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Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** An introduction to data visualization for planning, using computer applications (1 credit course) **Teaching Qualification Requirements:** MSc/PhD degree in Urban Planning Teaching Experience Salary: $3,941.34 Dates: November 6, 2026 to November 27, 2026 - Fridays 1:30 pm to 4:30 pm School of Urban Planning ** _Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located._** **_McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing._** **Hiring Unit:** School of Urban Planning **Course Title:** Data Visualization for Planning **Subject Code:** URBP 611 **Location:** Macdonald Harrington Building **Schedule:** Fridays from 1:30 pm to 4:30 pm **Deadline to Apply:** 2026-06-12 _**McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. 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Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** **Teaching Qualification Requirements:** Master’s Degree in a relevant field (PhD preferred). • PMP designation. • Teaching experience in a university or corporate context. • Extensive*, current and significant professional industry experience in project management. • Applied or academic research experience in the field is an asset. **Additional Notes:** Experience teaching First Nations, Inuit and Metis learners. Expérience d’enseignement auprès d’apprenants des Premières Nations, inuits et métis. [15.02.b] The University may, at its discretion, assign the person of it's choice to give this Course/Teaching. 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Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** McGill’s School of Information Studies Master’s program () is seeking Course Lecturers to teach courses for Fall 2026. **INFS 609 Metadata and Access (3 credits**) _Course Description_ : The course presents fundamental theories and practices of organizing and describing e- resources in libraries, archives, and related fields. It covers prevailing metadata schemes, extensible markup language (XML) and the metadata application profile. It also discusses issues related to the management of metadata schemes in cultural heritage institutions. _Learning Outcomes_ : * To identify the characteristics of metadata as descriptive tools for organizing digital resources. * To recognize various metadata schemes in diverse communities. * To understand the strengths and weaknesses of major metadata schemes. * To enable to develop a metadata application profile in an institutional context. * To recognize the important issues related to metadata management and implementation in institutional settings. Archival descriptive tools in metadata-based access systems. Metadata schemas (MARC, Dublin Core and EAD), markup languages (SGML, HTML, and XML), DTD, vocabulary control, and metadata management issues _._ _Teaching Qualification Requirements:_ The course lecturer should have successfully completed courses in information studies at the graduate level, including the courses on metadata and access. The lecturer must have at least two years’ experience as a professional archivist, preferably in an academic setting. A Master’s degree is required. **Hiring Unit:** School of Information Studies **Course Number:** INFS 609 - Metadata and Access **Credit:** 3 credit course **Schedule:** R, 08:35 am -11:25 am **Location:** EDUC 211 **Salary:** $11,824.00 **INFS 614 Public Libraries (3 credits)** _Course Description_ : A review of the Public Library Movement in English and French Canada. The development of public libraries in North America over the last twenty years with an emphasis on the library's role and responsibilities for the future. The impact of information technologies on the definition and delivery of services. _Teaching Qualification Requirements:_ The course lecturer should have successfully completed courses in librarianship at the graduate level, including the courses in public libraries. The lecturer must have at least two years’ experience as a public librarian. Ideally, the candidate will have had taught a course in public libraries. A Master’s degree in Information Studies (or equivalent) is required. **Hiring Unit:** School of Information Studies **Course Title:** INFS 614 - Public Libraries **Credits:** 3 credit course **Schedule** : R : 05:35 pm-08:25 pm **Location:** EDUC 211 **Salary:** $11,824.00 **INFS 617 Information System Design (3 credits)** _Course Description_ : Introduction to tools for developing information systems. Topics include computer terminology and syntax and semantic of programming languages, with emphasis on their use for text parsing, searching, and database design, which are fundamental concepts in the field of information science. _Teaching Qualification Requirements:_ The course lecturer(s) should have successfully completed Information Studies courses at the graduate level. The candidate(s) will have completed the course (or an equivalent one) and taught graduate courses in Information Studies. The candidate(s) should have at least 3 years of professional experience with information systems, including their design and implementation. A Master’s degree in Information Studies (or equivalent) is required. **Hiring Unit:** School of Information Studies **Course Title:** INFS 617 - Information System Design **Credits:** 3 credit course **Schedule** : F : 02:35 pm-05:25 pm **Location:** ARTS 150 **Salary:** $11,824.00 **INFS 634 Web System Design & Management (3 credits)** _Course description:_ Principles and practices of designing website in the context of libraries and information centres. The course focuses on a conceptual approach to organizing information for the world wide web including design, implementation and management issues. Topics include web development tools, markup languages, internet security and web server administration. _Teaching Qualification Requirements:_ The course lecturer should have successfully completed graduate-level courses in web system design. Ideally, the candidate will have had at least two years of experience as an information professional. A relevant Master’s degree is required. **Hiring Unit:** School of Information Studies **Course Number:** INFS 634 - Web System Design and Management **Credit:** 3 credit course **Schedule:** Tuesday, 5:35 pm - 8:25 pm **Location:** LEA 15 **Salary:** $11,824.00 **INFS 642 Preservation Management (3 credits)** _Course Description_ : Principles and practices for intellectual and physical preservation of historical and cultural heritage materials in all forms to extend their durability and assure continued accessibility, through selection, conservation, migration, digitization, preservation strategies, preservation management and ongoing evaluation. _Teaching Qualification Requirements:_ The course lecturer should have successfully completed courses in information studies at the graduate level, including the courses on preservation management. The lecturer must have at least two years’ experience as a professional archivist, preferably in an academic setting. A Master’s degree is required. **Hiring Unit:** School of Information Studies **Course Number:** INFS 642 - Preservation Management **Credit:** 3 credit course **Schedule:** Tuesday, 02:35 pm-05:25 pm **Location:** EDUC 211 **Salary:** $11,824.00 **INFS 680 Introduction to Information Security and Cryptography (3 credits)** _Course description_ : A general introduction to cybersecurity and cryptography. This course examines the main threats that organizations face towards the protection of data and information concerning its customers and trade secrets. It also covers, at a high level, the basic control mechanisms and processes that can be put in place to protect against these threats and a general introduction to the concepts of cryptography as a way to secure communications. _Learning outcomes_ : By the end of this course, the students will: * Explain the fundamental concepts of cybersecurity, such as threats, cryptography, and vulnerability. * Describe the types of cyber-attacks, how they are implemented, and propose commonly used security hardening techniques and controls. * Perform threat and risk assessments at the network system, operating system, and software application levels. * Assess the security readiness of an organization. * Manage cybersecurity incidents and how to communicate them to an organization. * Develop policies to meet current security standards for an organization to adopt. * Assess ethical concerns in terms of security, privacy, and information guidelines and policies within national and international contexts. _Responsibility_ : Teach a 8 week online course in cybersecurity. Prepare and improve online video recordings, quizzes, assignments, and virtual lab materials. Guide online discussions. Answer students’ questions. Guide students to complete assignments and projects. Grading. _Teaching Qualification Requirements:_ Successful candidates should have * At least 10-year industrial experience in IT with strategic vision and broad knowledge in cybersecurity, from cryptograph to access control, from malware to risk assessment, from information security policies to cloud security. * Excellent track record of hands-on experience in cybersecurity. * A Bachelor's degree, a Master’s degree or a Doctoral degree in the relevant area. * Previous experience in creating and teaching cybersecurity course(s). * Prior online and in-person teaching experience. * Excellent communication skills. * Have passion to be a good teacher. **Hiring Unit:** School of Information Studies **Course Number:** INFS 680 - Introduction to Information Security and Cryptography **Credit:** 3 credit course **Start Date and End Date:** August 31, 2026 - October 31, 2026 **Schedule:**_**TBD**_ **Location:** _**TBD**_ **Salary:** $11,824.00 **Please note the Faculty of Arts has standardized Course Lecturer contract start and end dates: the course lecturer contract will be from August 31, 2026, to January 5, 2027, inclusively. Please keep in mind the course start and end dates will not follow the contract dates.** Salary will be commensurate with the salary scale for Course Lecturers, as described in the McGill Course Lecturers and Instructors Union Collective Agreement (). McGill University is committed to equity in employment and diversity. It welcomes applications from indigenous peoples, visible minorities, ethnic minorities, persons with disabilities, women, persons of minority sexual orientations and gender identities and others who may contribute to further diversification. The language of instruction at McGill is English, but a working knowledge of French would be an asset. _**McGill University is committed to equity and diversity within its community and values academic rigour and excellence. We welcome and encourage applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to engage productively with diverse communities.**_ _**At McGill, research that reflects diverse intellectual traditions, methodologies, and modes of dissemination and translation is valued and encouraged. Candidates are invited to demonstrate their research impact both within and across academic disciplines and in other sectors, such as government, communities, or industry.**_ _**McGill further recognizes and fairly considers the impact of leaves (e.g., family care or health-related) that may contribute to career interruptions or slowdowns. Candidates are encouraged to signal any leave that affected productivity, or that may have had an effect on their career path. This information will be considered to ensure the equitable assessment of the candidate’s record.**_ _**McGill implements an employment equity program and encourages members of designated equity groups to self-identify. It further seeks to ensure the equitable treatment and full inclusion of persons with disabilities by striving for the implementation of universal design principles transversally, across all facets of the University community, and through**_[ _**accommodation policies and procedures**_](https://www.mcgill.ca/hr/benefits/disabilities) _**. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence,**_****[**accessibilityrequest.hr @mcgill.ca**](mailto:accessibilityrequest.hr@mcgill.ca)**.** _**All qualified applicants are encouraged to apply; however, in accordance with Canadian immigration requirements, Canadians and permanent residents will be given priority.**_", "summaryDescription" : "Course Lecturer at McGill University. Skills: Metadata, Information Systems, Web Design. Teach courses for Fall 2026. 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Public libraries; Information science; Libraries; Archives; Information centers; Historical materials; Cultural heritage materials", "domainList" : [ "cultural-heritage-institutions", "public-libraries", "information-science", "libraries", "archives", "information-centers", "historical-materials", "cultural-heritage-materials" ], "domainSpecificKnowledge" : [ "Cultural heritage institutions", "Public libraries", "Information science", "Libraries", "Archives", "Information centers", "Historical materials", "Cultural heritage materials" ], "outcomesObjectives" : "Identify metadata characteristics; Recognize metadata schemes; Understand metadata schemes strengths; Understand metadata schemes weaknesses; Extend material durability; Assure continued accessibility", "qualificationsBasic" : "Master's degree required, 2 years' experience as a professional archivist, 2 years' experience as a public librarian, 3 years of professional experience with information systems, Graduate-level courses in information studies, Graduate-level courses in librarianship, Graduate-level courses in web system design, Graduate-level courses on metadata and access, Graduate-level courses on public libraries, Graduate-level courses on preservation management, Completed the course (or an equivalent one) in Information System Design, Taught graduate courses in Information Studies, Completed courses in information studies at the graduate level, Completed courses in librarianship at the graduate level, Completed courses in web system design at the graduate level, Completed courses on metadata and access at the graduate level, Completed courses on public libraries at the graduate level, Completed courses on preservation management at the graduate level", "qualificationsPreferred" : "Professional archivist in an academic setting, Taught a course in public libraries, 2 years of experience as an information professional", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Please refer to the[How to Apply for a Job (for External Candidates)](https://www.mcgill.ca/hr/files/hr/apply_at_mcgill_university_-_guide_for_external_candidates_en.pdf) job aid for instructions on how to apply.** **If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** McGill’s School of Information Studies Master’s program () is seeking Course Lecturers to teach courses for Fall 2026. **INFS 609 Metadata and Access (3 credits**) _Course Description_ : The course presents fundamental theories and practices of organizing and describing e- resources in libraries, archives, and related fields. It covers prevailing metadata schemes, extensible markup language (XML) and the metadata application profile. It also discusses issues related to the management of metadata schemes in cultural heritage institutions. _Learning Outcomes_ : * To identify the characteristics of metadata as descriptive tools for organizing digital resources. * To recognize various metadata schemes in diverse communities. * To understand the strengths and weaknesses of major metadata schemes. * To enable to develop a metadata application profile in an institutional context. * To recognize the important issues related to metadata management and implementation in institutional settings. Archival descriptive tools in metadata-based access systems. Metadata schemas (MARC, Dublin Core and EAD), markup languages (SGML, HTML, and XML), DTD, vocabulary control, and metadata management issues _._ _Teaching Qualification Requirements:_ The course lecturer should have successfully completed courses in information studies at the graduate level, including the courses on metadata and access. The lecturer must have at least two years’ experience as a professional archivist, preferably in an academic setting. A Master’s degree is required. **Hiring Unit:** School of Information Studies **Course Number:** INFS 609 - Metadata and Access **Credit:** 3 credit course **Schedule:** R, 08:35 am -11:25 am **Location:** EDUC 211 **Salary:** $11,824.00 **INFS 614 Public Libraries (3 credits)** _Course Description_ : A review of the Public Library Movement in English and French Canada. The development of public libraries in North America over the last twenty years with an emphasis on the library's role and responsibilities for the future. The impact of information technologies on the definition and delivery of services. _Teaching Qualification Requirements:_ The course lecturer should have successfully completed courses in librarianship at the graduate level, including the courses in public libraries. The lecturer must have at least two years’ experience as a public librarian. Ideally, the candidate will have had taught a course in public libraries. A Master’s degree in Information Studies (or equivalent) is required. **Hiring Unit:** School of Information Studies **Course Title:** INFS 614 - Public Libraries **Credits:** 3 credit course **Schedule** : R : 05:35 pm-08:25 pm **Location:** EDUC 211 **Salary:** $11,824.00 **INFS 617 Information System Design (3 credits)** _Course Description_ : Introduction to tools for developing information systems. Topics include computer terminology and syntax and semantic of programming languages, with emphasis on their use for text parsing, searching, and database design, which are fundamental concepts in the field of information science. _Teaching Qualification Requirements:_ The course lecturer(s) should have successfully completed Information Studies courses at the graduate level. The candidate(s) will have completed the course (or an equivalent one) and taught graduate courses in Information Studies. The candidate(s) should have at least 3 years of professional experience with information systems, including their design and implementation. A Master’s degree in Information Studies (or equivalent) is required. **Hiring Unit:** School of Information Studies **Course Title:** INFS 617 - Information System Design **Credits:** 3 credit course **Schedule** : F : 02:35 pm-05:25 pm **Location:** ARTS 150 **Salary:** $11,824.00 **INFS 634 Web System Design & Management (3 credits)** _Course description:_ Principles and practices of designing website in the context of libraries and information centres. The course focuses on a conceptual approach to organizing information for the world wide web including design, implementation and management issues. Topics include web development