Consultant, Analytics Data Engineer

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

What you'll be doing

The Marketing Data Strategy & Governance team is a strategic Data Product delivery team within CIBC Personal and Business Banking, applying rigor in Data Engineering & Analytics with strong sense of business partnership, to drive impact for our clients and business outcomes. Reporting to the Director, Marketing Data Strategy, the Consultant, Analytics Data Engineer will lead the design, execution and maintenance of Client-Centric Data Products that support CIBC’s Marketing and Data modernization programs. As a motivated self-starter, your curiosity in data, deep understanding of the business priorities, pared with expertise in cloud-native data engineering principles, you will be an integral part in delivering innovative data solutions and data assets that bring business value. You will practice effective development with Agile methodology, DevOps, CI/CD and governance built-in to the delivery on Databricks Analytics Platform. You are able to collaborate closely with data product owners, Data Scientists, PBB Analytics, and various technology and program partners.

At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

How you'll succeed

• Analytics savvy - Contribute to the ongoing development and enhancement of analytics, business case and visual analytic tools that leverage industry best practices. Recommend improvements to overall analytical approach for the team through interaction with internal stakeholders and through industry research.

• You bring a unique data career – Experienced in the field of Client Analytics, Data Engineering, Statistical analysis, data modeling, ETL and Data Flow design, or Data Sciences, combining expertise from multiple domains to understand how best to solve business problems with data.

• You are an entrepreneur – You carve out your own path by practicing independent and critical thinking, conducting business and technical problem assessment to guide the solution design. You pay attention to what matters and delivers best in-class working solution with sense of accountability.

• You are a team player – You know that collaboration means more than a race, you are able to work in a team setting and understand the impact of your actions to others. You practice open and mindful communication, respecting diverse opinions and perspectives.

Who you are

• You practice industry best-practice in Data Engineering & Analytics. At least  2-3 years’ experience in developing enterprise-grade Data Products and data pipelines, leveraging distributed Analytics Platforms such as Databricks, PySpark, Spark Dataframe API, Scala, Azure Data Factory, practicing CI/CD and DevOps in Agile setting. Experience in Databricks AI/BI, PowerBI would be a bonus.

• You give meaning to data. You enjoy investigating complex problems, and making sense of information. You're confident in your ability to communicate detailed information in an impactful way.

• You understand that success is in the details. You notice things that others don't. You ask the right questions. Your critical thinking skills help to inform your decision making.

• You act like an owner. You thrive when you're empowered to take initiative, go above and beyond, and deliver results.

• You embrace and champion change. You'll continuously evolve your thinking and the way you work in order to deliver your best.

• Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

#LI-TA

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

• We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

• Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

• We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and program terms and conditions

What you need to know

• CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

• CIBC is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise.

• You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

• We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).

• We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Job Location

Toronto-81 Bay, 33rd Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Big Data Engineering, Business Intelligence Applications, Client Counseling, Communication, Customer Analytics, Data Analysis, Data Management, Digital Analytics, Marketing Analytics, Marketing Strategies, Prioritization, Process Improvements, Teamwork, Waterfall Model