Digital Insight Analyst Digital Insight Analyst …

in Toronto, ON, Canada
Permanent, Full time
Be the first to apply
in Toronto, ON, Canada
Permanent, Full time
Be the first to apply
Digital Insight Analyst
What is the opportunity?

As a Digital Insight Analyst you will work closely with Product Owners and development teams, to promote the growth and continuous improvement of RBC's digital channels through in-depth analytics. Ranked among the top digital experience across North America, RBC is always looking for ways to delight and improve the user experience through improved use of analytics at the point of client interaction.

In this role you will work alongside a RBC product owner, and be responsible for analyzing the digital behavior of clients and providing modeling and execution support to assist in personalizing experiences. As part of the Data Analytics team, you will be a part of a team where data, measurement, and analysis is integral to smart decision making and building awesome products and features. The ideal candidate has a passion for data, a strong background in quantitative analysis and the latest technologies and an interest in finance and banking. Digital Insight Analysts will provide objective, value-added insights and analysis to help drive optimization across products KPIs (i.e increased usage and sales recommendations). The person in this role will build critical understanding of our customers and how they use our products and help the team be a strong internal voice for the power of analytics as a driver of business value. The delivery of business value in this role comes from a combination of knowledge transfer to key stakeholders and the provisioning of data services and tests to client facing applications (Public websites, Online Banking, Mobile apps).

What will you do?
  • Analyze large data sets and representing the behavior of digital product users to provide insights about user actions that help owners optimize on KPIs (i.e. conversions, attribution models, path analysis, cohort analysis, conversion analytics, etc.)
  • Consult with digital team leaders to understand goals and identify potential analytics projects or solutions to further the objectives of the Digital Product teams
  • Support Multivariate and A/B testing by exposing core insights from the data to suggest, create and execute multivariate or a/b/c tests that drive fundamental improvements to the site experience.
  • Responsible for managing and developing business relationships with Digital product owners and key partners, including conducting regular monthly business reviews
  • Deliver clear, concise and timely analysis with team members and stakeholders identifying trends, issues and opportunities, performance analysis, dashboards, benchmarking, sales reports, customer profile/segmentation, etc.
  • Work closely with developers to dynamically modify digital content based on business rules and models
  • Prepares and delivers presentations to Digital product owners and Senior Leaders

What do you need to succeed?

  • 4+ years' experience in related digital product development or data mining role
  • BA/BSc or above in mathematics, statistics, economics, computer science, software engineering or related quantitative field
  • Advanced knowledge of R, Python, SQL or SAS
  • Understanding of marketing analytics, data mining, experimentation and measurement
  • Knowledge of web and mobile development processes
  • Ability to multi-task and prioritize/complete projects in a timely manner
  • Strong team player with track record of collaboration and experience working as part of an agile team
  • Excellent verbal, written, communication and presentation skills
  • Highly detail oriented and comfortable with large amounts of data
  • Proven analytics and problem solving skills
  • Strong drive and desire to understand relationship of organizational components

  • Familiar with online tools such as Google Analytics Premium and Tableau,
  • Knowledge of graph analytics (Neo4j, DataStax, Neptune)
  • Experience with the deployment of APIs and services for front-end personalization
  • Knowledge of graph analytics (Neo4j, DataStax, Neptune)
  • Ability to code in Scala
  • Knowledge of statistical modeling and forecasting