Power BI Vs Tableau: Which is better?
2025年9月22日
2025-11- data analysis Job decription
Data Scientist, Data and Analytics Licenses
Starbucks —North York, ON3.8
Benefits include tuition reimbursement, health coverage with a variety of plans to choose from, and stock & savings programs like our equity reward program,…
$95,500–$129,990 a year
As Decision Scientist, you will…
Use quantitative decision models and analytical methods to derive answers and recommendations.
Design experiments to validate business decisions and measure impact.
Develop dashboards, visualizations and reports to communicate insights to non-technical stakeholders.
Data Preparation: Extract and synthesize data from various databases, including Azure: data lake storage, SQL server and legacy systems: Oracle; perform exploratory data analysis, cleanse, massage, and aggregate data
Data Visualization: Work under consultative or self-initiated direction to assess and produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated information.
We’d love to hear from people who are:
Holding 1+ years experience in data analytics or a relevant field
Holding a Bachelor’s Degree with a concentration in Business, Stats, Math, Comp Sci,
Always learning and seeking out new benchmarks and industry trends instead of relying on the norm
Knowledgeable and understanding of Starbucks, Licensing and franchising business, food and beverage industry and general business and financial acumen.
Demonstrated experience with data visualization tools (e.g., Tableau, Power BI) and Microsoft Office Suite
Demonstrated proficiency with SQL, SAS, Python or R
Proven knowledge of statistics (descriptive, regression, etc.)
Experience with market research is considered an asset
Specialist, Planning & Reporting
Bell —Mississauga, ON3.7
University degree with a Mathematics, Business, Economics, Marketing, Statistics and/or related discipline. From Bell’s best networks for the home, the office…
Application Deadline: 11/13/2025
Key Responsibilities
Leverage sales drivers and analytics to develop insights, reports, trends and scorecards
Prepare and present forecasts and analysis to senior leadership team
Work with cross functional teams to negotiate and communicate targets
Manage month end estimates and explain delta to targets
Track pricing updates and manage channel discretionary budgets to facilitate sales
Provide input to strategic planning, business planning and budgeting exercise
Reporting and other ad hoc analyses on sales related results
Critical Qualifications
3+ years experience in forecasting, planning or data analytics roles
Advanced knowledge of Excel and Power BI; Ability to extract data with SQL
Experience in a large organization and the ability to work with cross functional stakeholders
University degree with a Mathematics, Business, Economics, Marketing, Statistics
SAS, PowerPivot, Python
Experience in Telecommunications or Sales assisting roles would be considered an asset
Adequate knowledge of French is required for positions in Quebec.
Business Intelligence Engineer
Amazon Development Centre Canada ULC —Vancouver, BC3.5
This position requires the candidate to develop a deep understanding of the organization and key goals, earn trust with senior leadership, influence without…
$76,400–$127,600 a year
Key job responsibilities
Perform complex business analysis to help drive organizational decision-making
Complete root cause analysis and provide recommendations to senior leadership to address opportunities
Develop automated metrics that will give senior business leaders insight into the performance of their respective teams and the organization as a whole
Develop and maintain Tableau dashboards
Develop key metrics and shared goals that determine success for a particular area
Take on shared ownership of the weekly organizational metrics scorecard
A day in the life
A day in the life of a BI engineer at IT PnD involves building large-scale reporting solutions using tools like Tableau and QuickSight. The day typically starts with a team stand-up to align on priorities, followed by deep work on developing and refining data transformation, building reports and automating processes.
BASIC QUALIFICATIONS
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience writing complex SQL queries
Experience in Statistical Analysis packages such as R, SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience in the data/BI space
Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
Entry-Level Statistician, Health Economics & Outcomes Research (HEOR)
Broadstreet Health Economics and Outcomes Research —Vancouver, BC
Master’s degree in Statistics, Biostatistics, Public Health or Epidemiology with a statistical focus. Excellent communication skills, with the ability to…
$80,000–$100,000 a year
Responsibilities will include:
· Data retrieval and management of databases for cohort-based studies, including writing computer programs to generate analytical data sets.
Conduct descriptive and inferential statistical analyses to support research objectives.
Contribute to writing scientific manuscripts, reports, and proposals, including preparing tables, figures, and methods sections.
· Provide statistical support to colleagues, including guidance on data interpretation, coding, and visualization.
