张老师每周JD精选

(1)https://www.workopolis.com/search?q=sas&l=canada&s=d&job=h7U9V_vJVNXM24Dh8rBHecXyx8hOppDzGTYZ9DWOWQZoqaj951sK3IMBysPpHZpK

Decision Scientist, Mental Health and Addictions Centre of Excellence (MHA CoE)

Ontario Health —Toronto, ON3.3 

Experience in statistical modelling or advanced analytics (e.g., regression analysis, survival analysis, cluster analysis, longitudinal analysis, principal…

External Application Deadline Date: July 10, 2025

Here is what you will be doing:

Advanced Analytics: Utilize your expertise in advanced statistical modeling, predictive modeling, demand forecasting, and statistical inference to guide strategic planning.

Innovative Projects: Design and execute data analyses and modeling tasks to identify key issues, 

Lead the design and implementation of high-quality data analyses and modeling.

Develop models and tools to inform planning decisions based on various inputs such as travel distance, provider volumes, and forecast demand.

Education and Experience

Master’s degree (PhD preferred) 

Minimum five years work experience or combination of work/education experience in quantitative epidemiological or health services research analyses

Experience coding in programming/statistical languages of SAS,SQL, R, and Python is required. Experience in geospatial mapping and analysis.

Experience with national and provincial healthcare administrative and clinical datasets including DAD, NACRS , NRS, CCRS, OHIP, clinical registries, and RPDB.

Experience in statistical modelling or advanced analytics (e.g., regression analysis, survival analysis, cluster analysis, longitudinal analysis, principal component analysis, and factor analysis).

Demonstrated experience leading large, complex initiatives, ideally at the provincial level in health system planning and allocation.

Ability to interpret measures of effect (e.g., odds ratios, hazard ratios, risk ratios, etc.) in the appropriate context and to inform actionable insights.2

Sr. Data Scientist, Real-World Analytics

(2)https://www.workopolis.com/search?q=sas&l=canada&s=d&job=OpLiBV8R15IGdZDINZIZ3f1uawVGfPvmgXEr91WLAta8ggx2ChHVld3p5kDkQaYS

Sr. Data Scientist, Real-World Analytics

McKesson Corporation —Mississauga, ON3.5 

An advanced degree (MA/MS, PhD, ScD, etc.) in a quantitative field such as statistics, biostatistics, econometrics, data science, biomedical informatics, health…

$89,700–$149,500 a year

Post Date Jun. 20, 2025

You will communicate the following outcomes research support activities:

Develop Statistical Analysis Plans (SAPs) and/or table shells as part of study protocol development

Explore the suitability of datasets (internal or external) for addressing outcomes research questions

Assist in RWE analytics activities, including writing detailed documentation, reviewing, running, and validating analyses in SAS, R, and/or SQL

Propose methodologies, data sources, and process improvements, leveraging your understanding of the RWD ecosystem and your machine learning and statistical expertise.

Data Analysis: Analyze and interpret large RWD databases

Minimum Qualifications

An advanced degree (MA/MS, PhD, ScD, etc.), or similar fields with at least 2 years of relevant data science and programming experience.

A minimum of two years of hands-on professional data science experience in RWE analytics, including writing, reviewing, running, and validating conventional and advanced programs, and generating analytic files through SAS, R, or SQL. Knowledge of Python programming is a plus

Broad and in-depth experience with RWD such as claims, EMR, pharmacy, patient registry, etc. to generate RWE.

Experience in identifying research cohorts using various classification codes such as ICD-9-CM, ICD-10-CM, SNOMED, LOINC, NDC, HCPCS, CPT, etc.

Foundational understanding of statistical terminology, concepts, and techniques used in descriptive and multivariate analysis.

Familiarity with machine learning algorithms (e.g., supervised, unsupervised learning, deep neural networks, transfer learning) and ‘Big Data’ technologies, and NLP/LLM methods.3

Senior Risk and Reporting Analyst

(3)https://www.workopolis.com/search?q=sas&l=canada&s=d&job=JcBPOFF0pBIX0oDihRunrwZEHrjFS-9_lZw-dfkrHQsxIG9kkZ6iN1gYut-DeSt7

Senior Risk and Reporting Analyst

DUCA Financial Services Credit Union Ltd. —Toronto, ON4 

Conduct advanced portfolio analysis and make recommendations to enhance and implement credit portfolio strategies for key stakeholders, including the Chief Risk…

From $69,956 a year

Job Purpose & Summary

The Senior Risk and Reporting Analyst is responsible for delivering high-quality data analytics, credit portfolio reporting, and risk insights across both retail and commercial lending portfolios. This role supports strategic decision making by analyzing portfolio trends, identifying emerging risks, and ensuring compliance with internal policies and regulatory requirements. The analyst will work closely with Risk, Finance and IT teams to enhance data quality, risk models, and reporting frameworks. Conduct advanced portfolio analysis and make recommendations to enhance and implement credit portfolio strategies for key stakeholders, including the Chief Risk Officer (CRO).

