Jobs in Canada

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Added 25 days ago
T
Data Scientist - Credit Risk (ATH 5531)
TD
Toronto, ON
- Full-time
Reporting to the Senior Manager, Credit Strategy, you'll support the MBNA and other credit card portfolios by combining analytics, strategic thinking, and stakeholder collaboration to solve…
Added 25 days ago
ZC
Machine Learning Engineer
Zurich Canada
Toronto, ON
- Full-time
Relevant experience: Databricks, Spark/PySpark, Delta Lake, Python, SQL, batch/streaming architectures, feature management, data-quality testing, lineage, cloud storage/compute, CI/CD and…
Added 25 days ago
ZC
Machine Learning Engineer
Zurich Canada
Waterloo, ON
- Full-time
Relevant experience: Databricks, Spark/PySpark, Delta Lake, Python, SQL, batch/streaming architectures, feature management, data-quality testing, lineage, cloud storage/compute, CI/CD and…
Added 25 days ago
R
Senior Manager, Forecast Delivery, Personal and Commercial Operations- EN
RBC
Montreal, QC
- Full-time
Proficiency in SQL and/or general-purpose programming languages (e.g., Python)
Added 25 days ago
TH
Product Manager, Advanced Analytics, Tim Hortons, Canada
Tim Hortons
Toronto, ON
- Full-time
Candidates will be expected to work onsite 5 days per week out of our office in Toronto, ON
Added 25 days ago
Senior Demand Planner
HelloFresh
Toronto, ON
Proficiency in demand planning software and tools (Google Sheets, Excel, SQL, Python, Tableau) complemented with exceptional analytical and problem solving skills
Added 25 days ago
I
Database Automation Test Engineer
INFOYA
Toronto, ON
- $75,000 to $80,000 CAD / year
- Full-time
Work Arrangement: Hybrid (2 days in office)
Added 25 days ago
OM
Research Analyst
Omnicom Media
Toronto, ON
- Full-time
Experience with Advanced Analytical Tools: Experience with analytical tools such as DisplayR, SPSS, Q, R, Python, or SQL is a plus.
Added 25 days ago
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Senior Data Engineer, Analytics
nesto
Vancouver, BC
- Full-time
Design and maintain ELT pipelines from SQL Server, Azure SQL, REST APIs and SaaS platforms, with incremental loads, safe reruns and clear failure handling.
Added 25 days ago
T
Full Stack .NET Developer
Techso
Montreal, QC
- Full-time
Techso is looking for a Senior Full Stack .NET Developer to help design and develop digital solutions used by our clients across Canada.
Added 25 days ago
Senior Manager, Expense Oversight and Transparency - Finance
Scotiabank
Toronto, ON
Data Analytics experience using SQL and Python is highly desirable
Added 25 days ago
FS
Senior Platform Engineer, Performance Management
Four Seasons Hotels and Resorts
Toronto, ON · Four Seasons Corporate Headquarters Toronto
- Full-time
The Senior Platform Engineer is responsible for managing the technical delivery lifecycle of Dynamics 365 Finance & Operations (D365 F&O), including source control, branching strategies,…
Added 25 days ago
Data Engineer Sr
Insight Enterprises, Inc.
Toronto, ON
We are seeking a Senior Data Engineer to design, build, and optimize modern data platforms that enable analytics, reporting, operational intelligence, and AI-driven solutions.
Added 25 days ago
T
Full Stack Java Developer
Techso
Montreal, QC
- Full-time
Techso is looking for a Senior Full Stack Java Developer to help design and develop digital solutions used by leading clients in Montreal and internationally.
Added 25 days ago
Data Analyst, Investment Data Architecture
Connor, Clark & Lunn Financial Group Ltd.
Toronto, ON
SQL is an asset; familiarity with Python, PySpark, Lakehouse architecture, Microsoft Fabric or similar data platforms is a plus.
Added 25 days ago
Data Analyst, Investment Data Architecture
Connor, Clark & Lunn Financial Group Ltd.
Vancouver, BC
SQL is an asset; familiarity with Python, PySpark, Lakehouse architecture, Microsoft Fabric or similar data platforms is a plus.
Added 25 days ago
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Senior Software Developer
DNV
Toronto, ON
- Full-time
The Senior Software Developer is responsible for designing, developing, and maintaining data services, APIs, backend systems, and AI-ready data foundations that support scalable platform…
Added 25 days ago
C
Senior Data Scientist
Capgemini
Kamloops, BC
- Full-time
Must Have Skills
Added 25 days ago
C
Senior Data Scientist
Capgemini
Kamloops, BC
- Full-time
Must Have Skills
Added 25 days ago
TS
Analyst, Client Solutions – Global Transaction Banking
TD Securities
Toronto, ON
- Full-time
Strong SQL skills with experience working with large datasets.
Added 25 days ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
This is an excellent opportunity for a junior-to-mid-level Data Analyst with strong Power BI, SQL and Microsoft data technologies experience who enjoys turning data into meaningful…
Added 25 days ago
VB
Specialist, Data Quality Developer
Vale Base Metals
Toronto, ON
- Full-time
The Specialist, Data Quality Developer is responsible for designing, building, and maintaining enterprise data quality, data catalog, data stewardship, and master data management (MDM)…
Added 25 days ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL
Added 25 days ago
W
(CAN) Senior Manager, Data Analytics
Walmart
Mississauga, ON
- Full-time
Advanced experience with analytical and visualization tools such as SQL, Tableau, Power BI, BigQuery, Python, or similar platforms.
Added 25 days ago
HO
Operations Business Intelligence Engineer
Hydro Ottawa
Ottawa, ON
- Full-time
…framework offers a clear, transparent pathways to intermediate and senior levels. Wherever you are in your career, there’s a path for growth ahead of you…

