Python for Office Automation
2025年6月17日
2025-05-31 Selected Jobs
2025-05-31 Selected Jobs
Business Analyst
Zenith System Solutions Inc.
Toronto, ON
Support testing strategies (e.g., A/B testing) and post-campaign analysis to drive continuous improvement. Deploy campaigns in SAS Direct as per campaign design…
$40–$45 an hour
Full job description
Deploy campaigns in SAS Direct as per campaign design specifications.
Maintain and enhance existing SAS Direct campaign configurations and ensure timely campaign execution.
Maintain and enhance SAS RTDM (Real-Time Decision Manager) workflows for decisioning logic and customer treatment strategies.
Plan, execute, and monitor marketing campaigns across multiple channels, ensuring timely delivery and alignment with business goals.
Analyze campaign performance using data analytics tools and techniques, providing actionable insights and recommendations to optimize targeting, messaging, and ROI.
Collaborate with marketing, CRM, and analytics teams to define audience segments, campaign KPIs, and reporting requirements.
Develop and automate dashboards and reports to track campaign effectiveness, customer engagement, and conversion metrics.
Support testing strategies (e.g., A/B testing) and post-campaign analysis to drive continuous improvement.
Sr. Financial Analyst, Finance Insights and Technology Engagement (FITE)
Loblaw Companies Limited —Brampton, ON3.4
University degree or post-secondary education in Finance, Business, Math/Statistics, Analytics or other relevant field.
Responsibilities:
Engage with key stakeholders/teams in Finance to ensure their reporting needs are fulfilled.
Evaluate new data sources and help define more effective ways to communicate data
Summarize vast amounts of data to develop reports and models that solve business problems.
Build powerful business intelligence visualizations/insights using a variety of tools such as MicroStrategy, Power Platform, Excel, and others.
Create/maintain comprehensive and accurate documentation to ensure retention of institutional memory.
Role Requirements:
Minimum 2 years related work experience in similar role.
University degree or post-secondary education
Advanced skills in Microsoft Office applications (Excel, Access, PowerPoint).
Working knowledge of BI Tools such as MicroStrategy, Power BI, Tableau, etc.
Working knowledge of database applications Teradata, MS SQL Server would be an asset.
Previous experience with SAP system preferred.
Experience with and/or exposure to Application Tools such as SAS, Python, R, etc. would be an asset.
Data Analytics Investigator, Digital Forensic Services
Scotiabank —Toronto, ON3.9
Possess working knowledge of the Bank’s financial banking systems, data warehouses, logs, policies and procedures, and money laundering techniques, together…
Is this role right for you? In this role you will:
Assist with the design and implementation of the overall enterprise insider threat program, user behavioral analytics and future data modelling and analytics initiatives in support of investigations, criminal activity and risk mitigation.
Contribute to the design of complex predictive models and pattern detection algorithms in Splunk to detect suspicious digital fraud alerts and user behavioral activities.
Contribute to the support and maintenance of the Banks’ enterprise insider threat intelligence program, and Corporate Security’s digital fraud investigation mechanisms by updating or creating new Splunk data models, rules, alerts, and/or dashboards to provide relative real time actionable intelligence.
Establish and maintain effective dialogue with internal technology and business partners to identify opportunities for new initiatives, development, and risk mitigation.
Do you have the skills that will enable you to succeed in this role? – We’d love to work with you if you have:
Post-secondary degree and/or 2+ year similar hands-on work experience preferred.
Solid working experience in an analytical role, using expert Splunk SPL query language to create dashboards, algorithms, rules, and/or alerts, preferably in the context of user behavioral analytics and digital fraud analysis.
Demonstrated ability working with analytical and computing tools, such as like Splunk, Microsoft Power BI, SAS, Java, R, Python, Hadoop, HIVE, Spark, etc.
Knowledge of industry trends regarding fraud and experience in fraud detection and prevention is an asset.
Data Analyst
Tri-global —Edmonton, AB
Collaborate with Technology and Innovation (TI) program areas to investigate program needs, understand contract requirements, and support the achievement of…
Up to $70 an hour
The duties for the role include, but are not limited to:
Implement, develop, and share service metrics and service performance dashboards of IT projects in relation to spend, progress and risk level or projects.
Inform project team and leadership about current data trends and performance, and recommend performance metrics to support program delivery and monitoring.
Research best practices and makes recommendations for the direction of data-driven governance policies to support the adoption of digital services and delivery of services.
Develop comprehensive contract inventory and conduct spend analysis to support financial planning and decision-making.
Prepare contract-level budget justifications and develop optimized contractual spend plans aligned with program objectives.
Support grants management through data collection and analysis, aiding in compliance and performance reporting.
Core Requirements:
•Bachelor’s degree in data science, Statistics, Computer Science, Finance, or a related field.
•3+ years of experience in data analysis, preferably supporting finance or procurement processes.
•Experience with data extraction, cleansing, and preparing data sets related to contracts, spending, and budgeting.
