Consultant, Digital Analytics & Integration
Toronto-81 Bay, 18th Floor, Canada
CIBC
Bank on your terms with CIBC – whether it’s in person, over the phone or online, CIBC has you covered.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
Reporting to the Director, Digital Analytics and Integration, the Consultant, Digital Analytics & Integration you will be a key member in the team responsible for creating, designing, communicating and maintaining the Data Structures and Models for all pertinent data sources and systems. You will lead efforts to collaborate with multiple cross-functional teams and data owners to identify key data sources and associated elements, design the interconnectivity and processing pipelines between data sources, manage the implementation of various data pipelines and serve as the owner for data ingestion architecture, design and implementation. The Consultant will serve as a SME for all pertinent data sources across the bank and will be responsible for bringing together numerous datasets, owned by teams across the bank, for all Digital initiatives.
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
Data Science Expertise: Under the guidance of Director, conduct detailed analysis of data and provide data structures to solve business problem leveraging tools like Microsoft Azure, SQL, Python, SAS, Alteryx, Tableau & Power BI. Conduct guided research, typically on the non-traditional resources to solve business problems.
Business Consulting: Participate in business requirements gathering and problem assessment. Gather relevant information related to business processes, functions and operations to evaluate data credibility and quality. Utilize creative thinking to select the most suitable procedure/approach that provides the optimum solutions to business problems. Conduct in-depth analysis for the purpose of identifying revenue generation and cost saving opportunities under the guidance of Director.
Market Relevancy: Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise. Liaise with internal and external sources, colleagues, and others to obtain, provide, verify and discuss information and best practices. Passionate innovators, creators and collaborators who are up for the challenge of building the bank of the future and delivering solutions that meet our clients’ changing needs
Who You Are
You can demonstrate work experience in working with large datasets including both structured and unstructured data and related tools (e.g., SQL or Hive, Spark). Must have experience coding in high level programming languages such as Python, SAS, etc. Must have experience coding with data modelling packages such as Pandas, etc.
You’re a certified professional. You have current accreditation and good standing in M.S. from the quantitative analytics fields.
You're digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it's the right thing to do.
You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
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
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 tests (such as simulation, coding, French proficiency, MS Office). 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, 18th FloorEmployment Type
RegularWeekly Hours
37.5Skills
Alteryx, Databricks Unified Data Analytics Platform, Microsoft Azure, Python (Programming Language), SAS BI, Structured Query Language (SQL), Tableau (Software)* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure Banking Consulting Data Analytics Databricks Data pipelines Pandas Pipelines Power BI Python Research SAS Spark SQL Tableau Unstructured data
Perks/benefits: Career development Competitive pay Startup environment Team events
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