Connor, Clark & Lunn Financial Group Ltd.

Data Analyst, Investment Data Architecture

Vancouver, BC, Canada

The expected base salary range for this position is $85,000–$120,000.

Apply on cclfg.cclgroup.com About employer

Applications open in a new tab.

Job details

Pay: The expected base salary range for this position is $85,000–$120,000.
Experience: 3–5 years of experience in investment management or financial services, ideally in investment data management, investment operations, or business analysis.
Posting language: English
Posted: Oct 20, 2026

Original job description

Interested in joining one of Canada’s top-performing asset managers? We are looking for a Data Analyst for an existing vacancy in our Investment Data Architecture (IDArch) team. Our team resides within the middle office and enables the organization to get more value from its investment data. We lead Modern Data Platform (MDP) enablement for the investment data domain, set the standards and governance that help business teams own and build trusted data products, and act as primary owners of the Investment Data Management platform, including security master, pricing master, and market reference data. We place high value on maintaining an entrepreneurial spirit and creating a culture where each of us has opportunities to succeed. This is a fantastic opportunity to be part of a dynamic strategic team whose scope and influence are growing enterprise-wide. Our offices currently operate on a hybrid model with a combination of in office and remote working days throughout the week.

What You Will Do 

Partner with investment and operations stakeholders to understand their data needs, and translate them into clear business requirements, data definitions, business rules, and acceptance criteria for the technical team.

Support business data owners in defining and preparing trusted, reusable investment datasets (data products) through intake, definition and readiness using agreed standards, and contribute to ongoing stewardship and lifecycle reviews.

Develop conceptual and logical investment data models with business owners and technical partners and explain them clearly to technical and non-technical stakeholders.

Collaborate with data engineers and business teams to define and validate business transformation rules and source-to-target mappings and confirm that delivered data meets business expectations.

Work with data owners and stewards to define data quality rules and critical data elements and analyze data-quality exceptions and reconciliation breaks.

Act as a subject-matter resource on security master, pricing, holdings and reference data across equity, fixed income, and derivatives, ensuring consistency across systems.

Document data models, mappings, data flows and business processes, and contribute business glossary terms, data definitions and lineage information to support transparency and governance.

Contribute to strategic data projects – including requirements, testing, and release validation – in collaboration with operations, engineering, and senior management.

