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.
Responsibilities
Develop, maintain, and improve data pipelines, data flows, datasets, semantic models, and analytical assets for customer analytics and Marketing
Migrate and redirect production reporting data flows and assets from Denodo and spreadsheet-based processes to the Enterprise Data Platform and Microsoft Fabric
Analyze data artifacts, business rules, calculations, and dependencies to rebuild or adapt them when systems, fields, or logic change
Develop and optimize curated datasets and semantic models for Power BI, analytical applications, and advanced analytics
Create, maintain, and improve Power BI dashboards and reports
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 address operational and analytical challenges
Contribute to the deployment and operationalization of analytical applications and models in accordance with development and MLOps practices
Troubleshoot data, refresh, integration, and reporting issues; perform root cause analyses and implement corrective actions
Conduct exploratory analyses and data mining on customer-related behaviors, engagement patterns, preferences, segments, and opportunities
Support the preparation of customer and prospect data for campaign planning, targeting, personalization, measurement, and reporting
Apply quality controls, validation rules, documentation standards, and governance requirements to customer and marketing data
Support data acquisition, vendor data processing, quality monitoring, and reporting
Document sources, transformations, business rules, calculations, dependencies, controls, and operating procedures
Collaborate with Marketing, analytics, data platform, governance, technology, and other stakeholders
Communicate analytical findings, technical issues, recommendations, and progress to technical and non-technical audiences
Share knowledge, contribute to team standards, and strengthen succession coverage for critical analytical processes and assets
Identify opportunities to improve automation, reliability, scalability, and efficiency across the data environment
Requirements
Bachelor’s 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 in data development, transformation, integration, or analysis in an operational or production environment
Hands-on experience writing SQL queries
Hands-on programming experience in Python, R, or a comparable language
Experience designing reports, dashboards, datasets, or data models using Power BI or a comparable business intelligence platform
Experience with data pipelines, ETL processes, data flows, data warehouses, data lakes, or lakehouse environments
Demonstrated ability to understand and adapt existing data assets and business logic
Experience analyzing and resolving issues related to data quality, integration, refreshes, or reporting
Strong analytical and problem-solving skills, with a focus on accuracy, controls, and attention to detail
Ability to translate business requirements into technical tasks and data solutions
Ability to explain technical concepts and analytical findings in clear business language
Ability to manage priorities, work independently, and contribute within cross-functional teams
Collaborative, accountable, and customer-focused approach
Willingness to learn unfamiliar systems and continually develop technical and business knowledge
Candidates must meet government security requirements
Preference will be given to candidates legally authorized to work in Canada at the time of application (Canadian citizens or permanent residents)
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