酒店预订数据分析报告（Pivot Table 实战案例）
2025年9月10日
2025-08-24 Latest Jobs
2025-08-24 Latest Jobs
Consultant-Intelligence artificielle et données (Artificial Intelligence & Data)
Slalom Consulting —Montréal, QC3.7
Plus de 3 ans de conception et de construction d’applications de science des données dans un contexte commercial réel, y compris la classification, la…
So, what will I do?
Leverage your applied expertise of statistical and machine learning methods to analyze and solve for a variety of data-centric business challenges
Drive ML/AI competency and thought leadership within the internal Slalom practice; mentor and educate clients and peers on data science methods and best practices.
Execute data engineering work as required: ETL, data modeling,, data warehousing, data ingestion, data profiling, SQL querying and debugging.
And, what will I bring?
3+ years designing and building data science applications in a real-world business context, including classification, prediction, clustering and segmentation, market basket analysis, text mining and topic modeling, recommendation engines and many others.
Hands-on experience with statistical and data mining software packages (e.g. Python – SciPy, NumPy, Pandas, SciKit-Learn, R, Alteryx, SPSS, SAS, etc.)
Experience in applying design thinking / experience design methods for data science is a plus.
B.S. or Masters in Computer Science, Data analytics, mathematics,
Bilingualism in English and French required (speaking and written)
Analytics & Insights Specialist
Meridian Credit Union —St. Catharines, ON3.8
Consults with internal stakeholders to develop actionable insights that help to accelerate aspects of the Member Experience and Strategic plans.
$80,000–$85,000 a year
Key Responsibilities
Analyze, prepares and presents scheduled reports (i.e. key business performance indicators, dashboards and scorecards) and ad hoc reports (i.e. in support of projects or departmental initiatives)
Identifies and monitors key performance indicators, sharing relevant, accurate and insightful findings
Leads qualitative and quantitative analysis of relevant industry and consumer behaviour trends
Provides recommendations to enhance the Member Experience while improving the overall efficiency of its processes
Collaborate with others in the Meridian analytics communities to further the needs of the Line of Business support teams. Engage key stakeholders such as Credit reporting to avoid duplication of effort
Knowledge, Experience and Skills
Degree or diploma in mathematics, statistics or computer science or related discipline;
Experience in a financial institution environment with a strong understanding of financial metrics, segmentation and industry drivers.
Proven analytic skills, including mining, evaluation, analysis, and visualization (ability to analyse large datasets)
Technical writing experience in relevant areas, including queries, reports, and presentations
Strong SQL and Excel skills with the ability to learn other analytic tools
Practical experience in statistical analysis through the use of statistical packages including Excel, Power BI and SAS
Consultant, Application Development (SAS, SQL)
CIBC —Toronto, ON3.7
We work to recognize you in meaningful, personalized ways including a competitive compensation, a banking benefit*, wellbeing support and additional offers such…
How you’ll succeed
Design and development – Perform and coordinate complicated application programming activities. Design the application’s technical infrastructure using specific databases, programming languages, utilities, and testing approaches.
Strategic planning – Develop multi-year technology roadmaps that align with the bank’s vision, strategy, and business goals. Lead multiple complicated projects involving backend systems, new technology, and the enhancement of existing applications.
Leadership skills – Act as the development team lead and run code-review sessions with the wider team to ensure the project is on track to meet goals.
Who you are
You can demonstrate experience in: Core SAS programming (macros, procedures, efficiency and debugging, SQL scripting, SAS Enterprise Guide), Linux, ETL, IBM Netezza, Autosys, Unit Testing, problem solving, analytical thinking.
You embrace and advocate change. You’ll continuously evolve your thinking and the way you work in order to deliver your best.
Your influence makes a difference. You know that relationships and networks are essential to success. You inspire outcomes by sharing your expertise.
You’re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
You’re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.
Manager, Fraud Analytics
Scotiabank —Toronto, ON3.9
Lead / participate in the identification, development and implementation of new initiatives. A University degree in statistics, mathematics or computer science.
Is this role right for you? In this role you will:
Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, drive strong partnership with Fraud Operations
Develop, execute and monitor fraud strategies for Wire, Cheque Deposit, Account Takeover etc. in Commercial Banking, Day to Day Banking, unsecured and secured lending products leveraging data mining tools / advanced analytics skills
Identify and escalate fraud risks that are or will become in excess of the Risk Appetite
Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk
Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have:
A University degree in statistics, mathematics or computer science
3-5 years analytical experience including statistical analysis, related to Fraud Analytics or Risk Management
Strong coding, organizing and manipulating large amounts of data (SQL, SAS, R, Python)
Experience with PRM or similar fraud platform strongly desired
Must be self-motivated, energetic and results-oriented and be committed to adding value to the organization
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
By utilizing best practices, you can create more accurate and insightful data visualizations, automate repetitive tasks, and improve the overall efficiency of your work.
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 in computer science, Information Systems, Data Analytics, or a related field from a recognized institution, accompanied by relevant certifications in business intelligence (BI).
3 years of experience in information technology, demonstrating proficiency in program/project management and business analysis.