Identify opportunities to improve investment data usability, consistency and operational efficiency.

What You Bring 

A degree in Finance, Commerce, Business Analysis, or a related field. Progress toward a designation such as the CFA or FRM is an asset.

3–5 years of experience in investment management or financial services, ideally in investment data management, investment operations, or business analysis. Hands-on knowledge of equity, fixed income, or derivative data is required; experience with security master, pricing, or an Enterprise Data Management (EDM) platform is a plus.

Proven ability to elicit requirements, run working sessions, and turn ambiguous business needs into clear, documented requirements and acceptance criteria.

SQL is an asset; familiarity with Python, PySpark, Lakehouse architecture, Microsoft Fabric or similar data platforms is a plus.

Exposure to conceptual or logical data modeling, or experience defining data entities, relationships and business rules, is an asset.

Understanding of data quality, data ownership, data governance and metadata concepts.

Excellent written and verbal communication skills, with the ability to explain data concepts to business users and business needs to technical teams.

A curious, detail-oriented self-starter who takes initiative and delivers outcomes with measurable results.

The expected base salary range for this position is $85,000–$120,000. The midpoint represents our general market target for a fully qualified and experienced individual performing the role. Actual starting salary may fall below or above the midpoint depending on the candidate's relevant experience, skills and qualifications, as well as internal equity considerations. Further questions may be directed to the HR team during the interview process.

What We Offer
At Connor, Clark & Lunn Financial Group, we’re "invested in our greatest asset, you". Our shared goals reflect what matters most to our people:

Your community: we foster belonging through collaboration, inclusion and flexibility. Enjoy social events, volunteering and a strong commitment to corporate social responsibility. Our flexible work practices are designed to support work-life balance and provide employees with flexibility in where and how they work
Your growth: we prioritize your development with meaningful work, continuous learning budgets, paid study days and support for professional designations.
Recognizing you: your contributions are rewarded with competitive total compensation, retirement savings support, wellness credits, enhanced parental leave, and comprehensive health benefits.

For a closer look at how you can build your career with us, we invite you to explore cclgroup.com. 

We are committed to providing an inclusive, accessible recruitment and selection process. We welcome and encourage applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process. Please contact talentacquisition@cclgroup.com if you require accommodation.

AI may be used to support certain stages of our screening & recruitment process. These tools support, but do not replace, human judgment and decision-making.

Apply on cclfg.cclgroup.com About employer

More about this job

Responsibilities

The Data Analyst will partner with investment and operations stakeholders to translate business needs into technical requirements and data products. They will also define data quality rules, manage investment data models, and ensure consistency across security and pricing master systems.

Requirements

Candidates should have a degree in Finance, Commerce, or Business Analysis and 3–5 years of experience in investment management or financial services. Proficiency in investment data management, data modeling, and SQL is required, with familiarity in Python or data platforms considered an asset.

Skills

Investment data management
Business analysis
Data modeling
SQL
Python
PySpark
Data governance
Data quality
Metadata management
Financial services
Investment operations
Requirement elicitation
Data lineage
Security master
Pricing master
Market reference data

Benefits

Competitive total compensation
Retirement savings support
Wellness credits
Enhanced parental leave
Comprehensive health benefits
Continuous learning budgets
Paid study days
Flexible work practices

Visa sponsorship

Not detected in the job text

Keywords

Data Analyst
Investment Data Architecture
Asset Management
Modern Data Platform
Data Governance
Data Products
Security Master
Pricing Master
Market Reference Data
Investment Operations
Business Analysis
SQL
Python
PySpark
Lakehouse Architecture
Microsoft Fabric
Data Modeling
Data Quality
Metadata
CFA
FRM
Equity
Fixed Income
Derivatives
Enterprise Data Management
Data Lineage
Business Rules
Stakeholder Management
Investment Management
Financial Services

Seniority

Mid level

Perks

Flexible hours
Parental leave
Retirement plan
Wellness program

Tools

SQL
Python
PySpark
Microsoft Fabric

Languages

English

Fields of study

Finance
Commerce
Business Analysis

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Work requirements

Jobs in Canada