The Cppa For Employment
Financial Services
Jr.AnalyticsEngineer
Neural analysis suggests this role is
optimal for Entry candidates.
“Jr. Analytics Engineer at The Cppa For Employment. Skills: Data modeling, Data transformation, Data quality, Data governance. Maintain dimensional models. Maintain semantic models”
What You'll Achieve.
Trusted data models; Governed metrics layer; Robust pipeline monitoring; Clear runbooks; Documentation standards; Developer standards; Positive feedback from stakeholders
Industry & Context.
Critical thinking; Investigating complex problems; Making sense of information
No visa sponsorship
What They're Looking For.
Must Have
Degree in Business, SQL proficiency, 5+ years experience
Nice to Have
PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified
What You'll Do.
Maintain dimensional models
Maintain semantic models
Establish metrics layer
Implement data contracts
Streamline deployments
Collaborate with analysts
Collaborate with stakeholders
Translate business logic
Build scalable datasets
Build audited datasets
Provide guidance on definitions
Provide guidance on documentation
Provide guidance on best practices
Identify simplification opportunities
Reduce technical debt
Improve developer experience
Contribute to standards
How You'll Work.
Team & Collaboration
Partner with data engineering; Collaborate with analysts; Collaborate with stakeholders
Communication Scope
Translate business logic; Provide guidance; Data definitions; Documentation; Analytics best practices
Process & Methodology
Change management
Full Job Description
We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients. At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute. To learn more about CIBC, please visit [CIBC.com](https://www.cibc.com/en/about-cibc.html) **What You 'll Be Doing** * Data modeling and transformation * Maintain dimensional and semantic models that support self-serve analytics and BI. * Establish and govern a consistent metrics layer to ensure a single source of truth. * Data quality, observability, and governance * Implement testing, data contracts, and monitoring to proactively detect and resolve data issues. * Partner with data engineering to enforce SLAs, lineage, and change management. * Uphold data privacy and security best practices appropriate for regulated environments. * Pipeline orchestration and reliability * Maintain, schedule, and optimize workflows for performance and cost. * Streamline deployments and validations * Business partnership and enablement * Collaborate with analysts and stakeholders to translate business logic into reusable models and metrics. * Build scalable, audited datasets for dashboards, self-serve, and analytical use cases. * Provide guidance on data definitions, documentation, and analytics best practices. * Continuous improvement * Identify opportunities to simplify the stack, reduce technical debt, and improve developer experience. * Contribute to standards for coding, documentation, and peer review. * Please include links or examples that showcase your data models, dbt projects, testing approach, and documentation. * If applicable, indicate experience with financial services datasets or regulated data environments. **How you 'll succeed** * Trusted, documented, and testable data models power critical da
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