Senior Data Analyst

Job summary

The role involves facilitating requirements reviews, translating them into data solutions, and coordinating the implementation, testing, and delivery of data initiatives. You will also analyze complex data issues, perform root-cause analysis, and collaborate with business and technology stakeholders to ensure data quality.

Job details

Job Title: Senior Data Analyst Work Location: Toronto, Ontario Duration: 12+ Months contract with high possibility for extension/fulltime Shift: M-F, 9-5 core business hours – 37.5 hours per week, 7.5 hours per day Work Arrangement: Hybrid – 4 days in office, 1 days remote. Description: Data Project Delivery professional with a strong background in banking/financial services, particularly within Treasury, Investments, or related financial product domains. This is a great opportunity for someone who combines strong technical data skills with experience delivering complex data initiatives and working closely with business and technology teams. Key Responsibilities Facilitate requirements review and ensure requirements are translated into effective data solutions. Coordinate implementation, testing, validation, and delivery of data initiatives. Analyze complex data issues and support reconciliation, investigation, and root-cause analysis. Work with technology and business stakeholders to resolve data quality and implementation issues. Support data sourcing, onboarding, integration, lineage analysis, and source-to-target mapping. Drive testing activities including test planning, test-case development, requirements traceability, defect management, regression testing, and test evidence. Lead cross-functional teams and help drive projects through successful delivery. Must-Have Skills & Experience 5+ years of advanced SQL and Python experience for data analysis, profiling, reconciliation, validation, and investigation 5+ years of experience with Banking / Financial Services data, ideally with exposure to Treasury, Investments, Wholesale and/or Retail banking. Strong understanding of Treasury data products, financial product data modelling, and enterprise data environments. 5+ years of experience delivering large scale and complex data initiatives, translating business requirements into practical data solutions. Strong experience with project testing and data validation disciplines. Experience with modern cloud-based data platforms and end-to-end data flows. Nice to Have Treasury experience with additional exposure to Liquidity, Capital, or related financial product domains. Experience working with Databricks or similar modern data platforms. Strong understanding of data lineage, transformation rules, reconciliation, and data quality controls. Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit https://dexian.com/ to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

What you’ll do

The role involves facilitating requirements reviews, translating them into data solutions, and coordinating the implementation, testing, and delivery of data initiatives. You will also analyze complex data issues, perform root-cause analysis, and collaborate with business and technology stakeholders to ensure data quality.

Requirements

Candidates must have 5+ years of advanced SQL and Python experience along with a strong background in banking or financial services data. Proficiency in Treasury or investment domains and experience delivering large-scale, complex data initiatives are essential.

Listed skills

• SQL · Preferred
• Data Validation · Preferred
• Data analysis · Preferred
• Treasury · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• SQL
• Python
• Data Analysis
• Data Profiling
• Reconciliation
• Data Validation
• Banking
• Financial Services
• Treasury
• Investments
• Data Modeling
• Data Lineage
• Source-to-target Mapping
• Cloud-based Data Platforms
• Project Delivery
• Defect Management

Job areas

• Data & Analytics
• Finance & Accounting
• Technology
• Consulting