Senior Business Data Analyst; ERP
Final date to receive applications
January 23rd, 2026
PositionSenior Business Data Analyst (ERP)
Employment TypeContract (9 Months)
CompensationData Analyst 18:
Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experience, plus a performance-based incentive.
Export Development Canada operates in a hybrid work environment, requiring employees to work in the office 2 days per week (subject to change). This role can be performed from EDC’s headquarters in Ottawa.
About EDCExport Development Canada (EDC) empowers Canadian businesses to succeed globally. As a Crown corporation, EDC offers innovative financial solutions and expert insights to help businesses explore new markets, mitigate risks, and achieve growth.
Why Join EDC- Comprehensive Benefits – Competitive compensation & benefits package, work‑life balance, and the opportunity to help make Canada and the world better through trade.
- Work‑Life Balance – Hybrid work options, 3 to 4 weeks paid vacation, a corporate closure period, summer early Friday’s & no meeting Fridays.
- Professional Development – Continuous learning opportunities, including training programs, workshops and language training.
- Inclusive Culture – Diverse and inclusive workplace that champions employment equity & values diversity of ideas, strengths, & backgrounds.
- Wellness Programs – Access to wellness initiatives, mental health support, and fitness programs.
- Community Engagement – Volunteer opportunities and give back to the community through social responsibility programs.
The Digital & Technology Solutions (DTS) group, established in 2023, empowers customers and colleagues to take on the world by delivering secure and reliable digital experiences. Key objectives include defining the integrated technology target state, managing the 3‑Year Digital Roadmap, keeping pace with industry trends, and leading integrated digital, data, infrastructure, and cybersecurity implementations.
Corporate Functions Transformation – ERP ProgramThe Corporate Functions Transformation (CFT) program modernizes core business processes across HR, Finance, Procurement, and IT through a new Enterprise Resource Planning (ERP) platform.
Senior Data Analyst RoleAn active participant in an Agile team, the Senior Data Analyst liaises between business and technical communities to develop data solutions that support business needs. The role requires strong digital competencies, excellent analytical skills, and collaborative relationship management.
What you will be doing- Understanding client requirements and translating them into technical terms and user stories.
- Collaborating with Agile teams, Business Analysts, Data Architects, and Data Engineers to develop solution approaches.
- Reviewing and recommending conceptual, logical, and physical data models.
- Documenting data platforms, source‑to‑target mappings, business rules for data transformation, data cataloging, and data lineage.
- Analyzing system data elements and existing data structures.
- Clearing, enriching, and ensuring accurate and consistent data flows.
- Collecting, organizing, analyzing, and disseminating information with attention to detail and accuracy.
- Presenting complex issues to stakeholders using persuasion, influence, negotiation, and conflict resolution skills.
- Delivering clear and usable documentation that supports the sign‑off process.
- Participating in sprint‑based activities such as Sprint Reviews, Retrospectives, and backlog refinements.
- Undergraduate Degree in Management Information Systems, Computer Science, Engineering, Commerce, Business, or related field.
- Minimum of 7+ years as a dedicated Data Analyst.
- Well‑rounded experience in the full data lifecycle management and hands‑on experience in dimensional and relational data modeling, data quality, SQL programming, ETL development, metadata management, and master data management.
- Experience with reverse engineering source‑to‑target mapping to gain data insights.
- Ability to produce ETL specification based on the physical data model.
- Strong analytical skills with attention to detail and accuracy.
- Excellent oral and written communication…
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