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Brainhunter Systems Ltd

Senior Business Systems Analyst

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 5, 2026
Posting language: English
Posted: Oct 6, 2026

Original job description

Brainhunter is currently seeking the services of a “Senior Business Systems Analyst” for a contract opportunity with one of our Valued Clients.

Any specific tools/skillset:

Minimum 5-10+ years of experience as a Business Systems Analyst, Technical Business Analyst, Solution Analyst or in a comparable role delivering complex digital products or platforms.

A post-secondary degree in a relevant discipline or equivalent practical experience.

A demonstrated ability to connect customer and business outcomes to process, data, system behaviour and technical solution requirements.

Strong experience defining end-to-end journeys, features, user stories, acceptance criteria, business rules, process models and measurable non-functional requirements.

Practical experience analyzing integrations and data flows, including APIs or events, data mapping, access controls, error handling and resiliency.

Ability to create and interpret diagrams, data models, interface specifications and decision logic, and sufficient technical fluency to inspect payloads, query data or review logs with engineering teams.

Experience working across product, design, architecture, engineering, data, quality, security, risk and operations in agile delivery environments.

Strong facilitation, structured problem-solving and communication skills, with the ability to make complex topics clear to both business and technical audiences.

A record of improving delivery outcomes by clarifying scope, resolving ambiguity, managing dependencies and connecting work to measurable value. Additional experience and familiarity

Prior experience in financial services, insurance or another complex, highly regulated environment is preferred; successful candidates should be comfortable learning Canada Life’s specific products, regulatory context and enterprise landscape.

Working familiarity with modern digital technology categories - including front-end applications, content management, personalization, workflow and decisioning, cloud, data platforms and observability

Exposure to AI-enabled or agentic solutions, including human-in-the-loop workflows, evaluation, guardrails and responsible AI controls, is an asset.

Hands-on familiarity with a relevant delivery and analysis toolset - such as Jira, Confluence, Azure DevOps, Postman, OpenAPI or SwaggerHub, SQL, diagramming tools or ServiceNow - is preferred

Experience contributing to reusable digital capabilities, platform consolidation, legacy modernization or enterprise-scale transformation is an asset

Role profile description:

Client is building an Enterprise Digital Strategy team to create simpler, more connected and intelligent experiences for our customers and the people who support them. We are looking for a Business Systems Analyst who can turn customer and business needs into practical solutions that teams can build, operate and improve. You will work across product, design, architecture, engineering, data, AI, security and operations.Your role is to connect the end-to-end customer experience to the processes, data, systems and controls behind it - helping teams deliver measurable value rather than isolated features. You will thrive in this role if you are equally comfortable facilitating a business conversation, mapping a complex journey and working with technical teams to make a solution clear, testable and delivery ready.

What you will do

Build a shared understanding of customer needs, business outcomes and measures of success through discovery, journey mapping and collaborative workshops.

Translate strategic priorities and experience designs into a focused backlog of capabilities, features, user stories, acceptance criteria and non-functional requirements.

Create clear traceability from the intended outcome through requirements, solution decisions, testing, release and post-launch results.

Connect each digital journey to the processes, business rules, data, integrations, reusable services and systems required to deliver it.

Partner with architects and engineers to define solution boundaries, reuse opportunities, integration approaches and build-versus-buy considerations.

Create practical artifacts - such as process and sequence diagrams, data mappings, decision tables, interface requirements and error scenarios - that enable teams to design, build and test with confidence.

Define clear requirements for APIs, events, identity and access, privacy, consent, accessibility, performance, reliability, security and observability.

Surface assumptions, dependencies, risks and unresolved decisions early, and help the right stakeholders reach timely, well-informed decisions.

Keep work outcome-led, testable and ready for delivery while managing dependencies across journey teams, shared platforms, data and core systems.

Collaborate with product, design, engineering, architecture, data, quality engineering, security, risk, operations and external partners from discovery through launch.

Support test planning, business acceptance, release readiness and operational transition so that solutions work as intended and can be supported effectively.

Define the data and instrumentation needed to measure adoption, journey completion, service demand, customer outcomes and platform health.

Use production evidence and feedback to recommend improvements, resolve root causes and inform the next iteration.

For AI-enabled experiences, help define human oversight, evaluation, explainability, monitoring, auditability and appropriate safeguards.

Maintain clear evidence of requirements, decisions, controls and accepted trade offs.

Challenge unnecessary duplication and point solutions, helping teams create reusable capabilities that make future journeys faster to deliver.

How you work

You put the customer outcome first while balancing enterprise value, feasibility, risk and operational needs.

You are comfortable creating structure in ambiguous situations and can move a group from competing perspectives to a clear decision.

You collaborate openly, invite diverse expertise and challenge assumptions constructively.

You are curious about emerging technology without losing sight of adoption, controls, maintainability and measurable value.

You communicate with precision and can adjust the level of detail for executives, business partners and technical

We thank all applicants for their interest, however only those candidates selected for Interviews will be contacted.

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More about this job

Responsibilities

Translate customer and business needs into outcome-focused requirements, delivery-ready backlogs, and practical artifacts that connect digital journeys to processes, data, integrations, systems, and controls. Collaborate across business and technical teams from discovery through launch, supporting testing and operational readiness while using production evidence to improve outcomes and reusable capabilities.

Requirements

Requires 5–10+ years of experience in business systems analysis or a comparable role, plus a relevant post-secondary degree or equivalent practical experience. Candidates should be skilled in requirements and process modeling, integrations and data flows, agile cross-functional delivery, and clear communication; experience in regulated industries and familiarity with relevant tools and AI-enabled solutions are preferred or considered assets.

Skills

Business Systems Analysis
Requirements Analysis
Journey Mapping
User Stories
Acceptance Criteria
Process Modeling
API Integration
Data Mapping
Agile Delivery
Stakeholder Facilitation
SQL
Postman
Jira
Confluence
Risk Management
AI Governance

Visa sponsorship

Not detected in the job text

Keywords

Business Systems Analyst
Technical Business Analysis
Solution Analysis
Digital Products
Customer Journeys
Requirements Engineering
User Stories
Acceptance Criteria
Non-Functional Requirements
Process Models
APIs
Events
Data Mapping
Access Controls
Integration Design
Agile Delivery
Jira
Confluence
Azure DevOps
Postman
OpenAPI
SwaggerHub
SQL
ServiceNow
Cloud
Data Platforms
Observability
Artificial Intelligence
Human-in-the-Loop Workflows
Legacy Modernization

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