Job Title: Business Analyst – Python & Tableau Developer Location: Toronto, ON (Hybrid – 3 days onsite) Industry: Banking / Financial Services Type: Contract Job Summary: We are looking for a Business Analyst (BA) with a strong background in Python development (front and back end) , Tableau reporting , and database design and querying . The successful candidate will act as a hybrid resource, combining business analysis with hands-on development skills to support data-driven decision-making, reporting, and system enhancements. Key Responsibilities: Gather, document, and analyze business requirements for reporting and data processing solutions. Design and develop dashboards and reports using Tableau to support business stakeholders. Develop and maintain Python-based applications , scripts, and tools (both front-end and back-end components). Perform data analysis and develop queries for data extraction, transformation, and reporting. Collaborate with business users, data engineers, and developers to ensure solution accuracy and completeness. Document functional and technical specifications. Support user acceptance testing (UAT), issue resolution, and production rollouts. Must-Have Qualifications: 7 years of experience as a Business Analyst with development exposure. Strong development skills in Python – both front-end (e.g., Dash, Streamlit, Flask) and back-end scripting . Hands-on experience with Tableau for report/dashboard creation and data visualization. Solid understanding of databases (e.g., SQL Server, PostgreSQL, Oracle) and ability to write complex SQL queries. Strong analytical thinking, documentation, and communication skills. Experience working in Agile/Scrum environments. Nice-to-Have: Prior experience in the banking or financial services industry. Experience with cloud platforms (e.g., AWS, Azure) for data processing or hosting. Knowledge of data governance, data quality, or regulatory compliance (e.g., Basel, KYC). Familiarity with version control tools (e.g., Git) and CI/CD processes. Work Environment: Hybrid model : 3 days onsite at the Toronto office, 2 days remote. Collaborative team setting with business, data, and IT stakeholders. Opportunity to contribute to data modernization and analytics initiatives in a large banking environment.