Maintain and improve all Retail and Commercial dashboards for portfolio monitoring.

Maintain and enhance robust data validation routines to ensure data completeness and accuracy

Collaborate with internal and external partners to improve the structure, governance, and automation of risk data.

Update and maintain all required monthly and quarterly internal and external reporting for Retail and Commercial Credit. This includes FSRA’s Quarterly and Monthly risk and regulatory report deliverables, in addition to the FSRA Enhanced Data Capture (EDC).

Implement and maintain Teranet House Price Index (HPI) data into DUCA data warehouse and produce effective data analytics.

Analyze portfolio performance metrics such as delinquency, default, loss rates, PD, LGD, EAD.

Occupational Experience & Education Requirements

Undergraduate or above degree in Business, Statistics, Economics or Finance

2-3+ years’ experience in a Reporting or Business Analyst position in a financial institution

Underwriting / adjudicating experience an asset

Advanced VBA, Power Query programming skills with working experience in visualization and analytics tools such as Power BI, Tableau, etc.

Experience querying large, complex, and varied data sources by using SQL or python considered an asset

Experience in data sourcing, manipulation, and transformation

Highly proficient with Microsoft Excel (formulas, pivot table), PowerPoint, and Word

Knowledge of Visual Basic for Applications (VBA), fluency with macros and/ or other automation tools

Proficiency in visualization and analytics programs like Power BI, Python, SAS, Tableau is an asset4

Enterprise Data Integration Developer

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Enterprise Data Integration Developer- Data Engineer

THE EMPIRE LIFE INS. CO —Remote3.3 

A cash employee referral program. Develop and maintain expertise in leading data warehouse/business intelligence strategies, trends and technologies within and…

$65,800–$123,000 a year

What you’ll be working on

The Logical Data Warehouse will accept and make accessible internally and externally sourced high-quality, authoritative, structured and unstructured data 

Develop an understanding of enterprise and Business Unit near, medium, and long term data and business intelligence needs

Contribute to the selection and implementation of logical data warehousing technologies required to support the achievement of the target logical data warehouse architecture

Design, develop, test moderately complex to complex ETL processes sourcing data from a variety of internal and external systems

Work closely with the Information Relationship Managers to understand business unit requirements, and assist in their documentation

All other duties as assigned

What we’re looking for you to have

5+ years of IT experience with data solutions, including; data warehousing, data lake, data modeling, and data analysis. Data migration from on-premise relational database to cloud i.e. Snowflake would be an asset

Completion of a university degree

Strong knowledge of statistical methods applicable to financial services. Ex: classification, linear regression, clustering

Strong knowledge of database concepts including normalization and data profiling; and the ability to write SQL and understand entity relationship and dimensional model diagrams

Knowledge of API and microservices architecture

Hands on experience with collaboration tools with Attlassan suite (Confluence, JIRA, JIRA Service Manager) being the preference

Hands-on experience with ER Studio or other data modeling tools

Hands on experience with a data cataloging tool such as Alation

Hands-on experience with enterprise reporting and analysis tools (e.g. Power BI (preference), Spotfire, MS Analysis Services, Tableau, etc.)

Hands-on experience with statistical analysis tools (e.g. SAS Data Miner, R, Orange Data Mining, etc.)

