Apply on Employer Site

CIBC US · 4 days ago

Jr. Analytics Engineer

Chicago, IL

Full-time

Onsite

New Grad, Entry Level

$72K/yr - $72K/yr

CIBC US is building a relationship-oriented bank for the modern world and seeks a Jr. Analytics Engineer. The role involves data modeling and transformation, ensuring data quality and governance, and collaborating with stakeholders to create reusable models and metrics.

BankingFinancial Services

No H1B

Responsibilities

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

Qualification

Data ModelingData QualityPipeline OrchestrationBusiness LogicData EngineeringApplication ConfigurationInfrastructure ManagementProject CoordinationSemanticsTechnical SupportUse Cases

Required

You have a degree/diploma in Business and/or a related field of study

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

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

Maintain, schedule, and optimize workflows for performance and cost

Streamline deployments and validations

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

Identify opportunities to simplify the stack, reduce technical debt, and improve developer experience

Contribute to standards for coding, documentation, and peer review

Trusted, documented, and testable data models power critical dashboards and analyses

A governed metrics layer reduces duplicative logic and conflicting KPIs

Robust pipeline monitoring and CI/CD reduce incidents and accelerate releases

Clear runbooks, documentation, and developer standards improve team velocity

Positive feedback from stakeholders on data reliability, transparency, and usability

You know that details matter. You notice things that others don't. Your critical thinking skills help to inform your decision making

You're motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life

You're digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends

You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way