Sr. Data Analyst

Job Description What is the opportunity? Serving as the RBC “Centre of Expertise” within the Next Best Action (NBA) Delivery team in the deployment of data-driven, targeted client communications for Next Best Action. You will champion and successfully manage through uncertainty and change in a fast-paced environment while leading and supporting team members through the process, and keeping them focused on business priorities. We are looking for an experienced Data Analyst & Python Developer to contribute and build upon the ecosystem with collaboration with our technology/business partners across the bank. In this role there is an opportunity to learn and flex into different areas of the ecosystems or additional projects of interest. What will you do? Deliver data driven solutions alongside data scientists and business stakeholders to help monitor and assess quality on the end-to-end system Responsible for researching new capabilities and technologies to drive innovation as appropriate. Manage, optimize, oversee and monitor data pipelines as well as evolving the UI used to inform client targeting related to Next Best Action recommendations. Support infrastructure changes and deployment for NBA Delivery environment. Develop, Transform and optimize marketing process to shape the future of NBA capabilities. Develop Jupyter notebook environment and python coding standards. Make coding changes as necessary (Python, SAS, SQL) to bring the optimize the code. Must have: 2+ years in software engineering or software development with a language like Java, Python, Scala or equivalent. Hands-on proficient experience with Python, SAS, SQL, data warehouse, R, and Scala is an asset. 2+ years in experience of SQL and relational databases like MySQL, Postgres, SQL server, Snowflake or equivalent Demonstrated strong problem-solving skills and the ability to adapt quickly to emerging technology Experience simplifying and automating work and making things better for clients. Ability to work independently and collaboratively as required in an agile environment. A curiosity and passion for continuous learning and helping others. Bachelor’s degree or master’s degree in computer science, data analytics, software engineering, data engineering or equivalent experience in the field Nice to Have: 2+ years of advanced SAS programming language experience with deep data and technical skills Understanding of software engineering practices and designing solutions with the user's experience in mind Experience with other database technologies (noSQL, graph databases, vector databases etc) is an asset. Knowledge of public cloud (Azure, AWS, GCP, OpenShift or equivalent) platforms and development of applications in multi-cloud, hybrid environments is preferred. Experience with continuous integration and development tools is an asset. Background in development in mobile or web development is an asset. Experience in financial services industry with broad understanding of marketing, product management, sales, finance, pricing, and risk management is an asset. What’s in it for you? We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable Leaders who support your development through coaching and managing opportunities Work in a dynamic, collaborative, progressive, and high-performing team A world-class training program in financial services Opportunities to do challenging work Opportunities to take on progressively greater accountabilities Access to a variety of job opportunities across business and geographies Job Skills Business Intelligence (BI), Commercial Acumen, Critical Thinking, Customer Analytics, Data Analytics, Detail-Oriented, Jupyter Notebook, Programming Languages, Python (Programming Language), Python Automation, Python for Data Analysis, Results-Oriented, Structured Query Language (SQL), Tableau (Software) Additional Job Details Address: RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO City: Toronto Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: PERSONAL & COMMERCIAL BANKING Job Type: Regular Pay Type: Salaried Posted Date: Application Deadline: Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Inclusion and Equal Opportunity Employment At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all. Join our Talent Community Stay in‑the‑know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well‑being of our clients and communities at jobs.rbc.com. RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail. #J-18808-Ljbffr