Power BI Vs Tableau: Which is better?
2025年9月22日
2025-09-21 the latest Data analysis Position
2025-09-21 the latest Data analysis Position
IT/DS Analyst (Data Quality Specialist) – Information Management Group
Centre for Addiction and Mental Health —Toronto, ON3.9
The DATIS program in the Information Management Group at CAMH manages provincial products and applications, including storage and maintenance of provincial data…
$37.51–$50.60 an hour
Responsibilities will include:
Developing and implementing feasible and sustainable processes for data quality review, reporting
Gaining expertise on the Mental Health and Addictions Provincial Data Set and data quality processes
Engaging with stakeholders, funders and partners to identify their data-related needs and support the implementation and continuous improvement of data management processes and reporting
Preparing resources, materials and communications for communicating data standards with different audiences (e.g., guidelines, information letters/emails, frameworks, reports, and presentations)
The successful candidate will have:
Master’s degree in Health Informatics or a related discipline with a minimum of three (3) years’ related experience in the health services field and specific experience in mental health and addictions services and/or health data management
Experience with implementing, collecting and analyzing health data sets, and related data quality and reporting processes and procedures
Demonstrated experience with collection and use of data for decision support, quality improvement and/or evaluation
Fluency with at least one statistical package from among SPSS, SAS or STATA and experience with qualitative software (e.g., NVIVO) is an asset
Strong software skills including experience with Microsoft Office (Word, Access, PowerPoint, Excel). Knowledge of Tableau and/or Atlassian tools is an asset.
ICES Appointed Analyst
WCH —Toronto, ON4.5
The candidate will contribute significantly to the development of data set creation and analysis plans and will assume responsibility for all aspects of the…
$43.37–$53.31 an hour
Summary of duties, but not limited to:
Work with the the research team in developing data set creation plans and analysis plans.
Leads and performs analysis and data manipulation using relevant databases
Create data collection plans and perform statistical modelling
Develop SAS programs to extract and merge data from existing ICES databases
Prepare tables and reports and carry out statistical analyses
. Advises internal and external teams on matters concerning data and data collection; provides support materials such as randomization lists, sample size and power calculations, and reliability assessments
Qualifications:
Master’s degree in a quantitative discipline
Minimum 5 years experience working with IC/ES data holdings
Excellent SAS programming skills including SQL and macro writing
Experience programming in R and Python for data analysis is considered a strong asset.
Skilled in linking, integrating, and manipulating data across multiple databases.
Understanding of basic UNIX commands
Understanding of biostatistical analytic techniques as applied to Health Services Research
Ability to consult with researchers in planning a HSR project and creating a Data Creation Plan
2026 Winter Student – Analyst, Commercial Performance Management
Royal Bank of Canada —Toronto, ON3.9
Currently enrolled in a post-secondary institution studying; Business-Technology Management, Computer Science or similar degree Programs.
The ideal candidate needs to possess a technical aptitude and a strong desire to learn to:
Play a critical role in advancing our automation initiatives on Jira Service Desk.
Enhance metric automation.
Support the growth of our cloud infrastructure through Snowflake.
Contributing to the development and expansion of our knowledge base, including the creation of a comprehensive library of Frequently Asked Questions (FAQs).
Assist with maintaining Kanban Board & Backlog.
Participate in special events and projects.
Develop and maintain relationships with colleagues and stakeholders.
What do you need to succeed?
Currently enrolled in a post-secondary institution studying; Business-Technology Management, Computer Science or similar degree Programs
Strong communication and interpersonal skills
Ability to work effectively in a team environment
Strong computer skills, including Microsoft Office
Experience with Jira & Jira Service Desk
Ability to work in a fast-paced environment and prioritize tasks
SQL; Python; SAS; Tableau; GitHub
Data Analyst, Payment Decision Support
PC Financial —Toronto, ON3.1
The Data Visualization and Insights role be pivotal in enhancing our understanding of data, embedding analytics into everyday decisions through the development…
What you will do:
Utilize Tableau to discover and present performance insights and characteristics, focusing on leveraging pre-made Tableau cubes.
Navigate and understand Google Cloud/Google BigQuery data sets
Strong ability to connect different data sources together using SQL and SAS
Create compelling charts, graphs, and dashboards to communicate data insights
Support the Senior Manager to develop engaging storylines for Director and VP-level audiences in departments such as Marketing, Product, and Finance.
Collaborate with a team of computer scientists and data engineers to extract and transform data,
Foster strong relationships with analysts across various departments, ensuring effective communication and engagement.
What you bring:
Bachelor’s degree in Economics, Econometrics, Engineering, Data Science or a related field.
Strong coding background – SQL and Python are a must. Special consideration will be given to candidates with Pyspark experience
Strong to expert knowledge of Tableau, with the ability to build insightful dashboards.
Working knowledge of data engineering processes and principles.
Experience in guiding a team to support data extraction and transformation for effective storytelling.
