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About the Role

As a member of the DTI team, the Senior Data Analyst acts as a liaison between business and technical communities to develop data solutions that support business needs. You will elicit, analyze, communicate, validate and translate data requirements into clear communications, Agile work items—including epics, features, stories and tasks—and other documentation. You will apply advanced data modelling and analysis techniques to build and maintain transformation rules and source-to-target mappings. Working closely with clients, you will examine business rules and data transformation requirements, document new data needs, and contribute to the design of new data integration streams or updates to existing data pipelines. As an active member of an Agile team, you will participate throughout the product lifecycle and collaborate with squad members, technology stakeholders and internal customers. Success in this role requires strong digital and IT knowledge, the ability to learn new solutions quickly, adaptability, excellent communication and analytical skills, and strong relationship-management capabilities.

Responsibilities

Understand client requirements and translate them into technical terms and user stories.
Collaborate with Agile teams, Business Analysts, Data Architects and Data Engineers to develop solution approaches.
Review and recommend conceptual, logical and physical data models for alignment with architectural principles and optimal solution design.
Research and document data platforms and outputs, including source-to-target mappings, data transformation rules, data cataloguing and data lineage.
Analyze system data elements and existing structures, trace data lineage from source to target, and support efficient data flow among users and stakeholders.
Apply end-to-end data process knowledge to analyze, cleanse and enrich data, ensuring accuracy and consistency.
Collect, organize, analyze and share complex information with precision, and explain technical solutions to non-technical audiences.
Lead data-requirements sessions and present complex issues using persuasion, influence, negotiation and conflict-resolution skills to build consensus.
Produce clear, usable documentation that supports sign-off and can be used by technical project members.
Participate in sprint reviews, retrospectives, backlog refinement and other sprint-based activities.

Requirements

An undergraduate degree in Management Information Systems, Computer Science, Engineering, Commerce, Business or a related field.
At least seven years of dedicated Data Analyst experience.
Experience with Microsoft Fabric
Broad experience across the data lifecycle, with hands-on expertise in dimensional and relational data modelling, data quality, SQL programming, ETL development, metadata management and master data management.
Experience reverse-engineering source-to-target mappings to generate data insights.
Ability to produce ETL specifications based on physical data models.
Strong analytical skills and the ability to collect, organize, analyze and disseminate significant amounts of information with accuracy and attention to detail.
Excellent oral and written communication skills, including the ability to communicate effectively with business and technical audiences and listen actively.
Experience with Azure Data Platform technologies and Databricks.
Experience with data modelling technologies such as Erwin.
Knowledge of Spark SQL.
Programming experience with SQL, R or Python.
Strong communication, critical-thinking, time-management, priority-planning and interpersonal skills.
Strong relationship-management skills, including facilitating group sessions and demonstrating leadership within a project team.
Strong problem-solving skills.
Experience working in an Agile environment and adapting to changing business priorities.
Bilingualism in both official languages—French and English.
Able to work legally in Canada at the time of application (Canadian Citizens or Permanent Residents).
Meet the requisite government security screening requirements.

Skills

Data modelling
Data quality
SQL programming
ETL development
Metadata management
Master data management
Microsoft Fabric
Azure Data Platform
Databricks
Erwin
Spark SQL
R
Python
Agile methodologies
Communication
Critical-thinking
Time-management
Priority-planning
Interpersonal skills
Relationship-management
Problem-solving

Location

Ottawa
Toronto
Mississauga
Montreal
Brossard
Laval

Work Type

Hybrid
Contract
Temporary assignment

Experience Level

Senior Data Analyst
At least seven years of dedicated Data Analyst experience

Education Level

Undergraduate degree in Management Information Systems, Computer Science, Engineering, Commerce, Business or a related field.

Salary/Compensations

$94,664 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.

Benefits

Comprehensive Benefits package
Work-life balance
3 to 4 weeks paid vacation
Corporate closure period
Summer early Friday’s
No meeting Fridays
Continuous learning opportunities, including training programs, workshops and language training.
Inclusive Culture
Wellness Programs
Mental health support
Fitness programs
Community Engagement
Volunteer opportunities

About the Company

At EDC, we support Canadian businesses to succeed globally.
We provide the financial tools and expertise they need to explore new markets, reduce risks, all towards the goal of making Canada and the world better through trade.
Export Development Canada (EDC) is a financial Crown corporation.
We offer innovative financial solutions and expert insights to help businesses explore new markets, mitigate risks, and achieve growth.

Equal Opportunity

EDC is committed to Fair Employment Practices.
EDC is dedicated to fostering employment equity and building a diverse workforce.
We are committed to creating a safe and inclusive environment that respects people from all cultures, backgrounds, and abilities.
At EDC, we nurture a culture of inclusion and belonging where everyone has equal opportunity to grow, develop, succeed, and be their truest selves.
We actively encourage applications from women, Indigenous peoples, visible minorities, persons with disabilities, and members of the 2SLGBTQI+ community.