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Lorven Technologies Inc.

Databricks Business Systems Analyst (financial services)

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 27, 2026
Experience: 7 years of experience in a Business Systems Analyst (BSA) or similar business and data analysis role.
Posting language: English
Posted: Oct 28, 2026

Original job description

We are seeking an experienced Data Designer / Business Systems Analyst (BSA) with 7+ years of relevant experience, hands-on exposure to Databricks, and a strong background in the financial services domain.

A business-focused Data Designer/BSA who understands financial services processes, has practical Databricks experience, and can bridge the gap between business requirements and technical data implementation.

Prior finance or financial services experience is mandatory, along with practical experience working with Databricks.

Key Responsibilities

Engage with business stakeholders to gather, analyze, and document business and data requirements.
Translate business requirements into functional specifications, data requirements, and design documentation.
Work 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.
Support the design and documentation of data models, mappings, and data integration workflows, as required.
Collaborate with data engineers, architects, developers, and QA teams to ensure requirements are clearly understood and implemented.
Perform data analysis and support data validation, reconciliation, and issue resolution.
Identify gaps, dependencies, and inconsistencies in data requirements and work with stakeholders to resolve them.
Support functional testing, user acceptance testing (UAT), and business sign-off.
Maintain clear documentation of requirements, data definitions, business rules, and design decisions.

Required Qualifications and Skills

7 years of experience in a Business Systems Analyst (BSA) or similar business and data analysis role.
Hands-on experience with Databricks.
Mandatory experience in finance or financial services.
Strong skills in business requirements gathering, analysis, and documentation.
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.

Apply About employer

More about this job

Responsibilities

Gather and document business and data requirements, translating them into functional specifications, data models, mappings, and design documentation. Collaborate with business and technical teams on Databricks data workflows, validation, issue resolution, testing, and business sign-off.

Requirements

Requires at least 7 years of experience in a business systems or data analysis role, hands-on Databricks experience, and mandatory finance or financial services experience. Candidates should be skilled in requirements analysis, data structures and flows, data mapping and validation, and communication with business and technical stakeholders.

Skills

Business Requirements Gathering
Requirements Analysis
Requirements Documentation
Databricks
Financial Services
Data Analysis
Data Mapping
Data Flows
Data Validation
Data Modeling
Data Integration
SQL
Stakeholder Management
Functional Specifications
User Acceptance Testing
Data Quality

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Financial Services
Business Systems Analysis
Data Design
Business Requirements
Data Requirements
Functional Specifications
Data Structures
Data Flows
Source Systems
Data Dependencies
Data Transformation
Data Models
Data Mapping
Data Integration
Data Validation
Data Reconciliation
Data Quality
SQL
Relational Databases
Functional Testing
User Acceptance Testing
Business Rules
Stakeholder Management
Data Platforms

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