Analyste des données clients chez EDC, société d’État aidant les entreprises canadiennes à réussir à l’étranger. Modernisation des pipelines, tableaux de bord et solutions analytiques marketing.
EC
Customer Data Analyst
Posted 36 minutes ago
About the role
- Customer Data Analyst modernizing EDC’s customer data ecosystem at Canada’s export-finance Crown corporation. Building Microsoft Fabric pipelines, Power BI assets, and marketing analytics solutions.
Responsibilities
- Develop, maintain and enhance data pipelines, data flows, datasets, semantic models and analytical assets supporting customer analytics and Marketing
- Migrate and repoint data flows and reporting assets from legacy sources, including Denodo and spreadsheet-based processes, to the Enterprise Data Platform and Microsoft Fabric
- Analyze data artefacts, business rules, calculations and dependencies to rebuild or adapt them when sources, fields or logic change
- Develop and optimize curated datasets and semantic models for Power BI dashboards, analytical applications and advanced analytics
- Build, maintain and improve Power BI dashboards and reports for timely, reliable and actionable customer insights
- Use SQL, Python, R or comparable languages to acquire, transform, integrate, analyze and validate structured data
- Develop scripts, notebooks, utilities or lightweight applications to automate processes and solve operational and analytical challenges
- Contribute to deployment and operationalization of analytical applications and models using development and MLOps practices
- Troubleshoot data, refresh, integration and reporting issues; conduct root-cause analysis and implement corrective actions
- Perform exploratory data analysis and data mining to identify customer behaviours, engagement patterns, preferences, segments and opportunities
- Prepare customer and prospect data for campaign planning, targeting, personalization, measurement and reporting
- Apply data-quality checks, validation rules, documentation standards and governance requirements
- Support data acquisition, vendor-data processing, data-quality monitoring and production reporting
- Document data sources, transformations, business rules, calculations, dependencies, controls and operating procedures
- Collaborate with Marketing, analytics, data platform, governance, technology and other stakeholder teams
- Communicate findings, technical issues, recommendations and delivery progress to technical and non-technical audiences
- Share knowledge, contribute to team standards and strengthen backup coverage for critical processes and assets
- Identify opportunities to improve automation, reliability, scalability and efficiency across the customer data and analytics environment
Requirements
- Undergraduate degree in computer science, data science, mathematics, statistics, engineering, business analytics, management information systems, marketing analytics or a related field, or an equivalent combination of education and relevant experience
- Relevant experience developing, transforming, integrating or analyzing data in a business or production environment
- Practical experience writing SQL queries for data extraction, transformation, validation and analysis
- Practical programming experience with Python, R or a comparable language
- Experience developing reports, dashboards, datasets or data models using Power BI or a comparable business intelligence platform
- Experience with data pipelines, extract-transform-load processes, data flows, data warehouses, data lakes or lakehouse environments
- Ability to understand existing data assets and business logic and adapt them to new sources, platforms or requirements
- Experience investigating and resolving data-quality, integration, refresh or reporting issues
- Strong analytical and problem-solving skills, with close attention to accuracy, controls and detail
- Ability to translate business requirements into clear technical tasks and fit-for-purpose data solutions
- Ability to explain technical concepts and analytical findings in clear business language
- Ability to manage priorities, work independently and contribute effectively within cross-functional teams
- Collaborative, accountable and customer-focused approach
- Willingness to learn unfamiliar systems and understand a complex data ecosystem
- Ability to work legally in Canada at the time of application; Canadian Citizens or Permanent Residents preferred
- Must meet requisite government security screening requirements
Benefits
- Performance-based incentive
- Comprehensive compensation and benefits package
- Work-life balance
- Hybrid work options
- 3 to 4 weeks paid vacation
- Corporate closure period
- Summer early Fridays
- No meeting Fridays
- Continuous learning opportunities
- Training programs
- Workshops
- Language training
- Inclusive workplace and employment equity
- Wellness initiatives
- Mental health support
- Fitness programs
- Volunteer opportunities
- Social responsibility programs
- Relocation assistance for eligible candidates
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