64567-1 - Sr. Data Analyst working with SAS, SQL and PowerBI to support strategic initiatives for a banking client

LOB: Business Analytics & Insights

Est. Start Date: July 15th, 2024

Duration: 6 months with possible extension

Working Location: DT Toronto - Hybrid

Must-Have Skills

• 5+ years of experience as a Data Analyst, delivering Data insights to the business stakeholders
• 5+ years of SAS/SQL/PowerBI experience
• Data visualization, data storytelling, data mining
• Previous banking / FI experience

Role Mandate:

Responsible for acting as SME and interface between the tools and resources to provide business intelligence and insight. This individual will be supporting the Personal Lending product group. Analytics involves data mining and data manipulations. This individual will be preparing dashboards and reports for decision making and majority of the job is manipulating and organizing data and preparing reports.

Role Responsibilities (including, but not limited to):

• Provide in-depth analysis and reporting on business performance activities.
• Collaboration with internal teams to develop advanced analysis to drive deeper insight and identify revenue opportunities based on information gathering of current trends, competition, and strategy
• Provide financial and operational support to monitor the business
• Understands and articulates the business case of business questions and the estimated value being delivered
• Designs dashboards and analyses to be performed, and appropriate visualization and analytics tools to use
• Identifies trends and patterns to address identified business questions and provide insights through reporting and data visualization techniques
• Works with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools
• Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualization techniques
• Provides value through insights, reporting and data visualization techniques. Selects, configures, and implements analytics solutions for consistency and repeatability
• Works with different teams, management, and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization
• Translates business needs to technical specifications and evaluates existing data visualization systems to improve them
• Develops data visualizations of "large" amounts of data that facilitate the intuitive presentation of data to decision makers
• Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences
• Ensure data quality, accuracy, and consistency across multiple sources
• Documents data flow, systems, and processes to improve the design, implementation, and management of business/group processes
• Work with cross-functional teams to deliver insights and recommendations that drive business outcomes
• Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights

Interview Process:

• In-person interviews - 33 Dundas West
• 30 - 45 minutes, followed by a SAS Test