Data and Reporting Analyst
Role Overview
Toronto-based hybrid role providing analytics expertise and insights that support business results and group goals.
Works with data and analytics professionals to optimize, refine, automate, and scale analysis into repeatable solutions and decision-support tools.
Key Skills for This Role
Full Job Posting
Role overview
Toronto-based hybrid role providing analytics expertise and insights that support business results and group goals.
Works with data and analytics professionals to optimize, refine, automate, and scale analysis into repeatable solutions and decision-support tools.
Responsibilities
- Build dashboards using appropriate data extraction, cleaning, and visualization techniques.
- Deliver insights through reporting and data visualization; configure analytics solutions for consistent and repeatable use.
- Identify visualization improvements, trends, and patterns that turn raw data into actionable business insights.
- Work with teams, management, and stakeholders to improve the usability and presentation of analytics solutions.
- Translate business needs into technical specifications and evaluate existing visualization systems.
- Create visualizations of large data sets that make information intuitive for decision-makers.
- Document data flows, systems, and processes to improve business/group process design and management.
- Develop reporting tools and deliver training in reporting and self-service analytics for non-analytical users.
- Work independently on complex tasks, diagnose and solve problems, and take on broader accountabilities as needed.
- Apply the bank’s risk framework and make risk-informed decisions consistent with strategy, policies, and regulations.
Qualifications and skills
- Experience developing SQL queries to extract data.
- Experience with data mining software or languages such as SAS, SQL, or Python is an asset.
- Experience manipulating, aggregating, and analyzing data in MS Excel.
- Experience building reports with SSRS, Visual Studio, or Power BI.
- Related post-secondary degree or equivalent combination of education and experience; technical proficiency gained through education and/or business experience.
- Foundational proficiency in technical design optimization, decision-making, systems thinking, data visualization, data storytelling, data mining, illustration, creative thinking, and problem-solving.
- Intermediate proficiency in insights design and development, reporting, verbal and written communication, collaboration, analytical and problem-solving skills, and data-driven decision-making.
Pay information
- The listed salary range is $55,500–$120,000 and the pay type is salaried; no compensation cadence is stated.
Workplace
- This is a hybrid, Toronto-based role.
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