Data Designer / Data Business Systems Analyst (Databricks and Finance exp)

Bevertec; Toronto; On-site; CAD 83,000 - 90,000; Full time

Job summary

Bevertec in Downtown Toronto is seeking a Data Designer / Data Business Systems Analyst with 5-7 years of experience and hands-on Databricks. This role requires finance or financial services background and will involve translating business needs into functional and data specifications, working closely with both business and technical teams.

This onsite position requires being on-site five days a week, with a compensation rate of CAD 60-65 per hour, depending on experience.

Qualifications

• Finance or financial services experience required.
• 5–7 years as BSA or similar business/data analysis role.
• Hands-on with Databricks.
• Experience with data structures, mappings, data flows, and validation.
• Strong requirements gathering, analysis, and documentation.
• Ability to translate business needs into functional specs.
• Excellent stakeholder management and communication.
• Ability to work with both business and technical teams.

Skills

Databricks experience

Finance domain knowledge

Requirements gathering

Data analysis

Stakeholder management

Communication

Business-technical translation

Tools

Databricks

SQL

Job description

Job Role: Data Designer / Data Business Systems Analyst (Databricks and Finance exp)

Location : Downtown Toronto, Canada/Onsite

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.