tools, markup languages, internet security and web server administration. _Teaching Qualification Requirements:_ The course lecturer should have successfully completed graduate-level courses in web system design. Ideally, the candidate will have had at least two years of experience as an information professional. A relevant Master’s degree is required. **Hiring Unit:** School of Information Studies **Course Number:** INFS 634 - Web System Design and Management **Credit:** 3 credit course **Schedule:** Tuesday, 5:35 pm - 8:25 pm **Location:** LEA 15 **Salary:** $11,824.00 **INFS 642 Preservation Management (3 credits)** _Course Description_ : Principles and practices for intellectual and physical preservation of historical and cultural heritage materials in all forms to extend their durability and assure continued accessibility, through selection, conservation, migration, digitization, preservation strategies, preservation management and ongoing evaluation. _Teaching Qualification Requirements:_ The course lecturer should have successfully completed courses in information studies at the graduate level, including the courses on preservation management. The lecturer must have at least two years’ experience as a professional archivist, preferably in an academic setting. A Master’s degree is required. **Hiring Unit:** School of Information Studies **Course Number:** INFS 642 - Preservation Management **Credit:** 3 credit course **Schedule:** Tuesday, 02:35 pm-05:25 pm **Location:** EDUC 211 **Salary:** $11,824.00 **INFS 680 Introduction to Information Security and Cryptography (3 credits)** _Course description_ : A general introduction to cybersecurity and cryptography. This course examines the main threats that organizations face towards the protection of data and information concerning its customers and trade secrets. It also covers, at a high level, the basic control mechanisms and processes that can be put in place to protect against these threats and a general introduction to the concepts of cryptography as a way to secure communications. _Learning outcomes_ : By the end of this course, the students will: * Explain the fundamental concepts of cybersecurity, such as threats, cryptography, and vulnerability. * Describe the types of cyber-attacks, how they are implemented, and propose commonly used security hardening techniques and controls. * Perform threat and risk assessments at the network system, operating system, and software application levels. * Assess the security readiness of an organization. * Manage cybersecurity incidents and how to communicate them to an organization. * Develop policies to meet current security standards for an organization to adopt. * Assess ethical concerns in terms of security, privacy, and information guidelines and policies within national and international contexts. _Responsibility_ : Teach a 8 week online course in cybersecurity. Prepare and improve online video recordings, quizzes, assignments, and virtual lab materials. Guide online discussions. Answer students’ questions. Guide students to complete assignments and projects. Grading. _Teaching Qualification Requirements:_ Successful candidates should have * At least 10-year industrial experience in IT with strategic vision and broad knowledge in cybersecurity, from cryptograph to access control, from malware to risk assessment, from information security policies to cloud security. * Excellent track record of hands-on experience in cybersecurity. * A Bachelor's degree, a Master’s degree or a Doctoral degree in the relevant area. * Previous experience in creating and teaching cybersecurity course(s). * Prior online and in-person teaching experience. * Excellent communication skills. * Have passion to be a good teacher. **Hiring Unit:** School of Information Studies **Course Number:** INFS 680 - Introduction to Information Security and Cryptography **Credit:** 3 credit course **Start Date and End Date:** August 31, 2026 - October 31, 2026 **Schedule:**_**TBD**_ **Location:** _**TBD**_ **Salary:** $11,824.00 **Please note the Faculty of Arts has standardized Course Lecturer contract start and end dates: the course lecturer contract will be from August 31, 2026, to January 5, 2027, inclusively. Please keep in mind the course start and end dates will not follow the contract dates.** Salary will be commensurate with the salary scale for Course Lecturers, as described in the McGill Course Lecturers and Instructors Union Collective Agreement (). McGill University is committed to equity in employment and diversity. It welcomes applications from indigenous peoples, visible minorities, ethnic minorities, persons with disabilities, women, persons of minority sexual orientations and gender identities and others who may contribute to further diversification. The language of instruction at McGill is English, but a working knowledge of French would be an asset. _**McGill University is committed to equity and diversity within its community and values academic rigour and excellence. We welcome and encourage applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to engage productively with diverse communities.**_ _**At McGill, research that reflects diverse intellectual traditions, methodologies, and modes of dissemination and translation is valued and encouraged. Candidates are invited to demonstrate their research impact both within and across academic disciplines and in other sectors, such as government, communities, or industry.**_ _**McGill further recognizes and fairly considers the impact of leaves (e.g., family care or health-related) that may contribute to career interruptions or slowdowns. Candidates are encouraged to signal any leave that affected productivity, or that may have had an effect on their career path. This information will be considered to ensure the equitable assessment of the candidate’s record.**_ _**McGill implements an employment equity program and encourages members of designated equity groups to self-identify. It further seeks to ensure the equitable treatment and full inclusion of persons with disabilities by striving for the implementation of universal design principles transversally, across all facets of the University community, and through**_[ _**accommodation policies and procedures**_](https://www.mcgill.ca/hr/benefits/disabilities) _**. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence,**_****[**accessibilityrequest.hr @mcgill.ca**](mailto:accessibilityrequest.hr@mcgill.ca)**.** _**All qualified applicants are encouraged to apply; however, in accordance with Canadian immigration requirements, Canadians and permanent residents will be given priority.**_", "summaryDescription" : "Course Lecturer at McGill University. Skills: Metadata, Information Systems, Web Systems. Teach courses for Fall 2026. Organize and describe e-resources", "postedDate" : "2026-06-08T12:20:38.724", "createdAt" : "2026-06-11T12:20:38.693", "lastUpdated" : "2026-06-12T17:36:55.559", "ingestTimestamp" : "2026-06-11T12:20:38.693", "mongoId" : "6a26569474d8ee00a021d447", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/Peel-3661/Course-Lecturer---School-of-Information-Studies_JR0000077077-2", "salaryAnnualMin" : 11824, "salaryAnnualMax" : 11824, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Metadata schemes", "Vocabulary control", "Internet security", "Web server administration", "Metadata", "Information Systems", "Web Systems", "Information organization", "Metadata management", "Information systems design", "Web system design", "Preservation management", "Web development", "Cultural heritage institutions", "Public libraries", "Information science", "Libraries", "Archives", "Information centers", "Historical materials", "Cultural heritage materials" ], "skillCount" : 21, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.7777778, "_score" : 1033.5646, "daysOld" : 4, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education" }, { "id" : "6a2c96bd74d8ee00a09905fc", "title" : "Manager, Data Management & Visualization", "company" : "Omnicom Media", "salary" : { "min" : 1.0, "max" : 1.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T09:04:45.032", "fingerprint" : "ae105037fa53b75294cfb023809b896035dc9191c95fe1deb9f63b8cb62fa1b4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/mediabrands/jobs/5142684007", "externalId" : "5142684007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceLevel" : "Manager", "softSkillsList" : [ "Advanced verbal skills", "Advanced written skills", "Organizational skills", "Project management skills", "Collaboration skills", "Interpersonal skills", "Proactive problem-solving" ], "softSkills" : [ { "name" : "Advanced verbal skills" }, { "name" : "Advanced written skills" }, { "name" : "Organizational skills" }, { "name" : "Project management skills" }, { "name" : "Collaboration skills" }, { "name" : "Interpersonal skills" }, { "name" : "Proactive problem-solving" } ], "domainKnowledge" : "Diverse dataset types; Campaign management; Performance optimization; Media platforms", "domainList" : [ "diverse-dataset-types", "campaign-management", "performance-optimization", "media-platforms" ], "domainSpecificKnowledge" : [ "Diverse dataset types", "Campaign management", "Performance optimization", "Media platforms" ], "remoteFriendly" : false, "rawDescription" : "Position Summary The Manager, Data Management comfort with diverse dataset types (paid, owned, etc.) Familiarity with campaign management and performance optimization processes Strong attention to detail and ability to identify and resolve data anomalies Advanced verbal, written, organizational, and project management skills; comfortable juggling multiple priorities Excellent collaboration and interpersonal skills with a proactive approach to problem-solving Experience in process automation/continuous improvement initiatives TOOLS Business Intelligence: Advanced Excel (required), Tableau, PowerBI, Datorama, Looker/Looker Studio, Domo, PowerPoint Data Management & Transformation: ETL Tools (Adverity, Datorama), Alteryx, SQL (preferred), Python (nice to have) Data Storage/Cloud: AWS (Redshift, S3), Starburst.io, Datorama, Snowflake, Domo Media Platforms: DCM, DV360, Google Ads, DoubleVerify, IAS, TradeDesk, Facebook, Instagram, Snapchat, Twitter, TikTok, Prisma Project Management: HIVE, Asana, Smartsheet, Microsoft Teams Media Planning: MediaTools, Lumina, Hudson (bonus) Wage and Benefits We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. . The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee’s/applicant’s skill set, level of experience, and qualifications. Employment Transparency It is our policy to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions. For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with Mediabrands, please email accommodation@mbww.com. Salary Range $1—$1 USD", "summaryDescription" : "Manager, Data Management & Visualization at Omnicom Media", "postedDate" : "2026-06-14T04:58:35.762", "createdAt" : "2026-06-14T04:58:35.762", "lastUpdated" : "2026-06-15T09:04:45.032", "ingestTimestamp" : "2026-06-14T04:58:35.762", "mongoId" : "6a2c96bd74d8ee00a09905fc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 1, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Advanced verbal skills", "Advanced written skills", "Organizational skills", "Project management skills", "Collaboration skills", "Interpersonal skills", "Proactive problem-solving", "Diverse dataset types", "Campaign management", "Performance optimization", "Media platforms" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 992.8095, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c96bd74d8ee00a09905fe", "title" : "Manager, Data Management & Visualization", "company" : "Omnicom Media", "industry" : "Media", "salary" : { "min" : 90000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T05:20:25.576", "fingerprint" : "678e87c22e4f42cb59ab986cb8f864a54d497d6c5b68502c9f3ddcba368baa75", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/mediabrands/jobs/5129895007", "externalId" : "5129895007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceLevel" : "Manager", "softSkillsList" : [ "Advanced verbal", "Advanced written", "Organizational", "Project management", "Interpersonal", "Proactive problem-solving" ], "softSkills" : [ { "name" : "Advanced verbal" }, { "name" : "Advanced written" }, { "name" : "Organizational" }, { "name" : "Project management" }, { "name" : "Interpersonal" }, { "name" : "Proactive problem-solving" } ], "projectManagementSkills" : [ "HIVE", "Asana", "Smartsheet", "Microsoft Teams" ], "domainKnowledge" : "Paid data; Owned data; Campaign management; Performance optimization; Media platforms", "domainList" : [ "paid-data", "owned-data", "campaign-management", "performance-optimization", "media-platforms" ], "domainSpecificKnowledge" : [ "Paid data", "Owned data", "Campaign management", "Performance optimization", "Media platforms" ], "communicationSkills" : "Advanced verbal; Advanced written", "problemSolvingSkills" : "Proactive problem-solving", "remoteFriendly" : false, "rawDescription" : "Position Summary The Manager, Data Management comfort with diverse dataset types (paid, owned, etc.) Familiarity with campaign management and performance optimization processes Strong attention to detail and ability to identify and resolve data anomalies Advanced verbal, written, organizational, and project management skills; comfortable juggling multiple priorities Excellent collaboration and interpersonal skills with a proactive approach to problem-solving Experience in process automation/continuous improvement initiatives TOOLS Business Intelligence: Advanced Excel (required), Tableau, PowerBI, Datorama, Looker/Looker Studio, Domo, PowerPoint Data Management & Transformation: ETL Tools (Adverity, Datorama), Alteryx, SQL (preferred), Python (nice to have) Data Storage/Cloud: AWS (Redshift, S3), Starburst.io, Datorama, Snowflake, Domo Media Platforms: DCM, DV360, Google Ads, DoubleVerify, IAS, TradeDesk, Facebook, Instagram, Snapchat, Twitter, TikTok, Prisma Project Management: HIVE, Asana, Smartsheet, Microsoft Teams Media Planning: MediaTools, Lumina, Hudson (bonus) Wage and Benefits We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. . The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee’s/applicant’s skill set, level of experience, and qualifications. Employment Transparency It is our policy to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions. For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with Mediabrands, please email accommodation@mbww.com. 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The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee’s/applicant’s skill set, level of experience, and qualifications. Employment Transparency It is our policy to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions. For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with Mediabrands, please email accommodation@mbww.com. Salary Range $90,000—$105,000 USD", "summaryDescription" : "Manager, Data Management & Visualization at Omnicom Media", "postedDate" : "2026-06-13T22:31:10.793", "createdAt" : "2026-06-13T22:31:10.793", "lastUpdated" : "2026-06-15T08:00:37.013", "ingestTimestamp" : "2026-06-13T22:31:10.793", "mongoId" : "6a2c96bd74d8ee00a09905fb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 90000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Interpersonal skills", "Project management", "Paid data", "Owned data", "Campaign management", "Performance optimization" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 987.858, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c96bd74d8ee00a09905fd", "title" : "Manager, Data Management & Visualization", "company" : "Omnicom Media", "industry" : "Media", "salary" : { "min" : 90000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T12:53:00.363", "fingerprint" : "521be217c1a87f42ee279a1f79c2789cbbf2ed7c6d8b27d65a6ac3f8729ab370", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/mediabrands/jobs/5148226007", "externalId" : "5148226007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceLevel" : "Manager", "domainKnowledge" : "Paid data; Owned data; Media platforms; Data management; Data visualization", "domainList" : [ "paid-data", "owned-data", "media-platforms", "data-management", "data-visualization" ], "domainSpecificKnowledge" : [ "Paid data", "Owned data", "Media platforms", "Data management", "Data visualization" ], "communicationSkills" : "Advanced verbal; Advanced written", "problemSolvingSkills" : "Problem-solving", "remoteFriendly" : false, "rawDescription" : "Position Summary The Manager, Data Management comfort with diverse dataset types (paid, owned, etc.) Familiarity with campaign management and performance optimization processes Strong attention to detail and ability to identify and resolve data anomalies Advanced verbal, written, organizational, and project management skills; comfortable juggling multiple priorities Excellent collaboration and interpersonal skills with a proactive approach to problem-solving Experience in process automation/continuous improvement initiatives TOOLS Business Intelligence: Advanced Excel (required), Tableau, PowerBI, Datorama, Looker/Looker Studio, Domo, PowerPoint Data Management & Transformation: ETL Tools (Adverity, Datorama), Alteryx, SQL (preferred), Python (nice to have) Data Storage/Cloud: AWS (Redshift, S3), Starburst.io, Datorama, Snowflake, Domo Media Platforms: DCM, DV360, Google Ads, DoubleVerify, IAS, TradeDesk, Facebook, Instagram, Snapchat, Twitter, TikTok, Prisma Project Management: HIVE, Asana, Smartsheet, Microsoft Teams Media Planning: MediaTools, Lumina, Hudson (bonus) Wage and Benefits We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. . The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee’s/applicant’s skill set, level of experience, and qualifications. Employment Transparency It is our policy to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions. For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with Mediabrands, please email accommodation@mbww.com. Salary Range $90,000—$105,000 USD", "summaryDescription" : "Manager, Data Management & Visualization at Omnicom Media", "postedDate" : "2026-06-13T20:55:41.364", "createdAt" : "2026-06-13T20:55:41.364", "lastUpdated" : "2026-06-15T12:53:00.363", "ingestTimestamp" : "2026-06-13T20:55:41.364", "mongoId" : "6a2c96bd74d8ee00a09905fd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 90000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Paid data", "Owned data", "Media platforms", "Data management", "Data visualization" ], "skillCount" : 5, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 986.3805, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a0a154f1663d49372b4b6ad", "title" : "Lecturer / Senior Lecturer", "company" : "Botho University", "industry" : "Education", "salary" : { "min" : 360000.0, "max" : 600000.0, "currency" : "SZL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Eswatini, adjusted for Senior Lecturer seniority and