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2024年10月31日
2025-05-12 Job Description
2025-05-12 Job Description
Business Insights Analyst I
TD Bank —Toronto, ON3.8
Undergraduate or graduate degree in a technical discipline (e.g., analytics, math, physics, engineering, finance or computer science).
$65,600–$98,400 a year
Job Responsibilities:
Professional role providing automation solutions and analytical support to improve audit process
Interpret requests in order to efficiently solve problems with data analytics.
Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques.
Act as a brand ambassador for your business area/function and the bank, both internally and/or externally
Job Requirements:
Minimum 0-2 years of related experience.
Undergraduate or graduate degree in a technical discipline (e.g., analytics, math, physics, engineering, finance or computer science).
Experience with Python, Power BI, Power Apps, Power Automate and Tableau.
Other tools such as SAS, SQL, VBA, and Alteryx would be beneficial.
Senior Research Assistant, Environmental Influences on Water Quality
University of Winnipeg —Winnipeg, MB4.3
They will also help in designing and conducing laboratory and field research, laboratory analysis of soil and water samples for various parameters, installing…
Duties:
Perform academic research in the laboratory and in field.
Help in field sampling of soil and water
Prepare reagents and standards needed for analysis of soil and water samples
Help with installing new laboratory equipment and maintenance.
Enter the data, do the required calculations, analyze and interpret the data.
Help in maintaining a record of supplies being used and help in acquisition of supplies.
Update safety sheets in the laboratory, and maintain the inventory.
Help in preparing presentations and journal articles.
Qualifications:
MSc in Environmental and Social Change with a specialization in soil science or biogeochemistry.
Experience in soil sampling in field/ runoff water sampling.
Experience in soil and water analysis for nutrients/ metals/antimicrobials.
Operation of spectrophotometer/AAS/ pH meter/ Ion chromatography, HPLC-MS.
Experience in using statistical software (SAS, R).
Manager – Audit, Financial Compliance (IT)
Intact —Montréal, QC3.6
Leadership and Team Development: Supervise and mentor the audit team, provide training and development opportunities, evaluate their performance and provide…
The Key Responsibilities:
Leadership and Team Development: Supervise and mentor the audit team, provide training and development opportunities, evaluate their performance and provide feedback.
Strategic Planning and Coordination: Determine the audit scope and develop the audit schedule.
Ensure Compliance: Stay informed of changes in laws, regulations, and best practices to ensure the organization’s compliance.
Evaluation and Reporting: Analyze audit findings and identify areas for improvement. Prepare detailed audit reports and present findings to management and stakeholders. Recommend corrective actions and improvements to internal controls.
Your Skills and Experience:
Relevant Experience: 8 to 10 years of experience in IT and Financial Compliance audits in a Big Four or the Industry.
Technical Skills: Extensive understanding of NI52-109 and/or Sox, IT General Controls (ITGC), auditing standards and procedures, accounting principles and financial reporting standards.
Data Analytics: Knowledge of data analytics and visualization tools such as PowerBI, DAX, SQL, SAS, Python and Excel. Ability to interpret complex data sets to identify trends, anomalies, and insights.
Senior Statistical Programmer (Remote – Canada)
Kutir Corporation —Remote
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Life Sciences, or a related field. Employment Type:* Contract to Hire.
$50–$65 an hour
Key Responsibilities:
Develop, validate, and maintain SDTM and ADaM datasets in compliance with CDISC standards.
Program and validate Tables, Listings, and Figures (TLFs) for clinical trial submissions and reports.
Prepare and review study-level documentation including SDRG, ADRG, Define.xml, and Pinnacle 21 reports.
Work cross-functionally with statisticians, data managers, and medical writers to support clinical study objectives.
Provide programming support for oncology trials, with a focus on ADTTE derivations and efficacy/safety TLFs.
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Life Sciences,
Minimum 5 years of experience in statistical programming within the pharmaceutical or CRO industry.
Strong knowledge and hands-on experience with CDISC standards (SDTM, ADaM).
Proven experience with oncology studies, particularly ADTTE and oncology-specific TLFs.
Proficiency in SAS programming (Base, Macro, SQL, and/or Graph).
