Senior Data Analyst at RBC | US | Rezi

Senior Data Analyst at RBC

Senior Data Analyst

RBC · US

2 weeks ago

Senior Data Analyst

RBC · US

15 days ago
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About the Role

As a Senior Data Analyst, you will support decision making in the Wealth Management business and translate complex data into actionable insights. This role allows you to leverage business strategy, data visualization, storytelling, descriptive and prescriptive analytics, statistics, and programming skills to assist leaders in making critical decisions.

Responsibilities

  • 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.
  • Ensure adherence to governance, compliance, and data quality standards.

Requirements

  • 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.
  • 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.
  • Hands-on experience with Tableau, Power BI, Snowflake, Alteryx or similar tools.

Skills

  • Critical Thinking
  • Data Administration
  • Data Mining
  • Data Modeling
  • Data Movement
  • Detail-Oriented
  • Group Problem Solving
  • Quantitative Research
  • Research Documents
  • Data Visualization
  • Storytelling
  • Descriptive Analytics
  • Prescriptive Analytics
  • Statistics
  • Programing
  • R
  • Python
  • SQL
  • SAS
  • Tableau
  • Power BI
  • Snowflake
  • Alteryx

Location

  • 250 Nicollet Mall, Minneapolis, MN, United States of America

Work Type

  • Full time

Experience Level

  • Senior
  • Five or more years of professional experience

Education Level

  • Bachelor’s degree in Mathematics, Data Analytics, Engineering, Computer Science or related field
  • Advanced degree (Master's or Ph.D.) in a quantitative field (e.g., Computer Science, Statistics, Economics, Engineering, Mathematics, etc.)

Salary/Compensations

  • $70,000 - $130,000

Benefits

  • A comprehensive Total Rewards Program including bonuses and flexible benefits
  • Competitive compensation
  • Commissions
  • Stock where applicable
  • Leaders who support your development through coaching and managing opportunities
  • Flexible work/life balance options
  • 401(k) program with company-matching contributions
  • Health, dental, vision, life and disability insurance
  • Paid time-off plan

About the Company

  • At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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.

Equal Opportunity

  • 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.
  • RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.