the Education industry." }, "location" : "Manzini, SZ", "locations" : [ "Manzini", "SZ" ], "timestamp" : "2026-06-15T07:31:54.486", "fingerprint" : "120b3b93c6d937f678ee214b1e5b4ff023db4edb22ef8e20429181df45b5058e", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://bothouniversity.breezy.hr/p/c462575e9320-lecturer-senior-lecturer", "externalId" : "c462575e9320", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Manzini", "country" : "Eswatini", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-26.4976444,31.3750815" } ], "locationText" : "Manzini, Eswatini", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "workSiteFlexibility" : "Onsite", "rawDescription" : "Botho University (BU), a leader in academic excellence and research innovation, invites applications from dynamic, experienced, and passionate intellectuals for the following position based at our Eswatini Campus. Lecturer / Senior Lecturer-FBA Ref2026/ESW/FBA/LSL01 Qualifications & Experienc", "summaryDescription" : "Lecturer / Senior Lecturer at Botho University", "createdAt" : "2026-06-14T00:11:56.198", "lastUpdated" : "2026-06-15T07:31:54.486", "ingestTimestamp" : "2026-06-14T00:11:56.198", "mongoId" : "6a0a154f1663d49372b4b6ad", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 984.5657, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a0a154f1663d49372b4b6a6", "title" : "Lecturer / Senior Lecturer", "company" : "Botho University", "industry" : "Education", "salary" : { "min" : 350000.0, "max" : 600000.0, "currency" : "SZL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Lecturer/Senior Lecturer in Eswatini, adjusted for a senior seniority level and the education industry." }, "location" : "Manzini, SZ", "locations" : [ "Manzini", "SZ" ], "timestamp" : "2026-06-15T21:21:25.510", "fingerprint" : "0386d4415d1151f809bdee0eddae49b160fda3bbd18d4092fdf654cfc44fbd3b", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://bothouniversity.breezy.hr/p/b465d393b0a7-lecturer-senior-lecturer", "externalId" : "b465d393b0a7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Manzini", "country" : "Eswatini", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-26.4976444,31.3750815" } ], "locationText" : "Manzini, Eswatini", "employmentType" : "CONTRACT", "workSiteFlexibility" : "Onsite", "rawDescription" : "Botho University (BU), a leader in academic excellence and research innovation, invites applications from dynamic, experienced, and passionate intellectuals for the following position based at our Eswatini Campus. Lecturer / Senior Lecturer Ref2026/ESW/FET/LSL01 Qualifications & Experience M", "summaryDescription" : "Lecturer / Senior Lecturer at Botho University", "createdAt" : "2026-06-14T19:26:03.921", "lastUpdated" : "2026-06-15T21:21:25.510", "ingestTimestamp" : "2026-06-14T19:26:03.921", "mongoId" : "6a0a154f1663d49372b4b6a6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "_score" : 978.2776, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a265c9274d8ee00a0220164", "title" : "Course Lecturer - URBP 624 Planning Studio 3", "company" : "McGill University", "salary" : { "min" : 11824.0, "max" : 11824.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Canada", "locations" : [ "Canada" ], "certifications" : [ "Professional Planner" ], "timestamp" : "2026-06-12T18:00:44.036", "fingerprint" : "f7604b88757bb1e59f321bcf2c611bcf664872f31c84da3dbe5a66a34ab63d76", "source" : "workday", "language" : "en", "applyUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/MacDonald-Harrington/Course-Lecturer---URBP-624-Planning-Studio-3_JR0000076482", "externalId" : "JR0000076482", "locationPoint" : "56.1304,-106.3468", "structuredLocations" : [ { "city" : "Montreal", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.5031824,-73.5698065" } ], "locationText" : "Montreal, Quebec, Canada", "employmentType" : "PART_TIME", "professionalSkills" : [ "Project management", "Client relations", "Professional communication" ], "hardSkillsList" : [ "Research skills", "Planning skills" ], "hardSkills" : [ { "name" : "Research skills", "level" : "intermediate" }, { "name" : "Planning skills", "level" : "intermediate" } ], "majorSkills" : "Planning, Research, Communication", "majorSkillsList" : [ "Planning", "Research", "Communication" ], "coreResponsibilities" : "Co-teach course, Explore planning problems, Acquire research skills, Acquire planning skills, Guide student teams, Fulfill client mandates, Manage project scope, Facilitate client interactions, Develop professional communication", "teamCollaboration" : "Student teams; Public sector clients; Private sector clients; Third-sector clients", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Local planning; Regional planning; Urban planning", "domainList" : [ "local-planning", "regional-planning", "urban-planning" ], "domainSpecificKnowledge" : [ "Local planning", "Regional planning", "Urban planning" ], "communicationSkills" : "Professional communication", "qualificationsBasic" : "Professional Planner, Proficiency in English, Proficiency in French, Experience in teaching, Authorized to work in Canada, Willing to work in Quebec", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Please refer to the[How to Apply for a Job (for External Candidates)](https://www.mcgill.ca/hr/files/hr/apply_at_mcgill_university_-_guide_for_external_candidates_en.pdf) job aid for instructions on how to apply.** **If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** Co-teaches 3 credits worth (6 credit course) with Prof. Richard Shearmur: Exploration of complex planning problems at the local or regional scale, chosen depending on the experience and research interests of the participants, for the acquisition of research and planning skills in greater depth. Students work in teams to fulfill a mandate for a public, private or third-sector client. Substantive issues vary according to clients. Topics: project management, client-consultant interactions, and professional communication. Salary: $11,824 Mondays and Thursdays - 2:35 pm to 5:25 pm School of Urban Planning, Macdonald Harrington Building **Teaching Qualification Requirements:** \\- Professional Planner \\- Proficiency in English and French \\- Experience in teaching ** _Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located._** **_McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing._** **Hiring Unit:** School of Urban Planning **Course Title:** Planning Studio 3 **Subject Code:** URBP 624 **Location:** Macdonald Harrington Building **Schedule:** Mondays and Thursdays 2:35 pm to 5:25 pm **Deadline to Apply:** 2026-06-12 _**McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence,[ accessibilityrequest.hr@mcgill.ca](mailto:accessibilityrequest.hr@mcgill.ca).**_", "summaryDescription" : "Course Lecturer - URBP 624 Planning Studio 3 at McGill University. Skills: Planning, Research, Communication. Co-teach course. Explore planning problems", "postedDate" : "2026-06-05T12:47:59.088", "createdAt" : "2026-06-11T12:47:58.935", "lastUpdated" : "2026-06-12T18:00:44.036", "ingestTimestamp" : "2026-06-11T12:47:58.935", "mongoId" : "6a265c9274d8ee00a0220164", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/MacDonald-Harrington/Course-Lecturer---URBP-624-Planning-Studio-3_JR0000076482", "salaryAnnualMin" : 11824, "salaryAnnualMax" : 11824, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Research skills", "Planning skills", "Planning", "Research", "Communication", "Project management", "Client relations", "Professional communication", "Local planning", "Regional planning", "Urban planning", "Professional Planner" ], "skillCount" : 12, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 924.6345, "daysOld" : 7, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a26569674d8ee00a021d528", "title" : "Course Lecturer - URBP 609 Visual Communication 1", "company" : "Course Lecturer", "salary" : { "min" : 3941.34, "max" : 3941.34, "currency" : "USD", "frequency" : "yearly" }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-12T20:29:56.672", "fingerprint" : "f5fd7063914fbf8fd22eadf02348e2ad9f34f6717315b95fb4ad44cbac2898b2", "source" : "workday", "language" : "en", "applyUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/MacDonald-Harrington/Course-Lecturer---URBP-609-Visual-Communication-1_JR0000077383", "externalId" : "JR0000077383", "locationPoint" : "56.1304,-106.3468", "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Canada", "employmentType" : "PART_TIME", "minimumEducation" : "Master's", "professionalSkills" : [ "Visual representation", "Graphic communication" ], "hardSkillsList" : [ "Hand rendering" ], "hardSkills" : [ { "name" : "Hand rendering", "level" : "intermediate" } ], "majorSkills" : "Visual communication, Urban data representation", "majorSkillsList" : [ "Visual communication", "Urban data representation" ], "coreResponsibilities" : "Teach visual communication module, Emphasize basics of visual representation, Represent spatial data, Represent urban data, Target professional planning audiences", "domainKnowledge" : "Urban planning; Spatial data; Urban data", "domainList" : [ "urban-planning", "spatial-data", "urban-data" ], "domainSpecificKnowledge" : [ "Urban planning", "Spatial data", "Urban data" ], "qualificationsBasic" : "Architectural design skills, Graphic design skills, Prior studio teaching experience, Professional architecture experience, Community design experience, Community planning experience, Graduate architecture degree, Graduate urban design degree, Authorized to work in Canada, Willing to work in Quebec", "qualificationsPreferred" : "PhD preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Please refer to the[How to Apply for a Job (for External Candidates)](https://www.mcgill.ca/hr/files/hr/apply_at_mcgill_university_-_guide_for_external_candidates_en.pdf) job aid for instructions on how to apply.** **If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** To teach visual communication 1 module with an emphasis on basics of visual representation of spatial and urban data for professional planning audiences, hand rendering, and principles of graphic communication. - 1 credit course **Teaching Qualification Requirements** : -Architectural and graphic design skills. \\- Prior studio (architecture and planning) teaching experience in a Montreal-setting. \\- Professional architecture, community design, and community planning experience. -Graduate architecture or urban design degree. - PhD preferred Salary: $3,941.34 Dates: September 8, 2026 to October 6, 2026 - Tuesdays from 8:30 am to 11:30 am School of Urban Planning ** _Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located._** **_McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing._** **Hiring Unit:** School of Urban Planning **Course Title:** Visual Communication 1 **Subject Code:** URBP 609 **Location:** Macdonald Harrington Building **Schedule:** Tuesdays 8:30 am to 11:30 am **Deadline to Apply:** 2026-06-12 _**McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence,[ accessibilityrequest.hr@mcgill.ca](mailto:accessibilityrequest.hr@mcgill.ca).**_", "summaryDescription" : "Course Lecturer - URBP 609 Visual Communication 1 at Course Lecturer. Skills: Visual communication, Urban data representation. Teach visual communication module. Emphasize basics of visual representation", "postedDate" : "2026-06-05T14:36:22.977", "createdAt" : "2026-06-11T14:36:22.962", "lastUpdated" : "2026-06-12T20:29:56.672", "ingestTimestamp" : "2026-06-11T14:36:22.962", "mongoId" : "6a26569674d8ee00a021d528", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/MacDonald-Harrington/Course-Lecturer---URBP-609-Visual-Communication-1_JR0000077383", "salaryAnnualMin" : 3941, "salaryAnnualMax" : 3941, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Hand rendering", "Visual communication", "Urban data representation", "Visual representation", "Graphic communication", "Urban planning", "Spatial data", "Urban data" ], "skillCount" : 8, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 922.3711, "daysOld" : 7, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a26569674d8ee00a021d525", "title" : "Course Lecturer - URBP 610 Visual Communication 2", "company" : "Course Lecturer", "salary" : { "min" : 3941.34, "max" : 3941.34, "currency" : "USD", "frequency" : "yearly" }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-12T18:34:15.805", "fingerprint" : "629b14c88c06d2e6c56af7214066f4362e2a9f8a19e2249d6bc02fc96e5285ff", "source" : "workday", "language" : "en", "applyUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/MacDonald-Harrington/Course-Lecturer---URBP-610-Visual-Communication-2_JR0000077384", "externalId" : "JR0000077384", "locationPoint" : "56.1304,-106.3468", "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Canada", "employmentType" : "PART_TIME", "minimumEducation" : "Master's", "professionalSkills" : [ "Visual representation", "Spatial data", "Urban data" ], "hardSkillsList" : [ "Computer software principles" ], "hardSkills" : [ { "name" : "Computer software principles", "level" : "intermediate" } ], "majorSkills" : "Visual communication, Urban planning", "majorSkillsList" : [ "Visual communication", "Urban planning" ], "coreResponsibilities" : "Teach visual communication module, Teach principles of visual representation", "domainKnowledge" : "Urban planning; Visual representation; Spatial data; Urban data", "domainList" : [ "urban-planning", "visual-representation", "spatial-data", "urban-data" ], "domainSpecificKnowledge" : [ "Urban planning", "Visual representation", "Spatial data", "Urban data" ], "communicationSkills" : "English communication", "qualificationsBasic" : "Architectural design skills, Graphic design skills, Studio teaching experience, Graduate architecture degree, Graduate urban design degree, Professional architecture experience, Community design experience, Community planning experience, Authorized to work in Canada, Willing to work in Quebec", "qualificationsPreferred" : "Prior teaching in graduate urban planning program, PhD", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Please refer to the[How to Apply for a Job (for External Candidates)](https://www.mcgill.ca/hr/files/hr/apply_at_mcgill_university_-_guide_for_external_candidates_en.pdf) job aid for instructions on how to apply.** **If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** To teach visual communication 2 module with an emphasis on computer software and principles of visual representation of spatial and urban data for professional planning audiences. (1 credit course). **Teaching Qualification Requirements:** \\- Architectural and graphic design skills. Prior studio (architecture and planning) teaching experience in a Montreal-setting. Professional architecture, community design, and community planning experience. \\- Graduate architecture or urban design degree. \\- Prior teaching in a graduate urban planning program desired. - PhD preferred. Salary: $3,941.34 Dates: November 3 to December 1, 2026 - Tuesdays from 8:30 am to 11:30 am School of Urban Planning ** _Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located._** **_McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing._** **Hiring Unit:** School of Urban Planning **Course Title:** Visual Communication 2 **Subject Code:** URBP 610 **Location:** Macdonald Harrington Building **Schedule:** Tuesdays from 8:30 am to 11:30 am **Deadline to Apply:** 2026-06-12 _**McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence,[ accessibilityrequest.hr@mcgill.ca](mailto:accessibilityrequest.hr@mcgill.ca).**_", "summaryDescription" : "Course Lecturer - URBP 610 Visual Communication 2 at Course Lecturer. Skills: Visual communication, Urban planning. Teach visual communication module. Teach principles of visual representation", "postedDate" : "2026-06-05T13:01:24.776", "createdAt" : "2026-06-11T13:01:24.767", "lastUpdated" : "2026-06-12T18:34:15.805", "ingestTimestamp" : "2026-06-11T13:01:24.767", "mongoId" : "6a26569674d8ee00a021d525", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/MacDonald-Harrington/Course-Lecturer---URBP-610-Visual-Communication-2_JR0000077384", "salaryAnnualMin" : 3941, "salaryAnnualMax" : 3941, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Computer software principles", "Visual communication", "Urban planning", "Visual representation", "Spatial data", "Urban data" ], "skillCount" : 6, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 914.05316, "daysOld" : 7, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a265c9274d8ee00a0220163", "title" : "Course Lecturer - URBP 622 Planning Studio 1", "company" : "McGill University", "salary" : { "min" : 7882.68, "max" : 7882.68, "currency" : "USD", "frequency" : "yearly" }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-12T18:37:29.507", "fingerprint" : "65ae3816ccce594b3ab08b872d18cc17714fc1fc509c8f37a00effd807bd7dbc", "source" : "workday", "language" : "en", "applyUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/MacDonald-Harrington/Course-Lecturer---URBP-622-Planning-Studio-1_JR0000076813", "externalId" : "JR0000076813", "locationPoint" : "56.1304,-106.3468", "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Canada", "employmentType" : "PART_TIME", "minimumEducation" : "Master's", "professionalSkills" : [ "Community planning", "Socio-spatial analysis", "Plan-making", "Planning communication" ], "majorSkills" : "Urban planning, Community planning, Plan-making", "majorSkillsList" : [ "Urban planning", "Community planning", "Plan-making" ], "coreResponsibilities" : "Co-teach graduate urban planning studio, Provide introduction to community planning process, Teach individual-based skills, Teach group-based skills", "domainKnowledge" : "Quebec planning law", "domainList" : [ "quebec-planning-law" ], "domainSpecificKnowledge" : [ "Quebec planning law" ], "communicationSkills" : "Planning communication", "specialRequirements" : "Authorized to work in Canada, Willing to work in Quebec", "qualificationsBasic" : "MUP degree, Professional experience with production of community and/or master plans in Quebec, Experience with facilitation, Experience with public engagement, Prior graduate teaching experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Please refer to the[How to Apply for a Job (for External Candidates)](https://www.mcgill.ca/hr/files/hr/apply_at_mcgill_university_-_guide_for_external_candidates_en.pdf) job aid for instructions on how to apply.