Senior Data Analyst

RBC; Minneapolis (MN); On-site; USD 100,000 - 135,000; Full time

Job summary

RBC is seeking a Senior Data Analyst to join the Data Analytics Team at 250 Nicollet Mall, Minneapolis, to transform data into strategic insights for Wealth Management.

You will collaborate with partners, drive end-to-end analytics, and present findings to leaders, enabling informed decisions and measurable value for clients and RBC shareholders.

Qualifications

• Bachelor's degree in Mathematics, Data Analytics, Engineering, Computer Science or related field.
• Five or more years of professional experience in data engineering, analytics and reporting.
• Hands-on experience managing and analyzing data in financial services.
• Strong analysis skills and experience with statistical techniques.
• Technical fluency in analytics tools and programming languages; able to handle large data sets (R, Python, SQL, SAS, etc.).
• Ability to prioritize multiple tasks and collaborate in a team.
• Proven ability to present complex material to non-technical partners.

Responsibilities

• Engage with banking and lending teams on analytics initiatives with clear deliverables.
• Collaborate to define business needs and document requirements for analytics.
• Provide end-to-end analytics support and governance for initiatives.
• Partner with data engineers and leaders to identify value through statistics and visualization.
• Develop tools and information to measure and improve business processes.
• Analyze structured and unstructured data to solve business problems.
• Ensure final reporting meets client needs and governance standards.

Skills

5+ years experience

Data analytics

Reporting

Statistical analysis

Python

R

SQL

SAS

Communication

Education

Bachelor's degree in Mathematics/DS/Engineering/CS

Advanced degree (MS/PhD) in quantitative field

Tools

Python

R

SQL

SAS

Job description

What is the opportunity?

As a Senior Data Analyst, you will be part of the Data Analytics Team based in our 250 Nicollet Mall, MN location. You will support decision making in the Wealth Management business and translate complex data into actionable insights. This is a unique opportunity to be able to leverage business strategy, data visualization, storytelling, descriptive and prescriptive analytics, statistics and programing skills to assist leaders in making critical decisions for their business.

Job Description

What is the opportunity?

As a Senior Data Analyst, you will be part of the Data Analytics Team based in our 250 Nicollet Mall, MN location. You will support decision making in the Wealth Management business and translate complex data into actionable insights. This is a unique opportunity to be able to leverage business strategy, data visualization, storytelling, descriptive and prescriptive analytics, statistics and programing skills to assist leaders in making critical decisions for their business.

If you have excellent communication, innovative thinking, attention to detail, and are looking for the next step in your career, we want to hear from you!

What will you do?

• Engage and build relationships with banking and lending partners on major projects or initiatives, ensuring clear expectations on deliverables and timelines, understanding business priorities, and consulting on comprehensive analytics solutions and success criteria.
• Collaborate with business partners to define and interpret business needs, design and document business requirements, apply best practices to negotiate deliverables, execute the requirements and perform required quality control processes to ensure highest quality.
• Provide end-to-end analytics support, oversight and guidance for analytical initiatives including best practice design principles, approach recommendations, proper governance approaches and effective presentation methodologies in a fast-paced and rapidly changing environment.
• Partner with data engineers, product partners and business leaders to identify meaningful opportunities to add value to the business utilizing statistics, advanced analytics and compelling visualizations.
• Continually look for new ways to develop tools and information that help the business to measure and improve its processes and drive value for RBC clients and shareholders.
• Analyze structured and unstructured datasets to solve complex business problems and tailor solutions that are scalable, verifiable and best fit the user’s requirements.
• Thorough design and development iteration, agile and documentation, review mission goals and ensure that final reporting and analytical solutions match client needs
• Ensure adherence to governance, compliance, and data quality standards.

What do you need to succeed?

Must-have

• Bachelor’s degree in Mathematics, Data Analytics, Engineering, Computer Science or related field
• Five or more years of professional experience in data engineering, analytics and reporting, or related role
• Hands-on experience managing and analyzing data in financial services (e.g. financial services KPIs, UHNW analytics, marketing, fixed income, advisory etc.)
• Strong analysis skills, primarily investigating and explaining trends and variances using statistical techniques.
• Technical fluency in analytics and reporting tools, experience with statistical programming, and capable of analyzing large data sets using at least one data manipulation language (e.g., R, Python, SQL, SAS and ETC).
• Ability to prioritize and execute on multiple tasks as well as adjust to changing priorities and work effectively in a collaborative team environment.
• Proven ability to present and communicate complex, technical materials in a way that facilitates decision making and drives outcomes to non-technical partners.

Nice-to-have

• A self-starter with high energy and a driven curiosity to go beyond the obvious and provide ideas for innovation.
• Advanced degree (Master's or Ph.D.) in a quantitative field (e.g., Computer Science, Statistics, Economics, Engineering, Mathematics, etc.) or experience in financial services.
• Experience building and using AI/ML models, predictive analytics or statistical modeling to solve business problems.