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
Planning & Evaluation Advisor
Niagara Region —Niagara, ON3.6
Knowledge of program evaluation, survey development and key performance indicator development to ensure effective measurement of programs, services and…
Requirements
Post-secondary degree and Master’s level
Minimum of 3 years of experience in planning and evaluation in a public health unit or relevant setting
Knowledge in applying and coaching evidence-informed decision making practices and/or rapid review methodologies, including critical appraisal skills, to program planning
Knowledge of program evaluation, survey development and key performance indicator development to ensure effective measurement of programs, services and processes
Knowledge and expertise with both qualitative and quantitative methodologies and data analysis, including statistical analysis software (e.g., SPSS, Stata, SAS, R, NVivo)
Responsibilities
Lead the implementation of planning and evaluation activities, including the implementation of the Planning and Evaluation Framework and the completion of annual business planning processes
Collaborate with the Epidemiologist and Data Analyst
Support the collection, creation, analysis and dissemination of evidence to support decision-making
Provide expert guidance to identify, monitor, and report on metrics and outcomes using data
Perform quantitative and qualitative analyses with the use of statistical software packages and other software instruments on a variety of available data (e.g., survey data, structured and unstructured Electronic Health Record data, focus group data)
Develop an approach to monitor and evaluate program and intervention outputs and outcomes across Public Health and Emergency Services
Manager, Wealth Reporting Analytics & Automation
BMO Financial Group
A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.
$69,000–$129,000 a year
Responsibilities
Identifies emerging issues & trends to inform decision-making.
Recommends & implements solutions based on analysis of issues & implications for the business.
Leads/participates in the design, implementation and management of new analytics & reporting solutions.
Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
Conducts various pre-implementation and post-implementation analyses to estimate/measure analytical business impact (e.g., revenue increase, cost reduction, corporate brand image)
Promotes reporting automation, self-serve analytics consumption, and the culture of analytics-driven decision making.
Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
Designs and produces regular and ad-hoc reports, and dashboards.
Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
Documents and maintain operational procedures and processes relating to analytical and reporting processes.
Qualifications:
Typically between 5 – 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to SAS, SQL, Power BI, Python, AWS – Nice to have
Deep knowledge and technical proficiency gained through extensive education and business experience.
Senior Gaming Business Analyst
Blazesoft —Concord, ON
Bachelor’s degree in Statistics, Math, Engineering, Economics, or another quantitative field. Senior Gaming Business Analyst is a critical position driving data…
Main Responsibilities:
Data Analysis – Analyze large datasets to understand gaming operations, player behaviour, and revenue streams and inform strategic and operational decisions.
Product Development Support – Provide recommendations based on the game data to enhance product features, economies, and future developments.
Performance Monitoring – Design and create automated dashboards and reports for key business metrics and insights to assess the effectiveness of gaming products/features/events, marketing campaigns, and revenue-generating initiatives.
Financial Analysis – Evaluating financial performance, forecasting revenue projections, and identifying areas for cost optimization or revenue growth
Provide technical and architectural guidelines for the optimal data structuring within the organization.
Requirements
5+ years in similar analytical roles in the social casino/iGaming industry.
Proficient in SQL and experience with complex data queries.
Proficient in PowerBI and experience building dashboards and working with sematic models.
Excellent communication skills, with the ability to simplify complex data into actionable insights.
Passion for the social gaming industry and an adaptable attitude.
Personal values – Proactiveness, assertiveness, goals and not tasks driven self -management
Bachelor’s degree in Statistics, Math, Engineering, Economics, or another quantitative field.
Senior Research Associate, Evaluation
Ontario Health —Toronto, ON3.3
Your work will directly support program design, policy development, quality improvement, and evidence-based decision-making.
Key Responsibilities:
Lead the design and execution of evaluations using advanced methodologies.
Develop and apply advanced epidemiologic, statistical, and qualitative methodologies.
Design and implement data collection instruments like surveys and interview guides.
Serve as a subject matter expert on evaluation and survey design.
Here is what you will need to be successful:
Completion of a graduate degree (e.g., MPH, MSc, PhD)
A minimum of five years practical experience in performance reporting
Experience with Ontario healthcare databases and datasets is an asset.
Experience with survey design, dissemination and analysis is an asset.
Advanced analytical and interpretive skills. Proficiency with data analysis software (e.g., SAS) is an asset.
Proficiency with Microsoft Office products and survey tools (e.g., REDCap).
Familiarity with cancer screening or the cancer system in Ontario is an asset.
Manager, Data & Analytics
Element Fleet Management —Mississauga, ON3.2
Bachelor’s degree in Data Science, Computer Science, Statistics, or related field (Master’s preferred). Oversee the development of advanced analytics solutions,…
$111,100–$152,800 a year
A Day in the Life
Lead the delivery of technical solutions for enterprise data collection and analytics projects
Build and manage a blended team of internal analytics professionals and vendor partners, Collaborate with business units to translate strategic priorities into analytics use cases that drive value and improve fleet and customer outcomes.
Oversee the development of advanced analytics solutions, including predictive models and machine learning algorithms.
Engage with internal and external stakeholders to align analytics initiatives with business needs and emerging technologies.
Requirements
Bachelor’s degree or related field (Master’s preferred).
7+ years in analytics leadership roles with a track record of success in a hub-and-spoke model.
Proficient in analytics techniques including predictive modeling, generative and agentic AI, and optimization.
Experience with visualization tools (e.g., Power BI, Tableau) and advanced analytics platforms (e.g., Python, R, SAS).
Familiarity with cloud platforms such as AWS, Azure, or GCP and modern data architectures.
Knowledge of fleet management, telematics, and IoT data preferred.
数据分析专题文章
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
Data Analysis-Comparison analysis
2024年10月31日