Familiarity with regulatory submission standards and tools (e.g., Pinnacle 21, Define.xml creation).
Analyst Digital Platform (12-month contract)
Vancouver City Savings Credit Union —Vancouver, BC4.3
Inform and engage stakeholders as required on product development so that communication is current, complete, and timely and to manage risks during development…
$64,500–$96,500 a year
A typical day would involve:
Reviewing current backlog items, prioritizing the pipeline,
Employing analytical and problem-solving skills to reported issues and work requests related to the Core Banking System that supports Vancity’s Financial Products and Services as well as our back-end payments, financial and accounting processes.
Identify, analyze and interpret patterns and trends in complex data sets to diagnose data quality and integrity issues and properly assess financial impact/risks to the customers and the organization.
Inform and engage stakeholders as required on product development so that communication is current, complete, and timely and to manage risks during development with clear direction from IT leaders.
Review and assess system capabilities and translate complex business requirements into technology specifications to inform the development or configuration of new applications and/or systems.
You have:
Bachelor’s degree in Computer Science, Software Engineering, Information Technology or related field.
Min of 1 year experience as a Business Analyst, Systems Analyst, Data Analyst or similar role.
Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analyzing.
Proven working experience in data analysis and adept in writing SQL queries.
Experience in Finance and Accounting Systems (Assets and Liabilities Management, P&L Reporting, Income Tax Reporting, Accounts Payable, etc.)
Knowledgeable in financial services and regulations (OSFI, FINTRAC, PCI, IFRS, BCFSA).
Knowledge of various project lifecycle methodologies (waterfall, agile, etc.)
Statistical & Computer Systems Compliance Analyst
Queen’s University —Kingston, ON3
Responsibilities include validation of computer systems originating within the computing team or with other CCTG groups, including risk assessment; interpreting…
KEY RESPONSIBILITIES:
Perform validation of computer systems and preparation of plans and reports, as well as lifecycle documentation.
Interpret guidelines, regulations, standards and CCTG policies to ensure current IT systems, processes and procedures are compliant;
Assist the Group Statistician and the Chief Information Officer (CIO) in preparing for computer system audits and inspections by regulatory agencies and partners.
Maintain inventory of audit/inspection findings related to IT; proactively identify, analyze, and mitigate risks; develop and implement corrective action plans.
Execute other duties as required by the CIO such as acting as liaison between the computing team and internal groups on specific project, as assigned by the CIO.
REQUIRED QUALIFICATIONS:
A university degree in statistics, computer science, management information systems,
Several years (5 minimum) experience in statistical analysis and/or information systems management, preferably in a regulated environment.
Demonstrable knowledge and experience with data analysis and visualization tools (such as SAS, Excel, Tableau, SQL, R, Python) is required.
Database management experience is considered an asset.
Consideration may be given to an equivalent combination of education and experience.
Respects diversity and promotes equity and inclusion in the workplace.
Knowledge of guidelines and regulations related to computer system validation, such as GCP, FDA 21 CRF Part 11 and GDPR.
Senior Data Analyst (Gaming)
BlazeSoft —Vaughan, ON
Bachelor’s degree in Statistics, Math, Engineering, Economics, or another quantitative field. The System Data Analyst will be in a critical position driving…
Main Responsibilities:
Analyze game economies and metrics to understand their interdependencies and drive data-informed decisions.
Develop models to forecast the impact of changes on player behavior, retention, and revenue.
Conduct financial performance evaluations, revenue forecasting, and cost optimization analyses.
Analyze large datasets to uncover actionable trends in player behavior and game performance.
Track key business metrics to assess the effectiveness of gaming products/features/events, marketing campaigns, and revenue-generating initiatives.
Manage and execute hands-on configurations within CRM and other operational systems to support marketing campaigns, player segmentation, and feature rollout.
Requirements
Bachelor’s degree in Statistics, Math, Engineering, Economics, or another quantitative field.
5+ years in similar analytical roles in the social casino/iGaming industry.
Proficient in SQL and experience with complex data queries.
Passion for the social gaming industry and an adaptable attitude.