** **If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** Co-instructor (2 credits worth) teaching with Prof. Lisa Bornstein (6 credit course) of a graduate urban planning studio, providing introduction to community planning process including individual and group-based skills in socio-spatial analysis, plan-making, and planning communication. Salary: $7,882.68 Dates: August 31, 2026 to December 4, 2026 - Tuesdays and Thursdays 2:35 pm to 5:25 pm School of Urban Planning, Macdonald Harrington Building **Teaching Qualification Requirements** : \\- MUP degree \\- Professional experience with production of community and/or master plans in Quebec \\- Experience with facilitation, public engagement and/or prior graduate teaching ** _Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located._** **_McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing._** **Hiring Unit:** School of Urban Planning **Course Title:** Planning Studio 1 **Subject Code:** URBP 622 **Location:** Macdonald Harrington Building **Schedule:** Tuesdays and Thursdays 2:35 pm to 5:25 pm **Deadline to Apply:** 2026-06-12 _**McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence,[ accessibilityrequest.hr@mcgill.ca](mailto:accessibilityrequest.hr@mcgill.ca).**_", "summaryDescription" : "Course Lecturer - URBP 622 Planning Studio 1 at McGill University. Skills: Urban planning, Community planning, Plan-making. Co-teach graduate urban planning studio. Provide introduction to community planning process", "postedDate" : "2026-06-05T13:32:40.897", "createdAt" : "2026-06-11T13:32:40.890", "lastUpdated" : "2026-06-12T18:37:29.507", "ingestTimestamp" : "2026-06-11T13:32:40.890", "mongoId" : "6a265c9274d8ee00a0220163", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/MacDonald-Harrington/Course-Lecturer---URBP-622-Planning-Studio-1_JR0000076813", "salaryAnnualMin" : 7882, "salaryAnnualMax" : 7882, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Urban planning", "Community planning", "Plan-making", "Socio-spatial analysis", "Planning communication", "Quebec planning law" ], "skillCount" : 6, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 913.77747, "daysOld" : 7, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2c72af74d8ee00a09316a7", "title" : "Part-Time Lecturer", "company" : "Amref Health Africa", "industry" : "Higher Education", "salary" : { "min" : 1200000.0, "max" : 2400000.0, "currency" : "KES", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Part-Time Lecturer in Nairobi, Kenya, adjusted for mid-seniority and the healthcare industry." }, "location" : "Nairobi, Nairobi County, KE", "locations" : [ "Nairobi", "Nairobi County", "KE" ], "certifications" : [ "Certificate in Pedagogy", "Registered by TVETA as a trainer", "Registered and licensed by the Counsellors and Psychologist board", "Registered and licensed by the Health Records & Information Management Board" ], "timestamp" : "2026-06-15T05:16:22.114", "fingerprint" : "0febecb576619d24614d20289051fd4fbd070628e52a004f3b6bd276108a43ee", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/AmrefHealthAfrica4/744000131903289-part-time-lecturer", "externalId" : "744000131903289", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Nairobi", "state" : "Nairobi County", "country" : "Kenya", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-1.3023980,36.8288509" } ], "locationText" : "Nairobi, Nairobi County, Kenya", "employmentType" : "PART_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceLevel" : "not-applicable", "professionalSkills" : [ "Teaching", "Assessing", "Mentoring" ], "hardSkillsList" : [ "Curriculum adherence", "Practical assessment", "Exam preparation", "Continuous assessment", "Trainee supervision", "Grade entry", "Industrial supervision", "Competency preparation", "Record maintenance", "Exam processing", "Class attendance monitoring", "Examination invigilation" ], "hardSkills" : [ { "name" : "Curriculum adherence", "level" : "intermediate" }, { "name" : "Practical assessment", "level" : "intermediate" }, { "name" : "Exam preparation", "level" : "intermediate" }, { "name" : "Continuous assessment", "level" : "intermediate" }, { "name" : "Trainee supervision", "level" : "intermediate" }, { "name" : "Grade entry", "level" : "intermediate" }, { "name" : "Industrial supervision", "level" : "intermediate" }, { "name" : "Competency preparation", "level" : "intermediate" }, { "name" : "Record maintenance", "level" : "intermediate" }, { "name" : "Exam processing", "level" : "intermediate" }, { "name" : "Class attendance monitoring", "level" : "intermediate" }, { "name" : "Examination invigilation", "level" : "intermediate" } ], "majorSkills" : "TVET training, Health sciences, Community health", "majorSkillsList" : [ "TVET training", "Health sciences", "Community health" ], "coreResponsibilities" : "Instruct trainees in course(s)/units, Plan, conduct and assess practicals, Develop schemes of work, lesson plans, Give lecture, Prepare internal exams, Conduct validation, Carry out continuous assessment, Supervise and assess trainee(s), Mark, grade and enter grades, Supervise trainees on industrial attachment, Prepare trainees for external exams, Maintain appropriate records, Adhere to exam preparation and processing, Attend all class contact hours, Mentor students, Invigilate examinations, Monitor class attendance", "teamCollaboration" : "Work with HOD; Work with Director", "domainKnowledge" : "Health sciences; Public health; Community health; Primary Health care; TVET curriculum; Occupational standards; TVET CDACC", "domainList" : [ "health-sciences", "public-health", "community-health", "primary-health-care", "tvet-curriculum", "occupational-standards", "tvet-cdacc" ], "domainSpecificKnowledge" : [ "Health sciences", "Public health", "Community health", "Primary Health care", "TVET curriculum", "Occupational standards", "TVET CDACC" ], "toolProficiency" : [ "ERP" ], "documentationSkills" : "Maintain records", "qualificationsBasic" : "Bachelor of Arts in Counselling Psychology, Registered and licensed by the Counsellors and Psychologist board, Certificate in Pedagogy or registered by TVETA as a trainer, Bachelor of Science in Community Health and Development, Bachelor of Science in Health Records and Information Management, Registered and licensed by the Health Records & Information Management Board, Bachelor of Arts in Social Work & Community Development, Bachelor of Science in Environmental Sciences", "qualificationsPreferred" : "2 years of industry experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amref International University focuses on training, research and extension in health sciences, emphasizing promotive, preventive, rehabilitative and palliative health. AmIU is founded on the experience and intellect of Amref Health Africa, which is reputed for its over 60 years of quality and innovative public and community health interventions, training, and education. It is committed to progressively developing innovative programmes catering to the present and future African and global health needs. The University offers postgraduate, undergraduate, higher diploma, diploma· and certificate programmes and Continuing Professional Development (CPD) courses that prepare human resources for health to serve throughout the health system. AmIU will become the Pan African University in Primary Health care and seeks to train transformational leaders who will Inspire Lasting Change. For more on Amref International University, please visit Mainpurpose of the job The TVET Directorate of Amref International University wishes to engage TVET trainers on a part time. The trainer is expected to be available to teach, assess and mentor students. Principal Responsibilities: * Instruct trainees in the specific course(s)/units in adherence to the respective curriculum and occupational standards; * Plan, conduct and assess practicals in the course units assigned; * Develop schemes of work, lesson plans and give lecture notes; * Prepare internal exams, conduct validation and of the exams; * Carry out continuous assessments; * Supervise and assess trainee(s) in the course area; * Mark, grade and enter the grades into ERP for the assigned units; * Supervise trainees on industrial attachment; * Prepare trainees for external exams by providing practical technical skills as required for effective competency acquisition; * Maintaining appropriate records and making them available as required by the directorate and TVET CDACC or any other relevant body; * Adhere to the exam preparation and processing schedule; * Attendance to all class contact hours as assigned. * Mentoring of students; * Examination invigilation, both internal and external; * Monitoring class attendance records; * Any other duty as may be assigned by the HOD or Director. ## Qualifications We are looking for Part-Time Lecturers in the following areas: Counselling Psychology * Bachelor of Arts in Counselling Psychology * Registered and licensed by the Counsellors and Psychologist board * Relevant teaching experience of at least 2 years in TVET institution * Must be a holder of a Certificate in Pedagogy or registered by TVETA as a trainer * 2 years of industry experience will be an added advantage Community Health * Bachelor of Science in Community Health and Development * Relevant teaching experience of at least 2 years in TVET institution * Must be a holder of a Certificate in Pedagogy or registered by TVETA as a trainer * 2 years of industry experience will be an added advantage Health Records & ICT * Bachelor of Science in Health Records and Information Management * Registered and licensed by the Health Records & Information Management Board * Relevant teaching experience of at least 2 years in TVET institution * Must be a holder of a Certificate in Pedagogy or registered by TVETA as a trainer * 2 years of industry experience will be an added advantage Social Work * Bachelor of Arts in Social Work & Community Development * Relevant teaching experience of at least 2 years in TVET institution * Must be a holder of a Certificate in Pedagogy or registered by TVETA as a trainer * 2 years of industry experience will be an added advantage Environmental Sciences * Bachelor of Science in Environmental Sciences * Relevant teaching experience of at least 2 years in TVET institution * Must be a holder of a Certificate in Pedagogy or registered by TVETA as a trainer * 2 years of industry experience will be an added advantage ## Additional Information Your application should include a cover letter detailing why you are the best fit for this position and your CV with relevant skills and experience. Applications will be reviewed on a rolling basis. The closing date will be 30th June 2026 All Amref International University open vacancies are published on our website under the Vacancies page and on our official social media pages. Kindly note that official emails from AmIU will arrive from an @amref.ac.ke or @amref.org address. Amref International University is committed to safeguarding and promoting the welfare of children, young people, and vulnerable adults and expects all staff to share this commitment. Amref International University is dedicated to diversity and is an equal-opportunity employer with a non-smoking environment policy.", "summaryDescription" : "Part-Time Lecturer at Amref Health Africa. Skills: TVET training, Health sciences, Community health. Instruct trainees in course(s)/units. Plan, conduct and assess practicals", "postedDate" : "2026-06-12T13:19:59.000", "createdAt" : "2026-06-14T02:41:16.289", "lastUpdated" : "2026-06-15T05:16:22.114", "ingestTimestamp" : "2026-06-14T02:41:16.289", "mongoId" : "6a2c72af74d8ee00a09316a7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Curriculum adherence", "Practical assessment", "Exam preparation", "Continuous assessment", "Trainee supervision", "Grade entry", "Industrial supervision", "Competency preparation", "Record maintenance", "Exam processing", "Class attendance monitoring", "Examination invigilation", "TVET training", "Health sciences", "Community health", "Teaching", "Assessing", "Mentoring", "Public health", "Primary Health care", "TVET curriculum", "Occupational standards", "TVET CDACC", "Certificate in Pedagogy", "Registered by TVETA as a trainer", "Registered and licensed by the Counsellors and Psychologist board", "Registered and licensed by the Health Records & Information Management Board", "ERP" ], "skillCount" : 28, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 908.821, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "69c94a7c9bc74574cbbb461d", "title" : "Learning Performance Coordinator / Data visualization engineer", "company" : "Amazon", "industry" : "Leadership Development Training, Training, no business category", "salary" : { "min" : 135000.0, "max" : 215000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Visualization Engineer in Osasco, Brazil, adjusted for Amazon's size and the logistics industry." }, "location" : "Osasco, Sao Paulo, BRA", "locations" : [ "Osasco, Sao Paulo, BRA" ], "timestamp" : "2026-06-14T23:49:40.418", "fingerprint" : "a99b138b48f9f340574aac3fadf381cb88c8b3d25d6ec3c864b0e0ffdedf841f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3198592/apply", "externalId" : "a81fac31-624d-425e-bb0f-f3ac73a50069", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Osasco", "state" : "Sao Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5324859,-46.7916801" } ], "locationText" : "Osasco, Sao Paulo, Brazil", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "AI, Machine Learning, Tableau, Quicksight, SQL, R, Python", "professionalSkills" : [ "Data visualization", "Data analysis", "Business intelligence" ], "hardSkillsList" : [ "Data modeling", "Statistical modeling", "Machine learning" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "majorSkills" : "Data visualization, Machine learning, Data analysis", "majorSkillsList" : [ "Data visualization", "Machine learning", "Data analysis" ], "coreResponsibilities" : "Develop and maintain dashboards, Develop data visualization solutions, Apply AI tools, Apply Machine Learning tools, Build innovative solutions, Build data-driven solutions, Translate complex datasets, Deliver scalable analytical solutions, Monitor performance indicators, Manage performance indicators, Ensure data accuracy, Ensure data consistency, Ensure data relevance", "teamCollaboration" : "Learning managers; Learning coordinators; Internal stakeholders", "domainKnowledge" : "Learning performance; Operational performance; Training effectiveness", "domainList" : [ "learning-performance", "operational-performance", "training-effectiveness" ], "domainSpecificKnowledge" : [ "Learning performance", "Operational performance", "Training effectiveness" ], "toolProficiency" : [ "Tableau", "Quicksight" ], "innovationCreativity" : "Design innovative solutions", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "Bachelor's degree in computer science, engineering, mathematics or equivalent, Bachelor's degree and data scientist experience", "qualificationsPreferred" : "Experience with machine learning (ML) tools and methods, Knowledge of statistical modeling, Experience with data visualization using Tableau, Quicksight, or similar tools, Knowledge of database query technologies (SQL), Experience utilizing R or Python", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon aims to exceed the expectations of our customers by ensuring that their orders are picked up and delivered quickly, accurately, and in the most cost-effective way. We are looking for creative leaders with a passion for highly complex challenges, a knack for problem solving, and the ability to thrive in a fast-paced environment. Amazon Transportation is looking for a Learning Performance Coordinator to support the Learning team in building data-driven solutions that enhance operational performance and training effectiveness across the delivery network. As Learning Performance Coordinator, you will be responsible for developing and maintaining dashboards and data visualization solutions that support the Learning team and internal stakeholders in tracking key performance indicators. You will leverage AI and Machine Learning tools to design innovative solutions that drive efficiency and impact across learning initiatives. In this role, you will translate complex data into clear, actionable insights, enabling strategic decision-making and continuous improvement within the organization. Key job responsibilities Develop and maintain dashboards and data visualization solutions to support the Learning team and internal stakeholders. Apply AI and Machine Learning tools to build innovative, data-driven solutions. Translate complex datasets into clear, actionable insights for operational and strategic decision-making. Partner with Learning managers and coordinators to identify data needs and deliver scalable analytical solutions. Monitor and manage performance indicators, ensuring data accuracy, consistency, and relevance across reporting tools. Basic Qualifications: - Bachelor's degree in computer science, engineering, mathematics or equivalent, or Bachelor's degree and data scientist experience Preferred Qualifications: - Experience with machine learning (ML) tools and methods - Knowledge of statistical modeling - Experience with data visualization using Tableau, Quicksight, or similar tools - Knowledge of database query technologies (SQL) - Experience utilizing R or Python Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Learning Performance Coordinator / Data visualization engineer at Amazon. Skills: Data visualization, Machine learning, Data analysis. Develop and maintain dashboards. Develop data visualization solutions", "postedDate" : "2026-06-13T02:19:44.266", "createdAt" : "2026-06-13T02:19:44.266", "lastUpdated" : "2026-06-14T23:49:40.418", "ingestTimestamp" : "2026-06-13T02:19:44.266", "mongoId" : "69c94a7c9bc74574cbbb461d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3198592/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Statistical modeling", "Machine learning", "Data visualization", "Data analysis", "Business intelligence", "Learning performance", "Operational performance", "Training effectiveness", "Tableau", "Quicksight" ], "skillCount" : 11, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "_score" : 907.3158, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a26569674d8ee00a021d51e", "title" : "Course Lecturer - URBP 640 Introduction to Planning Statistics", "company" : "McGill University", "salary" : { "min" : 3941.34, "max" : 3941.34, "currency" : "USD", "frequency" : "yearly" }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-12T22:49:49.209", "fingerprint" : "18a8aad23088bf589851bb349d3c96dfbbcca4a2be963f6add91719a29caf719", "source" : "workday", "language" : "en", "applyUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/MacDonald-Harrington/Course-Lecturer---URBP-640-Introduction-to-Planning-Statistics_JR0000077387", "externalId" : "JR0000077387", "locationPoint" : "56.1304,-106.3468", "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Canada", "employmentType" : "PART_TIME", "technicalSkills" : "R", "professionalSkills" : [ "Urban planning", "Policy research" ], "hardSkillsList" : [ "Statistical analysis", "Sampling", "Chi-square", "T-tests", "Correlation", "Bivariate statistics", "Multivariate statistics", "Parametric statistics", "Non-parametric statistics", "Outlier detection", "Normality testing" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Sampling", "level" : "intermediate" }, { "name" : "Chi-square", "level" : "intermediate" }, { "name" : "T-tests", "level" : "intermediate" }, { "name" : "Correlation", "level" : "intermediate" }, { "name" : "Bivariate statistics", "level" : "intermediate" }, { "name" : "Multivariate statistics", "level" : "intermediate" }, { "name" : "Parametric statistics", "level" : "intermediate" }, { "name" : "Non-parametric statistics", "level" : "intermediate" }, { "name" : "Outlier detection", "level" : "intermediate" }, { "name" : "Normality testing", "level" : "intermediate" } ], "majorSkills" : "Statistical analysis, Urban planning, R programming", "majorSkillsList" : [ "Statistical analysis", "Urban planning", "R programming" ], "coreResponsibilities" : "Give 2-hour lectures, Supervise 3-hour lab sessions", "domainKnowledge" : "Urban planning; Policy research", "domainList" : [ "urban-planning", "policy-research" ], "domainSpecificKnowledge" : [ "Urban planning", "Policy research" ], "toolProficiency" : [ "R" ], "communicationSkills" : "Verbal communication; Written communication", "specialRequirements" : "Authorized to work in Canada, Willing to work in Quebec", "qualificationsBasic" : "Extensive applied statistical analysis experience, Expertise in R, Previous completion of URBP statistics courses or equivalent, PhD completed or in progress", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Please refer to the[How to Apply for a Job (for External Candidates)](https://www.mcgill.ca/hr/files/hr/apply_at_mcgill_university_-_guide_for_external_candidates_en.pdf) job aid for instructions on how to apply.