Data Designer / Data Business Systems Analyst (Databricks and Finance exp)
- Toronto, ON
- On-site
- Posted Oct 10, 2026
- 1 position
$60–$65 / hour
Opens LinkedIn
- Employment type
- Contract
- Experience level
- Senior · 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
Analyze financial business needs, source systems, data elements, dependencies, and transformation requirements using Databricks-based data platforms. Translate business needs into functional and data specifications, including data mappings, flows, validation requirements, process documentation, and UAT materials.
Job details
Job Role: Data Designer / Data Business Systems Analyst (Databricks and Finance exp) Location : Downtown Toronto, Canada/Onsite Position Type : Contract Role/Fulltime Role Experience: 5–7 years Mandatory: Prior finance or financial services experience is mandatory, along with practical experience working with Databricks. 5 days Onsite in a week Ideal Candidate Rate: CAD 60-65/Hr (Depending on the experience) Note: Looking for experienced Data Designer / Business Systems Analyst (BSA) with 5–7 years of relevant experience, hands-on exposure to Databricks, and a strong background in the financial services domain. Must Have: Mandatory experience in finance or financial services. 5–7 years of experience in a Business Systems Analyst (BSA) or similar business and data analysis role. Hands-on experience with Databricks. Strong skills in business requirements gathering, analysis, and documentation. Worked with Databricks-based data platforms to understand data structures, data flows, and processing requirements. Analyze source systems, data elements, data dependencies, and data transformation requirements. Ability to translate business needs into functional and data-related specifications. Experience working with data structures, data mapping, data flows, and data validation. Strong analytical, problem-solving, communication, and stakeholder management skills. Ability to work effectively with both business and technical teams. Preferred Qualifications Experience supporting data transformation, data integration, or data platform initiatives. Familiarity with SQL and relational database concepts. Experience with data modelling, data mapping, and data quality activities. Experience preparing functional specifications, process flows, and UAT documentation.
What you’ll do
Analyze financial business needs, source systems, data elements, dependencies, and transformation requirements using Databricks-based data platforms. Translate business needs into functional and data specifications, including data mappings, flows, validation requirements, process documentation, and UAT materials.
Requirements
Candidates must have 5–7 years of experience in business systems analysis or a similar business and data analysis role, mandatory finance or financial services experience, and hands-on Databricks experience. They should be skilled in requirements documentation, data analysis and mapping, and collaboration with business and technical stakeholders; SQL and relational database knowledge are preferred.
Listed skills
- Requirements gathering · Preferred
- Business analysis · Preferred
- Data analysis · Preferred
- Data Validation · Preferred
- SQL · Preferred
- Stakeholder Management · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Databricks
- Financial Services
- Business Systems Analysis
- Requirements Gathering
- Business Analysis
- Data Analysis
- Data Structures
- Data Flows
- Data Mapping
- Data Transformation
- Data Validation
- SQL
- Data Modeling
- Data Quality
- Stakeholder Management
- UAT Documentation
Job areas
- Data & Analytics
- Technology
- Finance & Accounting
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