Personal values – Pro activeness, assertiveness, goals and not tasks driven self -management
Experience with PowerBI
Familiarity with statistical tools and models (R, SAS)
Data Scientist – Fraud Specialist
Equifax —Toronto, ON3.4
You will design, develop, and implement advanced machine learning models specifically for fraud detection, prevention, and investigation across various…
What you will do:
For the first 3-6 months you will learn our data, our technologies, our platform and work on exciting projects to support our advanced analytics team.
You will design, develop, and implement advanced machine learning models specifically for fraud detection, prevention, and investigation across various financial products and services (e.g. credit applications)
You will conduct thorough analysis of large datasets to identify anomalies, patterns,
You will utilize a variety of statistical and machine learning techniques relevant to fraud detection, including classification algorithms (e.g., logistic regression, decision trees, random forests, gradient boosting), anomaly detection methods (e.g., isolation forest, one-class SVM), and network analysis
What experience you will need:
3+ years’ data science experience with expert knowledge of Python, SQL, R or SAS in a large data environment.
3+ years’ experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks
3+ years’ proven hands-on experience designing, building and implementing analytical fraud solutions to solve real world problems
3+ years’ experience building models with the best packages including scikit learn, XGBoost, Tensorflow, PyTorch, Transformers.
Bachelor’s or advanced degree and Master’s level degree in a business-related field/MBA.
Senior Analyst Business Intelligence
Allstate —Markham, ON3.6
Ability to Lead multiple project streams and provide technical direction to BI Analyst on designing solution and automating complex batch processing.
Accountabilities:
Advise business stakeholders on how to measure their business processes and advise on best metrics
Create Power Bi reports and dashboards to identify, analyze, and interpret trends or patterns in complex data sets and provide Insights back to our Partners
Exceptional ability to visually present and communicate data, analyses, and findings
Implement internal data process improvement: automating manual processes, optimizing data delivery, redesign/restructure database for more efficiency
Develop and Optimize SAS/SQL programs to create efficiency on run time.
Extensive knowledge and use of Microsoft SQL Server and all Microsoft services associated with SQL Server (SSIS, SSRS, and SSAS) is a plus but not required.
Qualifications & Experience:
University Degree (Math/Stats/Finance/engineering or similar) preferred
3-5 years of relevant experience is recommended (Marketing, Actuarial or Analytics)
At least 3 years of experience using Base SAS/EG, SAS Macro, SQL, Power Bi
Strong knowledge of Power Bi suite of Products and other visual analytics tools is a must
Identifying new ideas, techniques and opportunities for improving effectiveness, performance and productivity is essential
Sound knowledge of relational database structure
Collaborate with stakeholders to identify needs and opportunities to provide insights on how to better manage their business
Good verbal and written communication skills is a must
Proficient in MS Word, Excel, and PowerPoint Experience with insurance/actuarial data will be considered a plus
Senior Analyst, Home Financing Product & Campaign Analytics
Intelliswift Software, Inc. —Toronto, ON3.8
Supports the development of the strategy and roadmap for data quality and data analytics, reporting, business intelligence, and the design and development of…
$51.72 an hour
Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions.
Supports the development of the strategy and roadmap for data quality and data analytics, reporting, business intelligence, and the design and development of sophisticated decision support tools.
Designs and produces regular and ad-hoc reports, and dashboards.
Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
Cleanses, manipulates, and transforms data through programming / scripting for model training and validation.
Automates validation tests to improve quality and efficiency of the validation process.
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.
Must-Have Skills:
5+ years of relevant data analytics experience
Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to SQL, SAS (certified), R, Python, PowerBI, PowerPoint.
Relevant degree (stats, data, analytics) preferred.
Advanced product knowledge for the designated business / portfolio.
Deep knowledge and technical proficiency gained through extensive education and business experience.
Understanding of measurement techniques (a/b testing, treatment control framework)
Data mining, data storytelling and data visualization
Previous knowledge of home financing, HELOC’s, mortgages (particularly in banking setting) a strong asset
RESL analytics experience would be a definite asset.
Previous banking experience
Post secondary – Business, Economics, Computer Science, Finance
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