•Proficiency in data analysis/visualization tools (Excel, Power BI, Tableau) and working knowledge of SQL or other database tools.
– Experience creating data visualizations, dashboards, and other information products for clients using BI/analytics software, including any or all: SAS Visual Analytics, SAS Visual Investigator, MS Power BI, Tableau, Looker, R, Python. 2 years+)
Experience using Microsoft Office Suite tools. 3 years+)
Direct, hands-on experience performing business requirement analysis related to data manipulation/transformation, cleansing and wrangling. (3 years+)
– Experience and technical knowledge of Microsoft SQL Server. (2 years+)
– Experience with government planning and budgeting processes and procedures. (3 years+)
Senior Analyst, Control Optimization & Analytics
CIBC —Toronto, ON3.7
The role applies comprehensive knowledge and skills to analyze data to support the design, implementation and evaluation of new segmentation strategies, monitor…
Full job description
As a member of CIBC’s team, the Senior Analyst, Control Optimization & Analytics will be responsible for providing analytical support such as analyzing trends and evaluating strategies to facilitate sound business decisions, along with regular support on data mining, reporting and strategic analytics. The role applies comprehensive knowledge and skills to analyze data to support the design, implementation and evaluation of new segmentation strategies, monitor strategy performance, and recommend improvements based on results of the analysis. The Senior Analyst, Control Optimization & Analytics exercises independent judgement within defined procedures, documenting accurate business requirements that clearly represent the client’s business needs. Working with limited direction, the role independently designs and performs moderate to complex statistical analyses using advanced analytical techniques and data mining tools.
Who you are
You can demonstrate experience. 2+ years of experience in data analytics. Proficiency with programming languages and have experience using modern big data, analytical and dashboard tools (i.e. Python, R, SQL, Tableau, SAS).
You have a degree. In a quantitative field (i.e. mathematics, statistics, computer science, economics, engineering, physics, business) or equivalent experience. Advanced degree is an asset (i.e. MMA, MBAN, MSc, MA, MBA).
SCM Business Analyst(Supply Chain Management )
The City of Vancouver —Vancouver, BC3.8
The incumbent will also define and support the analytics required for development and implementation of the category strategies through the analysis of relevant…
$97,032–$121,294 a year
Full job description
The primary focus of this role is to provide senior management with objective and comprehensive business and process analysis of the Supply Chain Management’s processes, systems, staffing, and to provide recommendations based on the analysis performed with a view to continuously improving business operations.
The successful candidate will play a key role in supporting the Supply Chain Management department in the development of models and tools to measure departmental efficiency and value creation within the organization. The candidate will develop methodology and supporting analytical tools which will provide data and visibility into enterprise spend. The incumbent will also define and support the analytics required for development and implementation of the category strategies through the analysis of relevant business data within the Category Management function as well as the creation and analysis of information required to support the departmental operations.
The Analyst has access to confidential information and makes recommendations for changes in methods, processes and procedures that may impact operational areas as well as budgets and salaries, staffing workloads, working conditions, changes in positions or staffing levels.
Conduct product/process fit/gap analysis and develop strategies
Develop cost-savings capture, validation and reporting model.
Develop spend analysis methodology and tools which will assist in identification, gathering and analysis of various spend data as it applies to Category Sourcing.
Qualifications
Undergraduate degree in Finance, Supply Chain, Business Management or Accounting:
Five years of experience in:
Spend analysis process;
Business process and analysis;
Cost modelling;
Data gathering, cleansing and reporting
Metrics and scorecard development;
Benchmarking and Performance Management;
Market research;
The strategic sourcing process while using techniques required to identify and collect supporting research.
Experience with data management and analytics tools
Experience in using supply chain tools such as Porters Five Forces, PESTLE, and Purchase Price Cost Analysis;
Very good knowledge of MS Office suite (Word, Excel, Access and PowerPoint);
Experience with Business Intelligence (BI) solutions (i.e. SAP Business Objects, Cognos, Tableau, Hyperion, Power BI etc.) and Statistical Analysis applications (i.e. Minitab, SAS, etc).
Senior Analyst, Wealth Data Foundations
BMO Financial Group —Toronto, ON3.7
A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.
$54,500–$101,500 a year
Full job description
Design, develop, and maintain foundational datasets that support wealth BI, reporting, analytics and machine learning.
Build data pipelines and transformation logic using SQL and AWS tools(e.g, Glue, S3)
Support data quality initiatives by profiling and validating data across systems.
Participate in data governance practices by contributing to metadata, data lineage, and definitions
Leverage SAS to support legacy analytics processes where needed.
Ensure implementation of CDAO’s data strategy
Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them.
Designs and produces regular and ad-hoc reports, and dashboards.
Qualifications:
Bachelor’s degree in Computer Science, Information Systems, Data Science, Statistics or a related field.
3 years of experience in a data focused role.(Strong Internships & Co-oop time can also be considered)
Foundational level of proficiency:
Data mining.