Hands-on experience with programming languages (e.g. Python, Java, etc.)5

Senior Research Data Coordinator

(5)https://www.workopolis.com/search?q=sas&l=canada&s=d&job=aAuc1WZjOsgHkBd6RJ3seu6xs44aV-W6DQFPctmchKq_0l5x9pQI8PxwfbbF_pPm

Senior Research Data Coordinator, Paediatrics

The University of Calgary —Calgary, AB4.1 

Implementing processes to gather information and participates in data analysis to develop recommendations for improvement and act on the recommendations in

Application Deadline: July 4, 2025

Summary of Key Responsibilities (job functions include but are not limited to):

Implementing processes to gather information and participates in data analysis . Monitors and reports progress, as required, toward achievement of performance indicators and collaborates to analyze trends 

Create new databases while ensuring quality assurance of all data collected by the SPRINT-KIDS program

Data and query management, data QA, and statistical analysis for publications and reports

Maintain, and manage REDCap databases to house all program data

Export, sort, extract and repackage extracted data into a variety of formats as required

Develop reporting strategy and accompanying data reports

Qualifications / Requirements:

BSc 

Proficient use of a statistical package (e.g., R, SPSS, STATA, SAS) is required

Project Management certification is considered an asset

Minimum of 3-5 years of experience working with large datasets, reporting, and performing data management

Familiarity with epidemiological principles and clinical data extraction an asset

Extensive experience with data management and working with and building largescale databases

Experience building and working with REDCap

Knowledge of electronic medical record systems (e.g., Epic) and familiarity with clinical data extraction considered an asset

Knowledge and experience with database or data collection systems. Proficiency in Microsoft Office programs6

Consultant, Automation & Analytics

(6)https://www.workopolis.com/search?q=sas&l=canada&s=d&job=d1rR2h0NEEjQkDshWI4uqwL5KfFR0dbyyXx_J48PZgxI9RBrEENDWYG439biZKux

Consultant, Automation & Analytics

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…

What You’ll Be Doing

The Operations, Transformation and Automation is building and supporting instrumentation, analytics, automation, reporting and capacity management capabilities. We are committed to streamlining our processes through simplification and automation to improve our operations and better serve our partners and clients. The Consultant, Automation & Analytics is responsible for developing solutions leveraging self-serve tools such as Power Apps, Power Automate, VBA Alteryx, Azure DevOps & Tableau to address business problems. 

Understand the business requirements and translate them into system and application design 

Who You Are

You can demonstrate 3-5+ years experience in designing, developing, implementing and supporting applications with expertise in most of the following: No/Low Code Tools (VBA, Alteryx, Power Automate, Power App), Analytics Software (Tableau, Power BI), Databases (SAS, Oracle, SQL Server), Cloud (Azure, AWS), ETL (Informatica, SSIS), and Tools (Tools: source control/issue management: Git, TFS, JIRA, Azure DevOps, Selenium).

You have a degree/diploma: Bachelor’s degree or equivalent in Computer Science or Technical discipline. MBA or Master degree with specialization on Advanced Analytics, ML or AI is considered a plus. PMP and Lean 6 Sigma certification are good to have.7

Corporate Analyst

(7)https://www.workopolis.com/search?q=sas&l=canada&s=d&job=IBNhFFaFonvXUHKF8g7njC4NlW-KvcSJaKm26hvGOuGTWWdpHwTAOGHUDLlQELUo

Corporate Analyst

GM Financial —Toronto, ON3.6 

Advanced analytical abilities to evaluate complex data, identify trends, and contextualize findings to make informed recommendations to senior leadership.

What you will be doing:

Perform data mining using SQL, SAS, Cognos, Salesforce, and/or Excel via Enterprise Data Warehouse and Azure Cloud

Develop and maintain dashboards and visualizations to track Key Performance Indicators

Analyze operational and performance metrics to identify process inefficiencies, optimize workflows, and enhance productivity

Act as point person for data-related requests with internal departments, GMF Texas, and GM Oshawa

Ensure compliance with corporate policies and regulatory requirements

What makes you a dream candidate?

Advanced analytical abilities to evaluate complex data, identify trends, and contextualize findings 

Adaptability to work in a dynamic environment with changing priorities and evolving business requirements.

Fluency in Microsoft Excel, Power BI, PowerPoint, statistical software

High level of accuracy and attention to detail

Ability to multitask and meet tight deadlines

Experience:

2 years of experience in a similar role

Experience in data analysis, data mining, statistic, and forecasting and loan portfolio analysis

Automotive Finance, Data Reporting and Analytics, Leasing or Retail Finance experience preferred

Experience with Cognos, SAS, Salesforce and Excel dashboards preferred

Post-secondary degree or diploma required.8

Manager, Analysis

(8)https://www.workopolis.com/search?q=sas&l=canada&s=d&job=lK7FDYfnbIMFjfzNtPG5GNAO5oYBFYc-peNEpusmxTHzEbCYIitBQjuYR6kmdMAa

Manager, Analysis

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.