Senior Business Intelligence Analyst
York University —Toronto, ON4.2
OIPA is involved in several projects including (i) accountability reporting, (ii) support to strategic planning, (iii) enrolment projections, including…
$103,256–$112,097 a year
Purpose:
The Office of Institutional Planning and Analysis (OIPA) coordinates the collection of data needed for responses to internal and external requests for information, and provides historical, current, and predictive views of York’s operations with the intention of improving institutional performance.OIPA is involved in several projects including (i) accountability reporting, (ii) support to strategic planning, (iii) enrolment projections, including enrolment analysis, monitoring, and internal reporting, (iv) faculty analysis and internal reporting, (v) student and graduate surveys, (vi) external statistical reporting to government agencies and rankings, (vii) market research and foresight analysis, and (viii) data strategy and governance. This role bridges technical data expertise with institutional planning, ensuring that insights drawn from data directly inform decisions across academic and administrative units. The position models, reviews and analyzes data from internal and external sources, designs and develops reports and interactive dashboards. The Senior Business Intelligence Analyst also conducts research, synthesizes findings, and shares best practice processes to develop go-forward plans and future state reporting options
Experience:
Bachelor’s degree in a relevant discipline, such as Data Science.
Five years of related experience, in a balanced business/technical environment with a developed technical background.
Experience working in a large, complex organization, working with various levels of leadership.
Business Intelligence knowledge: experience leading business intelligence projects and advanced knowledge of business intelligence tools (e.g., Power BI & Tableau).
Data management knowledge: experience with data migration and ETL tools, data warehouses, data mining (including SQL, SAS) and various databases (e.g., MySQL, Oracle, MS Access etc.).
Proficiency in qualitative and quantitative data analytics, data visualization, and data reporting.
Ability to synthesize information and create meaningful reports from raw data
Advanced proficiency with BI tools (e.g., Power BI, Tableau)
Advanced skills in Excel and PowerPoint (including DAX queries.
Experience with Azure technology stack preferred.
Experience with statistical languages such as R, Python, STATA, SAS.
Proficiency in Structured Query Language (SQL).
Specialist Product Ownership – BI Solution (1-year contract)
Nestlé —North York, ON4.3
Bachelor’s or master’s degree in computer science, Information Systems, Data Analytics, or a related field from a recognized institution, accompanied by…
A day in the life of a Specialist Product Ownership – BI Solution:
As a BI Solution Owner, your key outputs will include visually compelling and interactive data visualizations, interactive applications created using Power Apps, visually appealing UI designs using tools like Figma, prototypes for validation, and reports/presentations to provide context and insights.
By utilizing best practices, you can create more accurate and insightful data visualizations, automate repetitive tasks, and improve the overall efficiency of your work.
Overall, your outputs will empower stakeholders to understand and utilize data effectively for informed decision-making and drive meaningful outcomes. By combining your expertise in data analysis, design principles, technology, and AI, you will be able to create outputs that provide valuable insights and drive business success.
Role Requirements
Bachelor’s or master’s degree, accompanied by relevant certifications in business intelligence (BI).
3 years of experience in information technology, demonstrating proficiency in program/project management and business analysis.
Proven ability to work in a global environment, leading virtual teams consisting of business and IT stakeholders.
Ideally, possessing experience in a leadership capacity within one or more business functions, showcasing the ability to drive and influence organizational decisions.
Experience in development lifecycle of solution and migration and testing strategies
Knowledge of agile, scrum, hackathon, and design thinking methodologies
Good knowledge of BI tools like Power BI, Power Apps, SAS, SAP BW
Data Modelling / Star Schema and writing Optimized SQL scripts
Business knowledge in “FMCG/CPG” OR “Retail” industry
Consultant, Risk Analytics – Retail Credit Risk Data Operations
CIBC —Toronto, ON3.7
We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit…
How you’ll succeed
Consistency of delivery – You will ensure overall data integrity for the receipt and distribution of data to and from RLOB, CRDS scorecards including business to business agreements and work with technology partners to enable operational data management.
Data governance – You will ensure strong level of data governance within the Retail CRDO domain and support data governance activities on the enterprise level.
Month end data delivery – You will responsible for the execution and monitoring of the month end data availability for RLOB and CRDS.
Build relationships – You will provide accountability and independent challenge of risk data management processes to the business.
Who you are
You have experience with data analytics and visualization tools such as SQL and/or SAS, PowerBI, Tableau.
You have knowledge and experience relating to retail credit risk data.
You have a diploma in computer science/programming,
You give meaning to data. You understand the importance of well managed and governed information to enable meaningful analytics and business decisions. You enjoy investigating and solving complex problems, and making sense of information. You’re confident in your ability to communicate detailed information in an impactful way.
Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
Business Intelligence Analyst
University of Toronto —Toronto, ON4.3
Exhibit strong experimental design skills used in practice, including research questions and research design, statistical hypothesis testing, linear regression,…
$97,348–$124,491 a year
Date Posted: 09/18/2025
Your responsibilities will include:
Conducting detailed data analysis to inform management decision making
Conducting data modelling for predictive analysis
Assessing and determining benchmarks and metrics for alumni programming and advancement activities
Analyzing the effectiveness of campaigns and/or programs
Advising clients and technical subject matter experts on best practice for documenting business requirements
Probing for information to determine requirements for ad hoc data requests
Essential Qualifications:
Bachelor’s Degree in Geography, Urban Planning, Economics, Computer Science;
Minimum five (5) years of relevant experience with manipulating, transforming, and analyzing complex, high-volume, high dimensionality data from varying sources.
Direct experience in a fundraising/not-for-profit environment; specifically, familiarity with annual giving, major gift and planned giving prospect identification and acquisition strategies.
Exhibit strong experimental design skills used in practice, including research questions and research design, statistical hypothesis testing, linear regression, classification, resampling methods, linear model selection and regularization, non-linear regression, tree-based methods, support-vector machines, unsupervised learning, experimental contrasts, factorial experiments, and within-subjects experiments.
Direct experience and demonstrated expertise required on Blackbaud CRM.
Direct experience and advanced BI visualization tool skills (Microsoft Power BI, Microsoft Excel, Power Pivot, Tableau).
Direct experience and demonstrated expertise using statistical programming languages (SPSS,SAS, R, Python, SQL, etc.) and their associated machine learning libraries.
Direct experience with census data, postal code-based data, spatial data, geographic data hierarchies and mapping in a geographic information systems like ARC GIS.
Direct experience and demonstrated expertise of geodemography, demographics, segmentation and survey data including Environics Analytic’s PRIZM segmentation system, WealthScapes and Social Values databases.
Specialist Channel Analytics
Sobeys —Mississauga, ON3.5
You will use Google Analytics, SAS, SQL, and Salesforce MCI to derive insights that will influence business decisions, drive value for our customers, and aid…
Here’s where you’ll be focusing:
Generate reports for Empire’s digital customer channels such as B2C and B2B websites, mobile apps, and direct-to-customer communications.
Streamline and organize the digital channel data, ensuring accuracy and reliability, accountability for data sources and measurement methodologies.
Analyze digital channel performance, user behaviour, and conversion
Use Salesforce’s Marketing Cloud Intelligence (MCI) & and Customer Data Platform (CDP) and Google Analytics 4 (GA4) to create and maintain Salesforce MCI or LookerStudio dashboards
Key cross-functional accountabilities with other lines of business
working closely with the Customer Analytics, Consumer Insights, and Media teams to gather campaign and channel reporting requirements, align on key performance indicators,
Able to engage in active listening to gather requirements and develop digital channel analytics
What you have to offer:
3 to 5 years of relevant experience in B2C marketing, data or analytics with a primary focus on digital
Proficiency in Google Analytics 4 (GA4)
Proficiency with SAS and SQL
A post-secondary degree in data science, marketing analytics, commerce, or related field
Experience with Looker Studio or MCI (An asset)
Experience with Google BigQuery or Synapse (An asset)
Experience with Salesforce CDP (An asset)
Experience in omnichannel retail (An asset)
Analyst (contract)
Agricorp —Guelph, ON3.5
Bachelor’s degree in business, economics, statistics or mathematics, actuarial science, data science or equivalent experience. Work status: Full time in office.
$63,814–$75,075 a year
Please submit your application for this position by September 26, 2025.
The Analyst provides basic analysis for projects and processes, focusing on the needs of our internal customers. In this role, you will:
Conduct analysis to support ongoing departmental processes, such as, reporting, price calculation, rate setting
Provide analytical support for ongoing divisional and organizational projects and processes
Act as a project team member as required
Interpret and synthesize analytical results
Respond to ad hoc requests for data, reports and information to support business efforts
Effectively communicate information to staff and stakeholders
Research and develop discussion papers and reports
Qualifications
Bachelor’s degree in business, economics, statistics or mathematics, actuarial science, data science
Minimum one years’ experience using analytical expertise, effective communication and organizational skills
Advanced knowledge of Microsoft Office software, including Word, Excel, PowerPoint, and Access
Strong analytical, mathematical and statistical skills
Experience working with business processes, legislation and regulations an asset
Basic knowledge of Statistical Analysis System (SAS) an asset
Agricultural or agronomic background an asset
- Tableau, 加拿大就业, 政府与银行 offer, 数据分析师, 零基础
数据分析专题文章
酒店预订数据分析报告（Pivot Table 实战案例）
2025年9月10日
用Excel深度剖析零售数据，解锁业绩增长密码
2025年8月12日
AI时代的数据分析师：从工具到思维，如何用技术重塑你的工作方式？
2025年7月24日
数据可视化革命：Tableau一键引爆？
2025年7月1日
Python for Office Automation
2025年6月17日
Excel data analysis: Risk management
2025年6月3日
Frustrated ! Self study data analysis
2025年5月22日
How to find Job in Big 5 Canadian Banks
2025年5月22日
你也可以成为AI提问师
2024年10月31日
