experience with Data Modeling to design and maintain structured data systems supporting business decisions.
• Effective Communication skills to present findings clearly to non-technical stakeholders and collaborate with cross-functional teams.
• Proficiency in tools such as Excel, SQL, and at least one data visualization platform (e.g., Power BI, Tableau).
• Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
• Experience in consulting, immigration services, or professional services analytics is an advantage.