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A leading financial institution in Toronto is seeking a Data Analyst to enhance business intelligence through management reporting and automation solutions. The role involves collaborating with the HEF Business team and migrating coding from SAS to Python, as well as optimizing reports using Tableau. Candidates should have 2+ years of experience in data analytics within the Financial Services sector, with proficiency in SAS, SQL, and Python. This is a 12-month contract position with opportunities for impact and collaboration.
Job Summary
Job Description
Please note: This is a 12-month contract role to cover a parental leave.
What is the opportunity?
The Data Analyst role on HEF Analytics team will be responsible for management reporting and developing automation solutions for HEF Business team.
What will you do?
Execute and maintain reports in with regular cadence to ensure effective monitoring
Proactively identify inefficiency in the reporting process and responsible for automation solutions
Act as key contributor for coding migration from SAS to Python and further automation using advanced tools through collaboration with Infrastructure team
Optimize existing reports in Tableau and PowerPoint to tell stories using data. Collect feedbacks with various users to improve and meet their needs
Develop code samples for the team and establish coding standard
What do you need to succeed?
Must have:
2+ years of data analytics or data science experience in the Financial Services industry, knowledge of credit products preferred
Proficient technical skills in SAS, SQL, Python, Tableau
Knowledge of data infrastructure and automation tools
Strong collaboration and time management-skills with high attention to detail
Effective written and verbal communication skills
Intellectually curious, independent, growth mindset with bias for action
Nice to have:
Technical skills: experience with Data Lake, Trino, etc.
Understanding of the mortgage industry, including the financial drivers of the business
Bachelors /Masters degree in a quantitative field is (e.g. Statistics, Computer Science, Business, Economics, Engineering, etc.)
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.
Ability to make a difference and lasting impact
Work in a dynamic, collaborative, progressive, and high-performing team
Opportunities to do challenging work
Job Skills
Critical Thinking, Data Administration, Data Mining, Data Modeling, Data Movement, Detail-Oriented, Group Problem Solving, Quantitative Research, Research DocumentsAdditional Job Details
Address:
RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTOCity:
TORONTOCountry:
CanadaWork hours/week:
37.5Employment Type:
Full timePlatform:
PERSONAL & COMMERCIAL BANKINGJob Type:
Contract (Fixed Term)Pay Type:
SalariedPosted Date:
2025-07-29Application Deadline:
2025-08-12Note: 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.
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