Required skills:
Strong analytical and quantitative problem-solving skills.
Excellent communication skills, with the ability to explain statistical concepts to non-technical audiences.
Experience conducting meta-analyses and network meta-analyses is desirable.
Proficiency with Microsoft Outlook, Excel, Word, and PowerPoint is required; familiarity with a statistical or data visualization package would be an advantage.
Master’s degree in Statistics, Biostatistics, Public Health or Epidemiology with a statistical focus
Extensive knowledge of statistical software packages: R required, SAS not required, but will be considered an asset
Experience in analysis and interpretation of medical/health-related data
SQL coding is not required, but will be considered an asset
Data Analyst
Modern Scientist Global —Remote
The successful candidate must have either a graduate degree in statistics, biostatistics, epidemiology or other quantitative field (MSc or higher) with at least…
Quick apply
Core responsibilities for the successful candidate include:
Analyzing a variety of health and nutrition-related datasets
Work efficiently with large complex datasets including thousands of observations and missing data to clean and merge datasets for analysis
Applying advanced statistical methodologies to analyze and weight datasets
Development of technical reports, presentations, and other dissemination activities
Collaboration with fellow research analysts and scientists
Other duties and roles as agreed upon with supervisor
Qualifications
The successful candidate must have either a graduate degree in statistics, biostatistics, epidemiology or other quantitative field (MSc or higher) with at least two (2) years of experience in conducting advanced statistical analysis of large datasets, or a bachelor’s degree in statistics, biostatistics, or other quantitative field with three to five (3-5) years of experience.
Extensive experience with R, Stata, SAS, or SPSS software.
Prior experience estimating analyzing datasets on global public health outcomes,
Prior quantitative research experience applying advanced statistical techniques.
Proficiency with Microsoft Office Suite.
Bachelor’s Degree (required)
Hybrid Data Engineer (Python / PySpark)
Maplesoft Group —Ottawa, ON3.7
Strong understanding of data quality concepts, data processing workflows, and distributed computing. Proven ability to interpret pseudo-code and legacy code (…
Date Posted: 10-28-2025
Key Responsibilities:
Develop Python/PySpark code to generate data quality indicators and produce data quality reports.
Translate pseudo-code and existing SAS logic into efficient, production-ready Python/PySpark solutions.
Enhance and optimize existing Python/PySpark programs to improve performance, scalability, and maintainability.
Further automate data quality processes to increase operational efficiency and reduce manual effort.
Support testing, troubleshooting, and documentation activities as required.
Required Qualifications:
Demonstrated experience developing solutions in Python and PySpark.
Proven ability to interpret pseudo-code and legacy code (e.g., SAS) and translate into modern frameworks.
Experience optimizing and automating data pipelines.
Gitlab (Intermediate level)
SAS Macro (senior level)
SAS Programming (senior level)
Data quality (senior level)
Data Preparation (senior level)
Python (senior level)
Apache Spak (senior level)
Experience working in cloud-based data environments.
Knowledge of SAS conversion or modernization initiatives.
Experience with Amazon Redshift.
Research Analyst
Agricorp —Guelph, ON3.4
Organize analytical tasks and project activities for program analysis in a way that promotes efficiency. The Program Development division plays a vital role in…
$70,757–$83,243 a year
Please submit your application for this position by November 5, 2025.
In this role, you will:
Develop user-friendly reports using complex databases and analytical processes
Research, collect data and coordinate the analysis for four main groups of activities in Program Analysis: forecasting, analysis, reporting and premium rate setting
Organize analytical tasks and project activities for program analysis in a way that promotes efficiency
Provide support and assistance in the delivery of tasks outlined in the Annual Business Calendar as required
Frequently resolve complex issues using own experience, technical skill, strong collaboration with colleagues, and policies and procedures
Investigate and interpret product and/or program information and provide input to enable others to make recommendations
Qualifications
Bachelor’s degree in agricultural business, economics, statistics or a related field
Minimum 3 years’ experience in analytical roles and communicating with diverse stakeholders
Relevant mathematical, statistical and forecasting experience
Knowledge of Agricorp’s programs and systems, including AgriStability and Production Insurance an asset
Advanced knowledge of SAS programing an asset
Manager, Customer and Campaign Analytics (BNSIA)
Scotiabank —Toronto, ON3.9
Synthesizing data to identify trends and deliver key insights and business recommendations Partnering with key internal stakeholders, including marketing,…
What You’ll Do:
Support the Senior Manager in the execution of all projects covering customer insights generation, campaign management and customer level reporting. The Manager will be involved in different stages of projects from tracking, test design, list creation and delivery through multiple channels (email, digital, telemarketing), offer fulfilment, and campaign performance reporting
Lead development of recurring Customer level reporting support key areas of the business
Develop a single, 360-view of a customer to make decisions about how to best acquire and retain customers, identify high-value customers and manage channel preference and risk.