** **If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** Course will be taught via 2-hour lectures (which the instructor will give) and 3-hour lab sessions (which a teaching assistant will directly give and which the instructor will supervise). - 1 credit course Topics to include: descriptive and inferential statistics; sampling; chi-square; t-tests; ANOVA; correlation; bivariate regression; statistical significance; standard error; confidence intervals; parametric and non-parametric statistical tests; statistical diagnostics; outlier detection and removal; normality **Teaching Qualification Requirements:** \\- Extensive experience with applied statistical analysis in urban planning and policy research, including via peer-reviewed journal articles \\- Expertise in the R statistical programming language \\- Successful previous completion of URBP bivariate and multivariate statistics courses or equivalent \\- PhD completed or in progress preferred Salary: $3,941.34 Dates: October 5, 2026 to November 9, 2026 - Mondays 9:30 am to 11:30 am School of Urban Planning ** _Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located._** **_McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing._** **Hiring Unit:** School of Urban Planning **Course Title:** Introduction to Planning Statistics **Subject Code:** URBP 640 **Location:** Macdonald Harrington Building **Schedule:** Mondays from 9:30 am to 11:30 am **Deadline to Apply:** 2026-06-12 _**McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence,[ accessibilityrequest.hr@mcgill.ca](mailto:accessibilityrequest.hr@mcgill.ca).**_", "summaryDescription" : "Course Lecturer - URBP 640 Introduction to Planning Statistics at McGill University. Skills: Statistical analysis, Urban planning, R programming. Give 2-hour lectures. Supervise 3-hour lab sessions", "postedDate" : "2026-06-05T14:42:17.271", "createdAt" : "2026-06-11T14:42:17.256", "lastUpdated" : "2026-06-12T22:49:49.209", "ingestTimestamp" : "2026-06-11T14:42:17.256", "mongoId" : "6a26569674d8ee00a021d51e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/MacDonald-Harrington/Course-Lecturer---URBP-640-Introduction-to-Planning-Statistics_JR0000077387", "salaryAnnualMin" : 3941, "salaryAnnualMax" : 3941, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Sampling", "Chi-square", "T-tests", "Correlation", "Bivariate statistics", "Multivariate statistics", "Parametric statistics", "Non-parametric statistics", "Outlier detection", "Normality testing", "Urban planning", "R programming", "Policy research", "R" ], "skillCount" : 15, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 892.1626, "daysOld" : 7, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2d48db74d8ee00a0b590a5", "title" : "Lecturer - Pharmacy", "company" : "Griffith University", "industry" : "Higher Education", "salary" : { "min" : 117076.0, "max" : 139031.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "South Port, QLD, Australia", "locations" : [ "South Port", "QLD", "Australia" ], "certifications" : [ "Professional registration as Pharmacist", "Credentialling for expanded scope of practice" ], "timestamp" : "2026-06-15T03:27:14.855", "fingerprint" : "1d89e92b2b3496b9736327721ff12d8ecc3bae20d8fca456e4ca865a2bfde8d2", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/GriffithUniversity/744000131589789-lecturer-pharmacy", "externalId" : "744000131589789", "industryFunction" : { }, "structuredLocations" : [ { "city" : "South Port", "state" : "Queensland", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-22.1646782,144.5844903" } ], "locationText" : "South Port, Queensland, Australia", "employmentType" : "PART_TIME", "experienceLevel" : "not-applicable", "professionalSkills" : [ "Pharmacy practice", "Curriculum development", "Learning evaluation", "Student engagement", "Teaching practice", "Course management", "Program support", "Employability initiatives" ], "hardSkillsList" : [ "Pharmacy curriculum", "Pharmacy practice", "Therapeutics", "Vaccination delivery", "Pharmacist prescribing" ], "hardSkills" : [ { "name" : "Pharmacy curriculum", "level" : "intermediate" }, { "name" : "Pharmacy practice", "level" : "intermediate" }, { "name" : "Therapeutics", "level" : "intermediate" }, { "name" : "Vaccination delivery", "level" : "intermediate" }, { "name" : "Pharmacist prescribing", "level" : "intermediate" } ], "majorSkills" : "Pharmacy practice, Therapeutics, Teaching, Curriculum development", "majorSkillsList" : [ "Pharmacy practice", "Therapeutics", "Teaching", "Curriculum development" ], "coreResponsibilities" : "Facilitate delivery of curriculum, Develop course material, Deliver course material, Develop assessment, Deliver assessment, Foster learning and teaching evaluation, Engage in learning and teaching evaluation, Identify ongoing education improvements, Promote student experience, Encourage active participation, Encourage engagement in learning, Improve teaching practice, Participate in leadership activities, Manage courses, Support pharmacy programs, Promote student learning experiences, Engage with industry stakeholders, Engage with community stakeholders, Develop work integrated learning, Support employability initiatives, Be a leading example, Act to reflect fairness, Act to reflect ethics, Act to reflect professionalism, Communicate to reflect fairness, Communicate to reflect ethics, Communicate to reflect professionalism", "teamCollaboration" : "Pharmacy team; Program convenors; Course convenors; Industry stakeholders; Community stakeholders", "projectManagementSkills" : [ "Course management" ], "domainKnowledge" : "Pharmacy practice; Therapeutics; Vaccination; Pharmacist prescribing; Pharmacy curriculum", "domainList" : [ "pharmacy-practice", "therapeutics", "vaccination", "pharmacist-prescribing", "pharmacy-curriculum" ], "domainSpecificKnowledge" : [ "Pharmacy practice", "Therapeutics", "Vaccination", "Pharmacist prescribing", "Pharmacy curriculum" ], "continuousLearning" : "Professional development; Ongoing education improvements", "innovationCreativity" : "Innovative teaching", "qualificationsBasic" : "Degree in Pharmacy, 3+ years clinical pharmacy, Professional registration as Pharmacist, Working towards credentialling", "qualificationsPreferred" : "Teaching therapeutics higher education, Teaching pharmacy practice higher education, Technology enhanced learning experience, Experience delivering vaccinations, Experience delivering related training", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Every institution values excellence. What matters most is why. Griffith was created to be a different type of university. You’ll find we’re about leading research, academic excellence, and the transformative power of education. But what sets us apart is why those things matter and how you’ll achieve them. Why? Griffith brings together exceptional minds like yours from across the globe and from all walks of life. Here, we do incredible work, questioning and challenging, always in the pursuit of excellence. The [School of Pharmacy and Medical Sciences](https://www.griffith.edu.au/griffith-health/school-pharmacy-medical-sciences) is currently recruiting for teaching-focused, passionate and dedicated Lecturer (Level B) on a part-time basis within Pharmacy. As a Lecturer you will be highly committed to undertaking innovative and efficient teaching and will actively and effectively supervise honours and postgraduate research student projects. This teaching focused position will require the appointee to undertake teaching in pharmacy practice, therapeutics, and related areas, including vaccination and pharmacist prescribing. In addition, the appointee will be required to work on pharmacy curriculum matters as part of the Pharmacy team reporting to the Head of School of Pharmacy and Medical Sciences. Key responsibilities of this position include: * Facilitate delivery of contemporary curriculum that aligns with and adapts to emerging pharmacist roles. * Develop and deliver course material and assessment informed by current clinical and pharmacy knowledge. * Foster and engage in learning and teaching evaluation (scholarship) and identify ongoing education improvements in consultation with program and course convenors. * Promote an outstanding student experience across the spectrum of the University’s undergraduate, and postgraduate program suite and encourage active participation and engagement in learning and teaching activities. * Continuously improve teaching practice through professional development and critical reﬂection. * Participate in relevant leadership activities including course management and pharmacy program support. * Promote and enhance student learning experiences through engagement with industry and community stakeholders to develop work integrated learning opportunities and support employability initiatives. * Be a leading example of the principles and values embodied in the University’s Code of Conduct, and behave, act and communicate at all times to reﬂect fairness, ethics and professionalism. This is a part-time (0.8FTE), continuing position based at the Griffith University Gold Coast. As Griffith is a multi-site university you may be required to work across other locations. Griffith University’s sites are located on the lands of the Yugarabul, Yuggera, Jagera, Turrbal, Yugambeh and Kombumerri peoples. Salary Range The full time equivalent base salary will be Academic Level B range $117,076 - $139,031 per annum + 17% superannuation. The total FTE package will be in the range $136,979 - $162,667 per annum. ## Qualifications To be successful in this role, you will have excellent communication and interpersonal skills with a demonstrated commitment to Pharmacy practice. In addition to the above, you will hold or be able to demonstrate: * A degree in Pharmacy with substantial professional experience relevant to the discipline, including at least 3 years working within a clinical pharmacy environment. * Prior Experience with teaching therapeutics and / or pharmacy practice in a higher education setting, and technology enhanced learning is desirable. * Current professional registration as a Pharmacist with the Australian Health Practitioner Regulation Agency (Ahpra) and already have or be working towards credentialling for expanded scope of practice. * Experience delivering vaccinations and related training is desirable. ## Additional Information Why Griffith? As a values-led organisation, at Griffith University, we've worked hard to create a dynamic and strong organisational culture. We offer: * 50% fee discount for work related post graduate Griffith degrees * Mix of on campus and work from home options available and a supportive work environment * Salary packaging options and corporate health discounts How to apply At Griffith, we’re committed to providing a safe and inclusive environment for all - whoever you are and wherever you’re from. If you require any accommodations, we welcome you to let us know so we can work with you to participate fully in our recruitment experience. Griffith University values diversity, inclusion and flexibility and we encourage Aboriginal and Torres Strait Islander, and people of all backgrounds to apply. For more information please visit our [Equity, Diversity and Inclusion](https://www.griffith.edu.au/equity#:~:text=At%20Griffith%20we%20understand%20that,safe%2C%20supportive%20and%20productive%20environment) page. Our University is committed to fostering a safe, respectful and inclusive community for all. In alignment with the National Higher Education Code to Prevent and Respond to Gender-based Violence (2025), Griffith University includes a declaration as part of the recruitment journey to uphold the values and standards of our community. Griffith University also maintains a strict zero-tolerance policy against all forms of modern slavery. For more information, please refer to Griffith’s [Modern Slavery Policy](https://www.griffith.edu.au/data/assets/pdf_file/0037/1687357/Modern-Slavery-Policy.pdf). Please submit your application online and ensure it includes the following: * A covering letter outlining your suitability for the role (please refer to the qualifications above and the [position description](https://c.smartrecruiters.com/sr-company-attachments-prod-aws-dc5/6270a42b9da2f23e08f16ddd/b1ff2b59-ee62-4a3d-8d28-26f8adb69c03?r=s3-eu-central-1)) * Current curriculum vitae/resume including full contact details * Names and contact details of at least three professional referees (no contact will be made without your permission) Applicants must have unrestricted working rights. VISA sponsorship is not available for this position. For further information specifically about this role, please contact Head of School for Pharmacy and Medical Sciences, Associate Professor Jason Peart on [hos-pam@griffith.edu.au](mailto:hos-pam@griffith.edu.au). For application and recruitment advice, please contact Jinita Dhall, Talent Acquisition Partner at [j.dhall@griffith.edu.au](mailto:j.dhall@griffith.edu.au). Closing date: Thursday, 25 June 2026 at 11:59pm AEST. All applications must be submitted online. Please allow at least 1 – 2 weeks from the closing date to expect an application update.", "summaryDescription" : "Lecturer - Pharmacy at Griffith University. Skills: Pharmacy practice, Therapeutics, Teaching, Curriculum development. Facilitate delivery of curriculum. 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Team projects", "domainKnowledge" : "Bachelor of Animation Programme; National qualification standards; Local qualification standards; Te Tiriti O Waitangi", "domainList" : [ "bachelor-of-animation-programme", "national-qualification-standards", "local-qualification-standards", "te-tiriti-o-waitangi" ], "domainSpecificKnowledge" : [ "Bachelor of Animation Programme", "National qualification standards", "Local qualification standards", "Te Tiriti O Waitangi" ], "toolProficiency" : [ "Adobe PS", "Adobe AE", "Animate", "Toonboom", "Maya" ], "documentationSkills" : "Student data; Assessment results; Attendance; Student-at-risk", "continuousLearning" : "Adult teaching skillset; Professional development", "innovationCreativity" : "Experimental animation", "outcomesObjectives" : "Deliver outcomes", "qualificationsBasic" : "Masters level qualification or higher in animation or related field, Supplementary industry experience, Experience with a range of research methodologies, Experience supervising research, Skills and experience with 3D modelling, Skills and experience with texturing, Skills and experience with preproduction skills, Experience working in multi-disciplinary teams, Confidence in coordinating and supervising team projects, Ability to connect with students through a variety of delivery methods, Provide basic pastoral care and support, Keen to expand adult teaching skillset", "qualificationsPreferred" : "Game art and design", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Yoobee Colleges, we believe learning should be defined by the exceptional. New Zealand’s largest specialist creative and technology college; we’ve been fuelling the creative and tech industries for over 30 years with talented Animators, Filmmakers, Designers, Techies, and Game Developers. We offer online delivery, alongside our campuses based in Auckland, Wellington, Rotorua and Christchurch. To find out more about us, please visit Animation Lecturer Location: Auckland Full-time | Permanent | Yoobee Auckland About the role: An amazing opportunity to join our growing Yoobee Auckland campus to support in the delivery of our Bachelor of Animation Programme. This role is responsible for the delivery and assessment of courses in the programme. You will be walking into an energetic environment where value is placed on delivering outcomes rather than micro-managing work and tasks. You will be given autonomy to work in a way that gets the best results and will be expected to take responsibility and make things happen. Some of your key responsibilities will be to: * Deliver course content in an engaging manner * Participate in the continuous improvement of course content and teaching resources * Deliver assessments and evaluate to prescribed national and local qualification standards * Assist with the care and maintenance of classrooms/labs and teaching equipment and resources including marketing and campus events * Record of accurate student data, assessment results, attendance, student-at-risk and other required documentation ## Qualifications About You: You will describe yourself as an accomplished animation practitioner who is enthusiastic, positive, patient, and motivated self-starter who has a passion for sharing knowledge and trying new things. Your exceptional communication and time management skills, along with the ability to connect and build relationships will be the key to your success! To be successful in this role, you will have experience in some or all the following key discipline skills: * Adobe PS, AE * Animate or Toonboom * Maya - Animating/Texturing/Modelling * Experience with different animation styles and experimental animation * Basic modelling – Lighting, Camera Staging, pre-viz, rendering. * Breaking down pipelines * Concept Art / Visual Communication Design Theory * Character Design In addition you will have: * A Masters level qualification or higher in animation or related field and supplementary industry experience * Experience with a range of research methodologies and ideally experience supervising research * Skills and experience with 3D modelling, texturing, and preproduction skills, e.g., design, storyboards animatics * Experience working in multi-disciplinary teams, and confidence in coordinating and supervising team projects * An ability to connect with students through a variety of delivery methods and provide basic pastoral care and support * Keen to expand your adult teaching skillset as part of your professional development * Game art and design would be an advantage * Commitment to Te Tiriti O Waitangi ## Additional Information Why Work with Us? Yoobee Colleges prides itself on supporting a diverse and inclusive culture - open to inputs from creative people of all genders, ethnicity, identity, thought, and experiences. We are fast movers, action-oriented, keen innovators, and quick thinkers who enjoy a workplace that is inspiring and fun. * Be a part of NZ’s largest specialist creative & technology college * Industry-leading campuses all equipped with the latest tech and equipment * Rewarding opportunity to support students in their journey pursuing creative and tech industries, with a focus on business analytics * Strong commitment to your professional growth & development * Amazing work culture that is highly collaborative and supportive To Apply: To apply for this position, please submit your resume and a cover letter detailing your relevant experience and interest in the role. Suitable candidates will be contacted as applications are received. Questions about your identity help us appreciate the diversity of individuals looking to work with us, ensuring we’re attracting applications from people with identities and perspectives that are as diverse as our students. We are an equal opportunity employer. As part of our commitment to equity, we work to ensure a fair and consistent interview process. We celebrate diversity and we are committed to an inclusive work environment.", "summaryDescription" : "Animation Lecturer at Yoobee Colleges. Skills: Animation, Teaching, Assessment. Deliver course content. 