Data visualization.
Data storytelling.
Familiarity with AWS data services (Glue, S3 etc) or similar cloud platforms
BI/reporting tools like power BI , Quick Sight is a Plus
Proficient in SQL and comfortable working with large, complex datasets
Knowledge and experience in data preparation, data analysis, and statistical tool sets
Technical proficiency gained through education and/or business experience.
Health Analyst
Public Health Ontario —Toronto, ON3.7
Knowledge of stakeholder groups, building public health, research, academic, institutional, and professional networks, and working at local, provincial/…
$67,932–$95,107 a year
Posting Date: 05-29-2025
Key Responsibilities-
Analyzes, interprets and develops reports of health data using appropriate methods in response to inquiries from Digital and Data Portfolio colleagues and PHO staff.
Conducts the routine analysis of large data sets for the interpretation and production of basic population health assessment and surveillance reports.
Prepares and disseminates health status and surveillance information in various formats including reports, charts, graphs, maps and community health profiles.
Writes and executes computer programs for data extraction, data set creation and analysis using spreadsheets and statistical software packages (e.g., Excel, SAS, R, Python).
Supports the development of legacy system replacement by gathering, analyzing, and profiling related health data.
Completes program and project documentation according to applicable standards and guidelines.
Contributes to the ongoing development of standard operation procedures for data set creation, analysis and reporting.
Knowledge and Skills–
Familiarity with public health information systems such as the Integrated Public Health Information Skilled in the use of data sets, spreadsheets, databases, statistical packages and BI tools such as Cognos, SAS, R, and Python.
Knowledge of population health indicators, epidemiological concepts, public health research, statistical analysis, health analytic methods, and techniques to analyze data, (including trend analysis using any statistical software).
Knowledge of recognized health data and information standards and coding (e.g., SNOMED, ICD)
Understanding of medallion data architecture and cloud-based data curation and quality tooling would be an asset.
Knowledge of stakeholder groups, building public health, research, academic, institutional, and professional networks, and working at local, provincial/territorial, and/or federal levels would be an asset.
Bachelor’s degree
Minimum of two (2) years of experience in the collection, collation, analysis
Works within the parameters of existing protocols for data manipulation, analysis, storage and privacy protection.
Determines the appropriate syntax within statistical programs/software (e.g., Cognos, SAS, R, Python) necessary to develop and undertake queries.
Data Scientist
eHealth Saskatchewan —Regina, SK3.2
Autonomous or semi-autonomous examination of sensitive data or content using sophisticated techniques and tools beyond those of traditional business…
$45.73–$55.64 an hour
Closing Date: Jun 5, 2025, 12:59:00 AM
Typical Daily Duties:
Creation and maintenance of statistical or behavioral models representing past, present and future scenarios based on customer/business definitions and interactions incorporating descriptive, exploratory, inferential, causal, mechanistic, prescriptive, and predictive analytics
Autonomous or semi-autonomous examination of sensitive data or content using sophisticated techniques and tools beyond those of traditional business intelligence to discover deeper insights, make predictions, or generate recommendations; for example, machine learning, pattern matching, forecasting, semantic/sentiment analysis, network and cluster analysis, multivariate statistics, simulation/optimization, complex event processing, or neural networks.
Stay updated on emerging trends in AI, data science, and healthcare analytics.
What are we looking for?
The knowledge and skills required for this position would be attained through the completion of a master’s or above degree in data science, statistics, mathematics, computer science or other applied science field. In addition to educational requirements, you will have 4 years of experience working as a Data Scientist/Specialist, or similar role, within an integrated support environment. An equivalent combination of education and experience may be considered. Additional skills include:
Experience with database modeling/schema design including star and snowflake schemas
Experience with requirements analysis and solution design techniques
Experience with analytical tools and software (R, Python, SAS, etc)
Experience with statistical and analytical modeling including machine
Analyst, Marketing Data Valorization
Desjardins —Montréal, QC3.8
Bachelor’s degree in a related field. Secure targeting and performance measurement operations for relationship marketing, digital campaigns and marketing…
Full job description
The Marketing Automation and Performance Measurement Department is responsible for executing, securing and automating targeting activities for marketing campaigns and performance measurement. As a Marketing Data Valorization Analyst, you collect and valorize data that comes through different channels. You extract, describe, analyze and interpret the data needed to make informed business decisions. You serve as a data use specialist advisor for practitioners, as well as a resource person for the marketing teams. You interact with many parties involved to understand and communicate issues and influence decision-making. More specifically, you will be required to:
What you bring to the table
Bachelor’s degree in a related field; A minimum of two years of relevant experience in data valorization
Please note that other combinations of qualifications and relevant experience may be considered
Knowledge of French is required; Proficiency with database structures
Proficiency with SAS or SQL; Proficiency in resolving data extraction and valorization issues
Proficiency in writing documentation; Proficiency with a data visualization tool
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