$68,000–$126,000 a year

Key Accountabilities

Develop credit limit & pricing strategies to drive revenue and customer satisfaction 

Develop business cases that drive incremental revenue and minimize risk and obtain buy-in and support from business partners as required.

Develop annual plans and monitor existing strategies to ensure that the estimated benefits are being realized.

Evolve from Product focused to Customer focused to ensure that overall customer experience is delivered.

Extract, manipulate and analyze data from a variety of sources 

Provide consultation to business partners to identify opportunities to maximize net revenue 

Partner effectively across all business functions including: Technology & Operations, Channels, Credit Cards, Risk, etc. in order to ensure ongoing alignment of priorities

Knowledge & Skills

The successful candidate will hold a university degree in an analytical discipline such as Statistics, Mathematics, Economics, Operations Research or Engineering, with experience in database marketing analytics, preferably in credit cards, retail and commercial banking.

Expert knowledge of SAS, SQL or equivalent and familiarity working in a FICO environment as well as analytical research and experience working with large datasets.

Skilled Knowledge: Analytical Thinking; Data Mining; Data Modeling; Problem Solving.

Technical experience working in analytical software, and business software (PowerBI, Excel, PowerPoint, Word)

Python skill is an asset

Machine learning experience is an asset9

Business Analyst II

(9)https://www.workopolis.com/search?q=sas&l=canada&s=d&job=BoggyIhc0hpLjkRZUz64T1wzsF7E6XZlWxgGA032H5jXIb9TluUmrLB_0LNdS1HW

Business Analyst II

TELUS Digital – —Vancouver, BC3.5 

Responsibilities:

Starting with often only a vague outline of a business problem, drive analysis and requirements elaboration, working with internal stakeholders, and many different external stakeholders, including global Finance, Sales, Product & Marketing, Operations, HR and IT departments

Transforming business needs into high-quality billing processes

Managing the impact of changes to the billing lifecycle for the services & products

Onboarding contracts, offboarding, stop-sell facilitation

Partnering with the Taxation team to resolve questions pertaining to billing

Transformation and continuous improvement of billing processes

Revenue assurance support (process mapping, facilitation, coordination)

First point of contact for internal billing inquiries across the value chain

Initiating billing in line with product/service readiness by client

Collaborating with the PMO, Billing, Finance, Product management, Operations, and Systems Applications teams to resolve billing process issues

Revising/Updating/Creating Documentation as necessary

What you bring:

3+ years of expertise in a Business Analyst or a comparable analytical type of business role

1+ years in Finance, Product Development, Operations

3 to 5 years of experience in Business Analysis & project management

Competency in Google Suite

Salesforce, Zuora Billing, Zuora Revenue, Certinia, DigitalRoute, Workday or SAP experience an asset

International Institute of Business Analysis (IIBA) certification an asset

Familiarity with BI analytics tools (Data Google Studio, Looker, BigQuery, SiSense, Tableau, Alteryx, SAS, etc.)

Process Mapping and Journey Mapping experience an asset10Inventory Coordinator

(10)https://www.workopolis.com/search?q=sas&l=canada&s=d&job=qi11XEYMXETuwgV_wxMsMoEtutkd8pq3CxldCxkAb-_e-n0yUzl4mSetpEh3swEX

Inventory Coordinator, Reporting, Bell Mobility

Bell —Mississauga, ON3.7 

To succeed in this role, you will need to work as a team to keep our supply chain ahead of the curve by developing keen and sound analysis and create actionable…

Application Deadline: 07/04/2025

Key Responsibilities

Provide timely, insightful and eloquent reporting and analysis on inventory

Report ad hoc / daily / weekly / monthly KPI’s within a time sensitive environment

Develop standardized reporting for the business units using up-to date visualization tools

Transfers report findings into meaningful power point presentations and presents to senior executives

Automate data processing, reporting, and analytical workflows using SQL, SAS and Python to improve efficiency and decision-making

Assist in the continuous improvement and optimization of all analytics processes

Critical Qualifications

Bachelor Degree 

1 to 3 years experience in data analytics and/or Telecom/Technology products industry

Proven ability in quantitative analysis, data manipulation and data visualization techniques and tools

Strong business acumen, ability to interpret business requirements and create valuable business analytics

Highly motivated, driven by success and desire to work in a challenging environment

Excellent oral and written communication skills, with strong interpersonal skills

Availability to work some evenings and weekends as required during key sales periods

Proficiency in SQL, SAS, Python, Microsoft Excel and SAP

Familiarity with version control systems – GIT.