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The Consultant will work with diverse clients ranging from small and medium size enterprises to Fortune 100 firms. Working in a t", "summaryDescription" : "Consultant - Data Visualization and User Experience at Pyrovio. Skills: data visualization, user interface, user experience, data storytelling. 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New Zealand’s largest specialist creative and technology college; we’ve been fuelling the creative and tech industries for over 30 years with talented Animators, Filmmakers, Designers, Techies, and Game Developers. We offer online delivery, alongside our campuses based in Auckland, Wellington, Rotorua and Christchurch. To find out more about us, please visit Animation Lecturer Location: Christchurch Full-time | Permanent | Yoobee Christchurch About the role: An amazing opportunity to join our growing Yoobee Christchurch campus to support in the delivery of our Bachelor of Animation Programme. This role is responsible for the delivery and assessment of courses in the programme. You will be walking into an energetic environment where value is placed on delivering outcomes rather than micro-managing work and tasks. You will be given autonomy to work in a way that gets the best results and will be expected to take responsibility and make things happen. Some of your key responsibilities will be to: * Deliver course content in an engaging manner * Participate in the continuous improvement of course content and teaching resources * Deliver assessments and evaluate to prescribed national and local qualification standards * Assist with the care and maintenance of classrooms/labs and teaching equipment and resources including marketing and campus events * Record of accurate student data, assessment results, attendance, student-at-risk and other required documentation ## Qualifications About You: You will describe yourself as an accomplished animation practitioner who is enthusiastic, positive, patient, and motivated self-starter who has a passion for sharing knowledge and trying new things. Your exceptional communication and time management skills, along with the ability to connect and build relationships will be the key to your success! To be successful in this role, you will have experience in some or all the following key discipline skills: * Adobe PS, AE * Animate or Toonboom * Maya - Animating/Texturing/Modelling * Experience with different animation styles and experimental animation * Basic modelling – Lighting, Camera Staging, pre-viz, rendering. * Breaking down pipelines * Concept Art / Visual Communication Design Theory * Character Design In addition you will have: * A Masters level qualification or higher in animation or related field and supplementary industry experience * Experience with a range of research methodologies and ideally experience supervising research * Skills and experience with 3D modelling, texturing, and preproduction skills, e.g., design, storyboards animatics * Experience working in multi-disciplinary teams, and confidence in coordinating and supervising team projects * An ability to connect with students through a variety of delivery methods and provide basic pastoral care and support * Keen to expand your adult teaching skillset as part of your professional development * Game art and design would be an advantage * Commitment to Te Tiriti O Waitangi ## Additional Information Why Work with Us? Yoobee Colleges prides itself on supporting a diverse and inclusive culture - open to inputs from creative people of all genders, ethnicity, identity, thought, and experiences. We are fast movers, action-oriented, keen innovators, and quick thinkers who enjoy a workplace that is inspiring and fun. * Be a part of NZ’s largest specialist creative & technology college * Industry-leading campuses all equipped with the latest tech and equipment * Rewarding opportunity to support students in their journey pursuing creative and tech industries, with a focus on business analytics * Strong commitment to your professional growth & development * Amazing work culture that is highly collaborative and supportive To Apply: To apply for this position, please submit your resume and a cover letter detailing your relevant experience and interest in the role. Suitable candidates will be contacted as applications are received. Questions about your identity help us appreciate the diversity of individuals looking to work with us, ensuring we’re attracting applications from people with identities and perspectives that are as diverse as our students. We are an equal opportunity employer. As part of our commitment to equity, we work to ensure a fair and consistent interview process. We celebrate diversity and we are committed to an inclusive work environment.", "summaryDescription" : "Animation Lecturer at Yoobee Colleges. Skills: Animation delivery, Assessment delivery, Student support. Deliver course content. Participate in continuous improvement", "postedDate" : "2026-06-10T23:03:01.000", "createdAt" : "2026-06-12T00:57:03.599", "lastUpdated" : "2026-06-14T09:16:49.799", "ingestTimestamp" : "2026-06-12T00:57:03.599", "mongoId" : "6a2a6e1174d8ee00a0642ebe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Animation styles", "Experimental animation", "Basic modelling", "Patient", "Positive", "Animation delivery", "Assessment delivery", "Student support", "Animation practitioner", "Visual communication", "Design theory", "Character design", "Storyboards", "Animatics", "Bachelor of Animation Programme", "National qualification standards", "Te Tiriti O Waitangi", "Adobe PS", "Adobe AE", "Animate", "Toonboom", "Maya" ], "skillCount" : 22, "jobCategory" : "other", "jobSubcategory" : "Teaching", "dataQualityScore" : 1.0, "_score" : 862.3404, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education" }, { "id" : "6a26569474d8ee00a021d44b", "title" : "Course Lecturer - CANC 621", "company" : "McGill University", "industry" : "Education", "salary" : { "min" : 45000.0, "max" : 75000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a part-time Course Lecturer in Canada, adjusted for mid-seniority and the education industry." }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-12T17:29:09.183", "fingerprint" : "ea84750a8816b408e80dc1cfbd8c15c7ea3b0024ae582e1cbefd126c6777136c", "source" : "workday", "language" : "en", "applyUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/Education-Building/Course-Lecturer---CANC-621_JR0000077589", "externalId" : "JR0000077589", "industryFunction" : { }, "locationPoint" : "56.1304,-106.3468", "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Canada", "employmentType" : "PART_TIME", "professionalSkills" : [ "Psychosocial oncology research", "Cancer research disciplines", "Interdisciplinary learning" ], "hardSkillsList" : [ "Psychosocial intervention evaluation", "Health communication analysis", "Patient-provider relationship assessment", "Long-term adaptation research", "Symptom management research", "Distress screening research", "Primary prevention research", "Secondary prevention research", "Promoting healthy behaviors", "Reducing risk factors", "Enhancing screening participation" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Psychosocial intervention evaluation", "level" : "intermediate" }, { "name" : "Health communication analysis", "level" : "intermediate" }, { "name" : "Patient-provider relationship assessment", "level" : "intermediate" }, { "name" : "Long-term adaptation research", "level" : "intermediate" }, { "name" : "Symptom management research", "level" : "intermediate" }, { "name" : "Distress screening research", "level" : "intermediate" }, { "name" : "Primary prevention research", "level" : "intermediate" }, { "name" : "Secondary prevention research", "level" : "intermediate" }, { "name" : "Promoting healthy behaviors", "level" : "intermediate" }, { "name" : "Reducing risk factors", "level" : "intermediate" }, { "name" : "Enhancing screening participation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Psychosocial oncology, Cancer sciences, Course coordination", "majorSkillsList" : [ "Psychosocial oncology", "Cancer sciences", "Course coordination" ], "coreResponsibilities" : "Serve as Course Lecturer, Prepare Pillar-specific content, Identify guest lecturers, Select research papers, Attend guest lecturer sessions, Coordinate with course coordinators, Align learning objectives, Align course structure, Align assessment strategies, Develop course syllabus, Refine learning activities, Evaluate student work, Provide student consultation, Hold office hours, Administer course responsibilities, Attend course sessions, Attend student presentations", "teamCollaboration" : "Collaborate with co-coordinators; Work with other coordinators", "domainKnowledge" : "Psychosocial oncology; Cancer research; Cancer biology; Cancer therapeutics; Cancer care; Cancer epidemiology; Global cancer control; Interdisciplinary cancer research; Psychological issues cancer; Behavioral issues cancer; Emotional issues cancer; Social issues cancer; Caregiver issues cancer; Disease trajectory; End of life care; Health communication; Patient-provider relationships; Shared decision-making; Psychosocial intervention; Quality of life; Psychotherapy; Support groups; Meaning-centered therapy; Cognitive-behavioral therapy; Mindfulness therapy; Clinical hypnosis; Patient outcomes; Caregiver outcomes; Cancer prevention; Screening participation; Early detection care; Follow-up care", "domainList" : [ "psychosocial-oncology", "cancer-research", "cancer-biology", "cancer-therapeutics", "cancer-care", "cancer-epidemiology", "global-cancer-control", "interdisciplinary-cancer-research", "psychological-issues-cancer", "behavioral-issues-cancer", "emotional-issues-cancer", "social-issues-cancer", "caregiver-issues-cancer", "disease-trajectory", "end-of-life-care", "health-communication", "patient-provider-relationships", "shared-decision-making", "psychosocial-intervention", "quality-of-life", "psychotherapy", "support-groups", "meaning-centered-therapy", "cognitive-behavioral-therapy", "mindfulness-therapy", "clinical-hypnosis", "patient-outcomes", "caregiver-outcomes", "cancer-prevention", "screening-participation", "early-detection-care", "follow-up-care" ], "domainSpecificKnowledge" : [ "Psychosocial oncology", "Cancer research", "Cancer biology", "Cancer therapeutics", "Cancer care", "Cancer epidemiology", "Global cancer control", "Interdisciplinary cancer research", "Psychological issues cancer", "Behavioral issues cancer", "Emotional issues cancer", "Social issues cancer", "Caregiver issues cancer", "Disease trajectory", "End of life care", "Health communication", "Patient-provider relationships", "Shared decision-making", "Psychosocial intervention", "Quality of life", "Psychotherapy", "Support groups", "Meaning-centered therapy", "Cognitive-behavioral therapy", "Mindfulness therapy", "Clinical hypnosis", "Patient outcomes", "Caregiver outcomes", "Cancer prevention", "Screening participation", "Early detection care", "Follow-up care" ], "specialRequirements" : "Authorized to work in Canada, Willing to work in Quebec", "outcomesObjectives" : "Identify cutting-edge cancer research; Discuss cutting-edge cancer research; Synthesize new research findings; Develop critical thinking skills; Evaluate research results; Analyze research methods", "qualificationsBasic" : "Demonstrated expertise in Pillar 4–aligned research, Evidence of teaching experience, PhD or equivalent terminal degree, Experience teaching or coordinating graduate-level courses, Fluency in English", "qualificationsPreferred" : "Fluency in French", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Please refer to the[How to Apply for a Job (for External Candidates)](https://www.mcgill.ca/hr/files/hr/apply_at_mcgill_university_-_guide_for_external_candidates_en.pdf) job aid for instructions on how to apply.** **If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** The Interdisciplinary Cancer Sciences Program of the Faculty of Medicine and Health Sciences, McGill University, is seeking applications for a Course Lecturer for the 2026-2027 academic year to teach Course **– CANC 621 D1**. Seminars in Cancer Sciences course, an interdisciplinary, PhD level course. This posting is specifically for the Pillar 4 (Psychosocial Oncology) Course Lecturer role. The course is co-coordinated by four Course Coordinators, one representing each ICSP pillar. The successful candidate will serve as the Pillar 4 (Psychosocial Oncology) Course Lecturer working collaboratively with the other three coordinators to deliver a cohesive and interdisciplinary learning experience. **CANC 621 D1 – Seminars in Cancer Sciences** is a multi-term course offered over the Fall term. The course exposes ICSP PhD students to a broad range of cancer research disciplines through attendance at seminars by leading cancer researchers in different fields as well as in-class journal clubs and discussion. The course will focus on the following cancer research disciplines: cancer biology, cancer therapeutics and care, cancer epidemiology and global cancer control, and psychosocial oncology. By the end of this course, students will have gained a better understanding of the types of cancer research conducted within and outside of students' area of expertise. Specific learning outcomes include: * Identify and discuss cutting-edge cancer research in different disciplines * Synthesize new research findings to a multidisciplinary audience. * Develop critical thinking skills: evaluate and analyze the results and methods used in inter-disciplinary cancer research **For Pillar 4 – Psychosocial Oncology, course content may include:** * Research on the psychological, behavioral, emotional, and social issues affecting people with cancer and their caregivers throughout the disease trajectory i.e., from diagnosis to end of life. This includes distress screening, symptom management, and survivorship care planning. * Research addressing specific concerns such as fear of cancer recurrence, long-term adaptation after treatment, and the impact of health communication, patient–provider relationships, and shared decision-making that impacts psychological well-being. * Research on the effectiveness of psychosocial intervention to improve quality of life e.g., psychotherapy, support groups, meaning-centered therapy, cognitive-behavioral therapy, mindfulness, and clinical hypnosis, all in improving patient and caregiver outcomes. * Research on primary and secondary prevention from a psychosocial perspective, including promoting healthy behaviors, reducing risk factors, enhancing screening participation, and improving adherence to early detection and follow-up care **RESPONSIBILITIES:** * Serve as Course Lecturer for Pillar 4 - Psychosocial Oncology, contributing to course leadership alongside three co-coordinators (one per pillar). * Prepare and deliver Pillar‑specific course content, or identify and invite guest lecturers, and select relevant research papers. * Attend sessions led by Pillar 4 guest lecturers. * Coordinate and communicate regularly with the other course coordinators to ensure alignment of learning objectives, course structure, and assessment strategies. * Contribute to the development and refinement of the course syllabus and learning activities, in collaboration with co‑coordinators. * Evaluation of student work for Pillar 4, in accordance with McGill assessment policies. * Provide reasonable student consultation and hold office hours as required * Administer course‑related responsibilities as required under the Course Lecturer Agreement (e.g., grading, review meetings, course feedback) * Attend assigned course sessions, including student presentations **Teaching Qualification Requirements:** * Demonstrated expertise in Pillar 4–aligned research and/or professional practice * Evidence of teaching experience or training at the undergraduate or graduate level * Strong communication, organizational, and collaboration skill **E ducation** * PhD or equivalent terminal degree in a field relevant to psychosocial oncology **E xperience** * Experience teaching or coordinating graduate‑level courses * Familiarity with interdisciplinary or team‑taught course models * Experience working with students from diverse academic and disciplinary backgrounds **O****t her** Fluency in English and French (written and verbal) preferred] **_Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located._** **_McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing._** **_Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located._** **_McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing._** **Hiring Unit:** Interdepartmental Studies **Course Title:** Seminars in Cancer Series **Subject Code:** CANC 621 D1 **Location:** Education **Schedule:** Thursdays 9:05-11:05 **Deadline to Apply:** 2026-06-12 _**McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence,[ accessibilityrequest.hr@mcgill.ca](mailto:accessibilityrequest.hr@mcgill.ca).