Typical Day in Role: - Analyze, document, and translate data requirements into detailed specifications, including source to target mappings, transformation rules, and data quality checks. - Perform detailed data analysis to troubleshoot issues and support data pipeline processes. - Support data migration activities, including documentation of cleansing rules and validation of end to end test results. - Build and maintain Power BI dashboards and data models to support business reporting needs. - Gather, analyze, and document business requirements; translate them into functional and technical specifications. - Develop BRDs, user stories, process flows, and functional specifications for data and technology initiatives. - Conduct gap analysis, identify risks, and propose solutions for complex data and business problems. - Lead or support User Acceptance Testing (UAT), including test case design, execution, and defect resolution. - Act as a liaison between business stakeholders, IT, and data engineering to ensure alignment and clarity. - Provide functional support for Salesforce Financial Services Cloud (FSC), including data structures, objects, and workflows. - Build and optimize Salesforce reports and dashboards.



Investigate and resolve Salesforce data and process issues with business and technical teams. Pay Range - $61.00-$75.00 Candidate Requirements/Must Have Skills: 1. 10+ years of experience in data analysis, data modeling or business analysis (Strong documentation skills for both business and technical requirements) 2. 5+ years of experience with SQL 3. Hands-on experience with Power BI (data modeling, DAX, dashboards, reporting) 4. 3+ years of experience with Salesforce FSC, especially reporting and data model understanding. 5. Knowledge of data warehousing, ETL, data pipelines, and metadata management 6. Bilingual in Spanish Nice-To-Have Skills: 1. Experience in Wealth Management, Capital Markets, or Financial Services 2. Coding experience Soft Skills Required: -communication skills -attention to detail -robust collaboration skills with cross-functional/regional stakeholders -problem solving skills Education: Bachelor’s degree in Computer Science, Information Systems, Business, Engineering, or equivalent. Candidate Review & Selection 2 rounds 1st round – HM + Senior Manager – 45 mins – in-person 2nd round – HM + Director – 30 mins – in-person or virtual (TBD)

📌 Data Analyst - $61 - $75 An Hour (Toronto)
🏢 Tekstaff IT Solutions
📍 Toronto