Interpret marketing and customer data to identify new opportunities on how to best target and appeal to customers.
Define, develop, and execute targeted campaigns to accelerate sales, reduce attrition and grow revenue.
Deliver timely, high quality customer campaigns/ initiatives (including lists requests, test design, campaign management, post campaign analyses and insights)
Developing customer analytics, reporting and dashboards with single view of customer to provide timely and accurate customer insights to key internal stakeholders.
Synthesizing data to identify trends and deliver key insights and business recommendations Partnering with key internal stakeholders, including marketing, merchandizing and operations teams, to develop promotions and campaigns that drive sales to targeted customers
Leverages SAS and other tools to produce data sets, analyses, tabulations, graphics
Applying advanced analytical and statistical techniques to solve marketing questions
Assist in ad-hoc requests as required from the business
What You’ll Bring:
Degree in Mathematics, Statistics, Finance, Economics
Advanced Degree in Analytics/Business preferred
4+ years experience in Analytics or MIS/Reporting
4+ years experience in programming with SAS/SQL/Python as well as Power BI/Tableau
Strong knowledge and proficiency with building data models and infrastructures – data mining, data profiling, modeling, cleansing, enriching as well as extract, transform, load (ETL) solutions and scripting
Python / SAS programming expertise – Python/SAS Certification is highly desired
Strong Excel and Power BI expertise Knowledge of Insurance business line and banking experience is highly desirable
Expert with dashboards, KPI, business metrics generation
Trading Strategy Analyst
Pinnacle
4950 Yonge Street, North York, ON M2N 6K1
Key Responsibilities
Design and prototype new trading models and features based on market analysis, backtesting results,
Conduct systematic research into alternative modeling approaches, data sources, and strategy frameworks to expand the capabilities of automated trading systems.
Provide sport-specific domain knowledge and strategic feedback to R&D on game models.
Collaborate with sportsbook stakeholders to optimize current automated trading behaviour and ensure trading integrity.
Act as a subject matter expert on trading strategies for sportsbook managers and traders.
Maintain accurate and accessible logging of trading automation behaviours.
Preferred Qualifications
Bachelor’s degree in Computer Science, Mathematics, or a related field.
Experience with, or advanced knowledge of, Sports Betting or Trading.
Advanced understanding of statistics and probability, and their application in trading or modeling contexts.
Proven ability to assess and prioritize technical work based on business impact, trading performance metrics, and resource constraints in a fast-paced environment.
Experience using ticketing systems such as JIRA.
Data analysis skills using R.
Working knowledge of SQL.
Familiarity with Splunk or similar monitoring tools.
Reporting Analyst- job post
Spectrum Health Care
2 Bloor St E Suite 1200, Toronto, ON M4W 1A8
Job Description
Collaborate with stakeholders to gather and document reporting requirements
Prepare and deliver accurate, timely, and relevant reports tailored to stakeholder needs.
Analyze healthcare-related data to identify trends, performance gaps, and improvement opportunities.
Maintain and enhance reporting tools and dashboards using business intelligence platforms.
Support ad hoc reporting requests and provide insights to assist with operational and strategic planning.
Continuously improve reporting processes and identify opportunities for automation and efficiency.
Qualifications
Bachelor’s degree in Business, Health Informatics, Data Analytics, or a related field.
3–5 years of experience in reporting, data analysis, or business intelligence, preferably in a healthcare environment.
Strong understanding of healthcare data, metrics, and reporting standards.
Proficiency in data analysis tools such as Excel, SQL, Tableau, Power BI, or similar platforms.
Excellent attention to detail and commitment to data accuracy.
Strong communication skills with the ability to translate data into clear, actionable insights.
Ability to manage multiple reporting requests and prioritize effectively in a fast-paced environment.
