Data Analyst
- Toronto, ON, Canada
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Job details
- Job type
- Contract
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- Posting language
- English
- Posted
Original job description
Artificial intelligence tools are used to assist in screening and assessing applicants for this position
Vacancy: This posting is for a current vacant role, and the successful candidate will be hired into an existing open position.
This is net new role, and the successful candidate will be hired into an new position.
JOB DESCRIPTION
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 visualisation techniques. • Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability. • Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights. • 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 in order to improve them. • Develops data visualizations of "large" amounts of data that facilitate the intuitive presentation of data to decision makers. • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes. • 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. • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus. • Exercises judgment to identify, diagnose, and solve problems within given rules. • Works independently on a range of complex tasks, which may include unique situations. • Broader work or accountabilities may be assigned as needed.
REQUIRED SKILLS AND EXPERIENCE
Qualifications: Foundational level of proficiency: • Technical design optimization. • Decision Making. • Data visualization (Power BI). • Data storytelling and Data mining (SQL/SAS).
NICE TO HAVE SKILLS AND EXPERIENCE
- Github experience Python coding
More about this job
Responsibilities
Design and build dashboards, visualizations, and repeatable analytics solutions that turn large datasets into actionable insights for business decision-makers. Collaborate with stakeholders and analytics teams to improve reporting systems, document processes, and support self-service analytics through tools and training.
Requirements
Foundational proficiency is required in technical design optimization, decision-making, Power BI data visualization, and data storytelling and mining using SQL or SAS. GitHub experience and Python coding are listed as nice-to-have skills; no education requirement is specified.
Skills
- Data Visualization
- Power BI
- SQL
- SAS
- Data Storytelling
- Data Mining
- Dashboard Development
- Data Extraction
- Data Cleaning
- Data Analysis
- Decision Making
- Technical Design Optimization
- Business Analysis
- Stakeholder Collaboration
- Process Documentation
- Python
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Consulting
Keywords
- Artificial Intelligence
- Business Case
- Business Questions
- Dashboards
- Data Visualization
- Power BI
- SQL
- SAS
- Data Storytelling
- Data Mining
- Data Extraction
- Data Cleaning
- Data Analytics
- Reporting
- Business Insights
- Decision Support Tools
- Continuous Improvement
- Stakeholder Collaboration
- Technical Specifications
- Large Datasets
- Process Documentation
- Self-Service Analytics
- Training Programs
- GitHub
- Python