**_", "summaryDescription" : "Course Lecturer - CANC 621 at McGill University. Skills: Psychosocial oncology, Cancer sciences, Course coordination. Serve as Course Lecturer. Prepare Pillar-specific content", "postedDate" : "2026-06-07T12:04:50.972", "createdAt" : "2026-06-11T12:04:50.900", "lastUpdated" : "2026-06-12T17:29:09.183", "ingestTimestamp" : "2026-06-11T12:04:50.900", "mongoId" : "6a26569474d8ee00a021d44b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/Education-Building/Course-Lecturer---CANC-621_JR0000077589", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Psychosocial intervention evaluation", "Health communication analysis", "Patient-provider relationship assessment", "Long-term adaptation research", "Symptom management research", "Distress screening research", "Primary prevention research", "Secondary prevention research", "Promoting healthy behaviors", "Reducing risk factors", "Enhancing screening participation", "Critical thinking", "Psychosocial oncology", "Cancer sciences", "Course coordination", "Psychosocial oncology research", "Cancer research disciplines", "Interdisciplinary learning", "Cancer research", "Cancer biology", "Cancer therapeutics", "Cancer care", "Cancer epidemiology", "Global cancer control", "Interdisciplinary cancer research", "Psychological issues cancer", "Behavioral issues cancer", "Emotional issues cancer", "Social issues cancer", "Caregiver issues cancer", "Disease trajectory", "End of life care", "Health communication", "Patient-provider relationships", "Shared decision-making", "Psychosocial intervention", "Quality of life", "Psychotherapy", "Support groups", "Meaning-centered therapy", "Cognitive-behavioral therapy", "Mindfulness therapy", "Clinical hypnosis", "Patient outcomes", "Caregiver outcomes", "Cancer prevention", "Screening participation", "Early detection care", "Follow-up care" ], "skillCount" : 49, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 761.8123, "daysOld" : 5, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education" }, { "id" : "6a2a536674d8ee00a05fdf08", "title" : "Course Consultant", "company" : "Think Academy US", "industry" : "Ed-Tech", "salary" : { "min" : 25.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Jose, California, United States", "locations" : [ "San Jose", "California", "United States" ], "timestamp" : "2026-06-14T22:01:44.959", "fingerprint" : "43aa8626ce2c8799cd621a57e2066cd31056674451835993fca2a358897ada95", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/thinkacademyus/jobs/7769027003", "externalId" : "7769027003", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Enrollment targets", "Resource conversion" ], "hardSkillsList" : [ "English fluency", "Mandarin fluency" ], "softSkillsList" : [ "Responsiveness", "Solution-oriented mindset", "Teamwork", "Problem-solving" ], "hardSkills" : [ { "name" : "English fluency", "level" : "intermediate" }, { "name" : "Mandarin fluency", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Responsiveness" }, { "name" : "Solution-oriented mindset" }, { "name" : "Teamwork" }, { "name" : "Problem-solving" } ], "majorSkills" : "Sales, Client relations, Revenue generation", "majorSkillsList" : [ "Sales", "Client relations", "Revenue generation" ], "coreResponsibilities" : "Participate in training sessions, Address client inquiries, Engage potential clients, Build relationships with parents, Recommend suitable programs, Develop plans to meet targets, Execute plans to meet targets, Monitor sales performance, Refine approaches to achieve results, Collaborate with academic teams, Collaborate with marketing teams, Collaborate with operations teams", "teamCollaboration" : "Academic teams; Marketing teams; Operations teams", "domainKnowledge" : "K-12 education; Ed-Tech", "domainList" : [ "k-12-education", "ed-tech" ], "domainSpecificKnowledge" : [ "K-12 education", "Ed-Tech" ], "communicationSkills" : "Engage with parents; Engage with students", "continuousLearning" : "Paid training; Professional growth", "problemSolvingSkills" : "Quick problem-solving; Resourceful problem-solving", "outcomesObjectives" : "Meet weekly enrollment targets; Meet monthly enrollment targets; Improve resource conversion rates", "qualificationsBasic" : "30-40 hours per week availability, Availability for evenings and weekends", "qualificationsPreferred" : "Degree in Teaching or Education, 1-2 years experience in education industry, 1-2 years sales experience, 1-2 years customer service experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Job Title: Course Consultant Job type: Full-Time 30-40 hours/week; potential to convert to Full-Time (Exempt) based on performance! Location: Remote Intended Start Date: ASAP Who We Are: Think Academy US (www.TheThinkAcademy.com), a 100% owned subsidiary of TAL Education Group(NYSE: TAL), is recently established education technology (Ed-Tech) company to provide K-12 extra-curricular learning services through science and technology. At Think Academy, we provide full cycle service to foster local children’s ability to think critically, to strengthen their logic skills, and to help them fulfill their goals through innovative teaching techniques. We believe Love and Technology can make education better. Each week, more than 6 million students are enrolled in TAL's online and offline education platform. Your Role: Think Academy U. S. is looking for Full-Time Course Consultant for our Elementary and Middle school courses. Course consultants are expected to provide expert guidance and personalized support to parents, ensuring that their students’ needs are effectively and efficiently met throughout their time at Think Academy. This role calls for strong communication, quick problem-solving, and a deep understanding of how to address client needs promptly and thoughtfully. As a Remote Course Consultant, your responsibilities include: Participating in training sessions to fully understand the company’s educational products and user needs. Effectively addressing client inquiries about course offerings, schedules, teaching methods, and registration processes. Engaging potential clients through various communication channels (phone, email, social media) to introduce courses and highlight the institution’s value. Building strong relationships with parents by understanding their children’s academic needs and recommending suitable programs. Developing and execute plans to meet weekly/monthly enrollment targets and improve resource conversion rates. Monitoring sales performance and continuously refine approaches to achieve optimal results. Collaborating with academic, marketing, and operations teams to ensure smooth integration between enrollment and program delivery. What We're Looking For: Bachelor's degree required; a degree in Teaching, or Education is preferred. Prior experience in the education industry, sales, or customer service above 1-2 years is preferred. Fluent in both English and Mandarin, with strong communication skills and the ability to effectively engage with parents and students. Enthusiastic about education and helping students succeed; empathetic towards parents' needs and concerns. Demonstrate a high level of responsiveness to tasks and deadlines; maintains a professional and solution-oriented mindset. Flexible schedule with availability for 30-40 hours per week, including evenings and weekends as needed. Excellent teamwork and collaboration skills; proactive and resourceful in problem-solving and addressing client needs. Pay & Benefits: Flexible Remote Work: Work from anywhere that suits you best! Performance-Based Commission: Rewarding hard work with extra earnings. Paid Training: We invest in your success from day one. Professional Growth: Sharpen your communication, strategic thinking, and problem-solving skills through hands-on, real-world experience. 401k & Insurance Benefits: 401k match & health, vision, dental insurance Pay: $25/hr + Performance Bonus Think Academy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.", "summaryDescription" : "Course Consultant at Think Academy US. Skills: Sales, Client relations, Revenue generation. Participate in training sessions. Address client inquiries", "postedDate" : "2026-06-11T19:20:37.531", "createdAt" : "2026-06-11T19:20:37.531", "lastUpdated" : "2026-06-14T22:01:44.959", "ingestTimestamp" : "2026-06-11T19:20:37.531", "mongoId" : "6a2a536674d8ee00a05fdf08", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "English fluency", "Mandarin fluency", "Responsiveness", "Solution-oriented mindset", "Teamwork", "Problem-solving", "Sales", "Client relations", "Revenue generation", "Enrollment targets", "Resource conversion", "K-12 education", "Ed-Tech" ], "skillCount" : 13, "jobCategory" : "operations", "jobSubcategory" : "business-operations", "dataQualityScore" : 0.8888889, "_score" : 727.4679, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Ed-Tech" }, { "id" : "6a2a660f74d8ee00a062bcba", "title" : "Trans Planning Data Analyst", "company" : "Souq. com for E-Commerce LLC", "industry" : "Administrative Support, no business category", "salary" : { "min" : 360000.0, "max" : 600000.0, "currency" : "EGP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for E-Commerce in Cairo, Egypt, adjusted for mid-seniority level." }, "location" : "Cairo, EGY", "locations" : [ "Cairo, EGY" ], "timestamp" : "2026-06-15T07:52:37.701", "fingerprint" : "0baded6f157e0c7be1a90bb31401ce07945f12ed3f160481ea646fdd38e2537c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10441782/apply", "externalId" : "36d16ae1-5f29-4c64-a747-fdca695a7658", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cairo", "country" : "Egypt", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "30.0443879,31.2357257" } ], "locationText" : "Cairo, Egypt", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Analytical skills", "Planning skills" ], "majorSkills" : "Transportation planning, Data handling", "majorSkillsList" : [ "Transportation planning", "Data handling" ], "coreResponsibilities" : "Support intra-day management, Monitor multiple dashboards, Receive change requests, Deploy requested changes, Maintain attention to detail, Ensure changes are completed", "teamCollaboration" : "Cross functional communication", "domainKnowledge" : "Transportation function; Retail domain", "domainList" : [ "transportation-function", "retail-domain" ], "domainSpecificKnowledge" : [ "Transportation function", "Retail domain" ], "communicationSkills" : "Written communication; Verbal communication", "specialRequirements" : "Work in different shifts, Include Night Shifts, Include Weekends", "qualificationsBasic" : "Bachelor's degree", "qualificationsPreferred" : "Experience in e-commerce, Experience in retail, Experience in advertising, Managing transportation function", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "If you are a supply chain professional with a passion to innovate and contribute in a fast paced growing environment, you might be a good fit to join Amazon.com Supply chain team. This role involves big data handling and cross functional communication. The candidate is expected to have exceptional analytical, planning and written/verbal communication skills along with preferred experience in managing transportation function in retail domain. Key job responsibilities Support the intra-day management of transportation capacities. This will mean you will be monitoring multiple dashboards and receiving multiple change requests from partner teams within a day. You will be expected to deploy the requested changes within the set SLA with high degree of accuracy. Therefore, you will be required to maintain a high bar on attention to detail, ensuring that all requested changes are accurately and fully completed. You are expected to be flexible to work in different shift structures and your schedule can include Night Shifts and Weekends. Basic Qualifications: - Bachelor's degree Preferred Qualifications: - Experience in e-commerce, retail or advertising Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Trans Planning Data Analyst at Souq. com for E-Commerce LLC. Skills: Transportation planning, Data handling. Support intra-day management. Monitor multiple dashboards", "postedDate" : "2026-06-13T18:53:54.693", "createdAt" : "2026-06-13T18:53:54.693", "lastUpdated" : "2026-06-15T07:52:37.701", "ingestTimestamp" : "2026-06-13T18:53:54.693", "mongoId" : "6a2a660f74d8ee00a062bcba", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10441782/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Transportation planning", "Data handling", "Analytical skills", "Planning skills", "Transportation function", "Retail domain" ], "skillCount" : 6, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 714.18896, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a767a74d8ee00a065c587", "title" : "Data Planning Manager", "company" : "VML", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Data Planning Manager in England, United Kingdom, adjusted for manager seniority and the marketing industry." }, "location" : "England, United Kingdom", "locations" : [ "England", "United Kingdom" ], "timestamp" : "2026-06-14T20:51:15.195", "fingerprint" : "5fa8fc47898531cfca95ad10ae193279d6d3e188354486d73b80d89c2b20fd1c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.vml.com/careers/job/8572535002?gh_jid=8572535002", "externalId" : "8572535002", "structuredLocations" : [ { "state" : "England", "country" : "United Kingdom", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "England, United Kingdom", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, Scala, Spark, dbt, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, dbt Cloud, Delta Lake, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, Google Analytics, Amplitude", "professionalSkills" : [ "Measurement", "Budget optimisation", "Audience targeting", "Media flighting", "Campaign reporting", "Performance reporting", "Attribution modelling", "Media mix modelling", "Data integration", "Client briefs", "Customer journeys", "Data signals", "Holistic measurement", "Data visualisation", "Proposal writing" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Quantitative analysis", "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference", "Ad tech", "Data clean rooms", "Privacy safe solutions" ], "softSkillsList" : [ "Strategic thinking", "Analytical skills", "Curious", "Willingness to learn", "Push boundaries" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Ad tech", "level" : "intermediate" }, { "name" : "Data clean rooms", "level" : "intermediate" }, { "name" : "Privacy safe solutions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Strategic thinking" }, { "name" : "Analytical skills" }, { "name" : "Curious" }, { "name" : "Willingness to learn" }, { "name" : "Push boundaries" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering" ], "coreResponsibilities" : "Utilise measurement tools, Utilise attribution models, Utilise media mix modelling, Produce insightful campaign reports, Produce actionable optimisation recommendations, Create dashboards, Integrate diverse data sources, Enable holistic measurement, Support development of client briefs, Identify data signals, Inform audience targeting, Inform media flighting, Utilise data to add context, Add deeper insights to reporting, Ensure analysis is connected to measurement framework, Ensure analysis is connected to targets, Ensure analysis is connected to benchmarks, Bring the 'so what?', Build relationships with client stakeholders, Build relationships with internal teams, Promote data deliverables, Develop data deliverables, Manage data deliverables, Promote analysis deliverables, Develop analysis deliverables, Manage analysis deliverables, Act as trusted advisor to clients, Enable data-driven decision-making, Present regularly to clients, Attend client meetings, Manage a Senior Data Planner", "teamCollaboration" : "Cross-functional teams; Analytics teams; Data Scientists; Analysts; BI specialists; Internal VML teams; WPP teams", "projectManagementSkills" : [ "Manage projects" ], "domainKnowledge" : "Digital marketing landscape; Ad tech; Data clean rooms; Privacy safe solutions", "domainList" : [ "digital-marketing-landscape", "ad-tech", "data-clean-rooms", "privacy-safe-solutions" ], "domainSpecificKnowledge" : [ "Digital marketing landscape", "Ad tech", "Data clean rooms", "Privacy safe solutions" ], "toolProficiency" : [ "Excel", "Google Analytics", "Amplitude", "Tableau", "Power BI" ], "communicationSkills" : "Excellent communication; Presentation skills; Explain complex data concepts; Client meetings; Presenting to clients", "continuousLearning" : "Willingness to learn", "innovationCreativity" : "Push boundaries", "problemSolvingSkills" : "Strategic thinking; Analytical skills", "qualificationsBasic" : "7+ years of experience in a data function, Understanding of media measurement, Understanding of data principles, Understanding of the digital marketing landscape, Proven ability to manage projects, Work effectively within cross-functional teams, Proficiency in Excel, Proficiency in other data analysis tools, Knowledge of attribution techniques, Knowledge of experimentation techniques, Knowledge of MMM measurement techniques, Experience with website analytics, Experience with personalisation tools, Experience with testing tools", "qualificationsPreferred" : "Experience with data visualization tools, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who We Are VML, part of WPP, is a leading creative company that combines brand experience, customer experience, and commerce, creating connected brands to drive growth. VML is celebrated for its innovative and human first, award-winning work for blue chip client partners including AstraZeneca, Colgate-Palmolive, Dell, Ford, Microsoft, Nestlé, The Coca-Cola Company, and Wendy' s. The agency is recognized by the Forrester Wave™ Reports, as a Leader among Marketing Creative and Content Service Providers, Commerce Services, Global Digital Experience Services, Global Marketing Services and, most recently, Marketing Measurement & Optimization. In addition, VML’s specialist health network, VML Health, is one of the world’s largest and most awarded health agencies. VML’s global network is powered by 26,000 talented people across 55+ markets, with principal offices in Kansas City, New York, Detroit, London, São Paulo, Shanghai, Singapore, and Sydney. About WPP WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com. .Who we’re looking for: We're seeking a highly collaborative, flexible and enthusiastic Data Planning Manager to join the team who has experience in supporting measurement and budget optimisation, test and learn opportunities, identification of data signals across the journey that can be used to inform audience targeting and media flighting and holistic campaign and always on performance reporting across owned and earned channels and platform. What you’ll be doing: You will utilise measurement tools, attribution models, and media mix modelling to produce insightful, actionable campaign reports and optimisation recommendations in conjunction with the media strategists and analytics teams Working with Data Scientists, Analysts, and BI specialists to create dashboards and integrate diverse data sources to enable holistic measurement. Support the development of client briefs into cross-channel digital media plans by identifying data signals across the customer journeys to inform audience targeting and media flighting Utilising data to add context and deeper insights to reporting and ensure analysis is connected back to the overarching measurement framework, targets and benchmarks – always bringing the ‘so what?’ Building strong relationships with client stakeholders and internal VML & WPP teams to promote, develop, and manage data and analysis deliverables. Acting as a trusted advisor to clients on all data-related matters, enabling data-driven decision-making. Presenting regularly to clients and attending client meetings. Managing a Senior Data Planner to develop their craft in the same areas What you’ll need: 7+ years of experience in a data function, preferably within an agency environment or a similar role with transferable skills. Strong understanding of media measurement, data principles and the digital marketing landscape Proven ability to manage projects and work effectively within cross-functional teams. Excellent communication, organisation, proposal writing, and presentation skills. Ability to explain complex technical data concepts in a clear and concise manner to non-technical audiences. Strategic thinking and analytical skills, with a high level of numeracy. Proficiency in Excel and other data analysis tools. Familiarity with Ad tech (DSP/ DMP), Data clean rooms and privacy safe solutions. Knowledge of attribution, experimentation and MMM measurement techniques Experience with website analytics and personalisation/testing tools (e.g., Google Analytics, Amplitude). Experience with data visualization tools (e.g., Tableau, Power BI) is beneficial. A proactive, curious, and collaborative approach, with a willingness to learn and push boundaries. A passion for data and its potential to drive business impact. At VML, we are committed to fostering an all-inclusive work environment that is both rewarding and career-forward. Our Inclusion, Equity & Belonging initiatives, alongside the VML Foundation, reflect our dedication to giving back and making a positive impact in our communities and beyond. Our people are the heartbeat of our organization—creators, doers, innovators, makers, and thinkers—who drive not just marketing, but meaningful experiences that resonate in every action and interaction. VML is a WPP Agency. For more information, please visit our website, and follow VML on our social channels via Instagram, LinkedIn, and  X. When you click \"Submit Application\", this will send any information you add below to VML. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it. Who we are: At VML, we are a beacon of innovation and growth in an ever-evolving world. Our heritage is built upon a century of combined expertise, where creativity meets technology, and diverse perspectives ignite inspiration. With the merger of VMLY&R and Wunderman Thompson, we have forged a new path as a growth partner that is part creative agency, part consultancy, and part technology powerhouse. Our global family now encompasses over 30,000 employees across 150+ offices in 64 markets, each contributing to a culture that values connection, belonging, and the power of differences. Our expertise spans the entire customer journey, offering deep insights in communications, commerce, consultancy, CRM, CX, data, production, and technology. We deliver end-to-end solutions that result in revolutionary work. We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. VML is a WPP agency (NYSE: WPP). For more information, please visit  www.vml.com, and follow along on Instagram, LinkedIn, and  X. When you click \"Submit Application\", this will send any information you add below to VML. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.", "summaryDescription" : "Data Planning Manager at VML. Skills: Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering. Utilise measurement tools. Utilise attribution models", "postedDate" : "2026-06-11T19:25:28.917", "createdAt" : "2026-06-11T19:25:28.917", "lastUpdated" : "2026-06-14T20:51:15.195", "ingestTimestamp" : "2026-06-11T19:25:28.917", "mongoId" : "6a2a767a74d8ee00a065c587", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Quantitative analysis", "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference", "Ad tech", "Data clean rooms", "Privacy safe solutions", "Strategic thinking", "Analytical skills", "Curious", "Willingness to learn", "Push boundaries", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Measurement", "Budget optimisation", "Audience targeting", "Media flighting", "Campaign reporting", "Performance reporting", "Attribution modelling", "Media mix modelling", "Data integration", "Client briefs", "Customer journeys", "Data signals", "Holistic measurement", "Data visualisation", "Proposal writing", "Manage projects", "Digital marketing landscape", "Excel", "Google Analytics", "Amplitude", "Tableau", "Power BI" ], "skillCount" : 47, "jobCategory" : "marketing", "jobSubcategory" : "marketing-effectiveness-&-intelligence", "dataQualityScore" : 0.8888889, "_score" : 694.4393, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a265c9274d8ee00a022012a", "title" : "Course Lecturer", "company" : "McGill University", "industry" : "Food Retail", "salary" : { "min" : 5912.0, "max" : 5912.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-12T19:06:20.235", "fingerprint" : "bea95c5032bc71884574924e870c34abd6306cb3f8ef4cba5948466cac4bf65c", "source" : "workday", "language" : "en", "applyUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/Bronfman-Building/Course-Lecturer--RETL-645-095-_JR0000076819", "externalId" : "JR0000076819", "industryFunction" : { }, "locationPoint" : "56.1304,-106.3468", "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Canada", "employmentType" : "PART_TIME", "minimumEducation" : "Master's Degree", "professionalSkills" : [ "Food supply chain" ], "hardSkillsList" : [ "Academic research" ], "hardSkills" : [ { "name" : "Academic research", "level" : "intermediate" } ], "majorSkills" : "Food retail, Food supply chain", "majorSkillsList" : [ "Food retail", "Food supply chain" ], "coreResponsibilities" : "Teach a course", "domainKnowledge" : "Food retail", "domainList" : [ "food-retail" ], "domainSpecificKnowledge" : [ "Food retail" ], "qualificationsBasic" : "Masters Degree Required, Academic research experience in food, Industry experience in food supply chain required", "qualificationsPreferred" : "Prior experience in teaching courses, Prior experience in teaching workshops", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Please refer to the[How to Apply for a Job (for External Candidates)](https://www.mcgill.ca/hr/files/hr/apply_at_mcgill_university_-_guide_for_external_candidates_en.pdf) job aid for instructions on how to apply.** **If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** # **Food Retail** # **RETL 645 095** ## Mondays 18h05 - 20h55 ## **Start Date: August 31, 2026** ## **End Date: December 4, 2026** ## **CL Credits: 1.5** ## **Number of Class Hours: 19.5** ## **Remuneration: $5,912.00** ## **Deadline to apply: June 12 at 11:59 pm** The Desautels Faculty of Management is inviting applications to teach a course in Fall 2026. Please complete the online application form and upload required documents. Applications will be ranked according to the collective agreement between McGill University and the MCLIU. Preference will be given to the qualified applicant with the most priority points. **Teaching Qualification Requirements:** _Education_ : Masters Degree Required _Experience_ : Academic research experience in food retailing; or Industry experience in food supply chain required. _Other_ : Prior experience in teaching courses and/or workshops in a related topics is a definite plus. **Location** BRONF 245 For any questions, please contact [academicaffairs.mgmt@mcgill.ca](mailto:academicaffairs.mgmt@mcgill.ca) *Note: Team Teaching opportunity at 50% **Hiring Unit:** Desautels Faculty of Management - BSRM Area **Course Title:** Food Retail **Subject Code:** RETL 645 095 **Location:** BRONF 360 **Schedule:** Mondays 18h05 - 20h55 **Deadline to Apply:** 2026-06-12 _**McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence,[ accessibilityrequest.hr@mcgill.ca](mailto:accessibilityrequest.hr@mcgill.ca).**_", "summaryDescription" : "Course Lecturer at McGill University. Skills: Food retail, Food supply chain. Teach a course", "postedDate" : "2026-06-05T15:21:54.199", "createdAt" : "2026-06-11T15:21:54.170", "lastUpdated" : "2026-06-12T19:06:20.235", "ingestTimestamp" : "2026-06-11T15:21:54.170", "mongoId" : "6a265c9274d8ee00a022012a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/Bronfman-Building/Course-Lecturer--RETL-645-095-_JR0000076819", "salaryAnnualMin" : 5912, "salaryAnnualMax" : 5912, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Academic research", "Food retail", "Food supply chain" ], "skillCount" : 3, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 687.0533, "daysOld" : 7, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Food Retail" }, { "id" : "6a2cf9d074d8ee00a0a9c08a", "title" : "Data Analyst", "industry" : "COE", "salary" : { "min" : 1200000.0, "max" : 2000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Analyst in India's E-commerce industry, adjusted for remote work and full-time employment." }, "location" : "India(Remote)", "locations" : [ "India(Remote)" ], "timestamp" : "2026-06-15T22:04:54.886", "fingerprint" : "251dddac81e2e122205cc82fcc63c567abcce421b1d1c3eed9249433bdcf1e45", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/valerie-group/8d0bdb82-9d20-4222-8056-cfaa17b9a953/application", "externalId" : "8d0bdb82-9d20-4222-8056-cfaa17b9a953", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "remote" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, GA4, GTM, Looker Studio, Power BI, Tableau, Adobe Analytics, Amplitude, Mixpanel", "professionalSkills" : [ "Data analysis", "Data visualization", "Data strategy", "Performance marketing", "ROI improvement", "Conversion optimization" ], "hardSkillsList" : [ "Data validation", "Data audits", "Quality checks", "Tracking implementation", "Tagging implementation", "Reporting processes", "Data documentation" ], "hardSkills" : [ { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data audits", "level" : "intermediate" }, { "name" : "Quality checks", "level" : "intermediate" }, { "name" : "Tracking implementation", "level" : "intermediate" }, { "name" : "Tagging implementation", "level" : "intermediate" }, { "name" : "Reporting processes", "level" : "intermediate" }, { "name" : "Data documentation", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Data visualization, SQL, Dashboarding", "majorSkillsList" : [ "Data analysis", "Data visualization", "SQL", "Dashboarding" ], "coreResponsibilities" : "Build data strategies, Execute data strategies, Create dashboards, Maintain dashboards, Create reports, Maintain reports, Analyze customer behavior, Analyze funnels, Analyze product performance, Analyze campaign effectiveness, Ensure data accuracy, Perform validation, Perform audits, Perform quality checks, Work on tracking implementation, Work on tagging implementation, Present insights to leadership, Present insights to cross-functional teams, Manage analytics platforms, Write SQL queries, Monitor metrics, Optimize metrics, Support marketing teams, Support growth teams, Identify tracking issues, Identify reporting issues, Troubleshoot tracking issues, Troubleshoot reporting issues, Create reporting processes, Maintain data documentation", "teamCollaboration" : "Engineering teams; Marketing teams; Product teams; Leadership teams; Cross-functional teams", "domainKnowledge" : "eCommerce; Performance marketing", "domainList" : [ "ecommerce", "performance-marketing" ], "domainSpecificKnowledge" : [ "eCommerce", "Performance marketing" ], "toolProficiency" : [ "GA4", "GTM", "Looker Studio", "Power BI", "Tableau", "Adobe Analytics", "Amplitude", "Mixpanel" ], "communicationSkills" : "Communicate data narratives; Present insights", "documentationSkills" : "Data documentation", "problemSolvingSkills" : "Problem-solving mindset; Troubleshoot tracking issues; Troubleshoot reporting issues", "outcomesObjectives" : "Improve ROI; Improve conversions", "qualificationsBasic" : "3–5 years of hands-on experience in Data Analytics, Expertise in GA4, Expertise in Google Tag Manager (GTM), Expertise in SQL, Expertise in dashboarding/reporting tools, Write SQL queries", "qualificationsPreferred" : "Experience working with Adobe Analytics, Experience working with Amplitude, Experience working with Mixpanel, Experience working with similar analytics platforms", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "This role involves managing the entire data lifecycle, from collection and validation to analysis and visualization. The ideal candidate will be a proactive, detail-oriented professional with a strong technical background and a proven ability to communicate complex data narratives to both technical and non-technical stakeholders. They will be the guardian of data integrity and the architect of our data-driven decision-making culture. ACCOUNTABILITIES - Build and execute data strategies aligned with eCommerce goals. - Create and maintain dashboards/reports using tools like Looker Studio and Power BI. - Analyze customer behavior, funnels, product performance, and campaign effectiveness to uncover insights. - Ensure data accuracy through validation, audits, and quality checks. - Work with engineering teams on tracking/tagging implementation via GTM and analytics platforms. - Present insights clearly to leadership and cross-functional teams. KEY RESPONSIBILITIES - Manage analytics platforms including GA4, GTM, and reporting tools like Looker Studio, Power BI, or Tableau. - Write SQL queries for data extraction, reporting, and analysis. - Monitor and optimize key eCommerce and performance marketing metrics. - Support marketing and growth teams with actionable insights to improve ROI and conversions. - Identify and troubleshoot tracking/reporting issues proactively. - Create scalable reporting processes and maintain data documentation. WHO WOULD FIT IN - 3–5 years of hands-on experience in Data Analytics, preferably within eCommerce or performance-driven digital businesses. - Strong expertise in GA4, Google Tag Manager (GTM), SQL, and dashboarding/reporting tools. - Experience working with platforms like Adobe Analytics, Amplitude, Mixpanel, or similar is a plus. - Comfortable working closely with marketing, product, engineering, and leadership teams. - Strong analytical thinking, attention to detail, and problem-solving mindset. - Excellent communication skills with the ability to simplify complex data into business insights. - Someone proactive, curious, and highly ownership-driven.", "summaryDescription" : "Data Analyst. Skills: Data analysis, Data visualization, SQL, Dashboarding. Build data strategies. Execute data strategies", "createdAt" : "2026-06-14T19:28:07.836", "lastUpdated" : "2026-06-15T22:04:54.886", "ingestTimestamp" : "2026-06-14T19:28:07.836", "mongoId" : "6a2cf9d074d8ee00a0a9c08a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data validation", "Data audits", "Quality checks", "Tracking implementation", "Tagging implementation", "Reporting processes", "Data documentation", "Data analysis", "Data visualization", "SQL", "Dashboarding", "Data strategy", "Performance marketing", "ROI improvement", "Conversion optimization", "eCommerce", "GA4", "GTM", "Looker Studio", "Power BI", "Tableau", "Adobe Analytics", "Amplitude", "Mixpanel" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 685.5067, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca05674d8ee00a09a1efc", "title" : "Data Analyst", "company" : "SAILY", "industry" : "NordVPN", "salary" : { "min" : 3200.0, "max" : 5900.0, "currency" : "EUR", "frequency" : "Yearly" }, "location" : "Vilnius", "locations" : [ "Vilnius", "Kaunas" ], "timestamp" : "2026-06-15T07:51:45.728", "fingerprint" : "34f2fc75b880e00c8a56a75d36afa582be281b9c647f5eaa7dfb03643ef3e3a0", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/nord-security/ebfcd5cd-df8e-4402-96ee-c37fbdebd661/application", "externalId" : "ebfcd5cd-df8e-4402-96ee-c37fbdebd661", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vilnius", "country" : "Lithuania", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "54.6870458,25.2829111" } ], "locationText" : "Vilnius, Lithuania", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid-Senior", "technicalSkills" : "SQL, Python, R, Google BigQuery, Google Analytics", "professionalSkills" : [ "Data manipulation", "Data visualization", "Customer segmentation", "Attribution modeling", "Funnel analysis" ], "hardSkillsList" : [ "Data analysis", "Statistical modeling", "Marketing attribution", "Customer behavior analysis", "Cohort analysis", "Segmentation strategies" ], "softSkillsList" : [ "Problem-solving" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Marketing attribution", "level" : "intermediate" }, { "name" : "Customer behavior analysis", "level" : "intermediate" }, { "name" : "Cohort analysis", "level" : "intermediate" }, { "name" : "Segmentation strategies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" } ], "majorSkills" : "Data analysis, SQL, Python, Data visualization", "majorSkillsList" : [ "Data analysis", "SQL", "Python", "Data visualization" ], "coreResponsibilities" : "Define key metrics, Track key metrics, Optimize key metrics, Analyze users, Analyze product, Develop automated reports, Maintain automated reports, Conduct deep-dive analyses, Deliver presentations of insights, Support development of scalable analysis, Support maintenance of scalable analysis", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Telecommunications; SaaS; Digital product; Customer lifecycle; LTV; Churn; Retention; Cohort analysis; Attribution modeling", "domainList" : [ "telecommunications", "saas", "digital-product", "customer-lifecycle", "ltv", "churn", "retention", "cohort-analysis", "attribution-modeling" ], "domainSpecificKnowledge" : [ "Telecommunications", "SaaS", "Digital product", "Customer lifecycle", "LTV", "Churn", "Retention", "Cohort analysis", "Attribution modeling" ], "toolProficiency" : [ "Google BigQuery", "Looker", "Tableau", "Power BI", "Google Analytics" ], "communicationSkills" : "Data-driven insights presentation", "continuousLearning" : "Extensive training programs; Online training; Offline training; Mentorship; Career-switch opportunities", "problemSolvingSkills" : "Problem-solving mindset; Translate data into insights", "outcomesObjectives" : "Find new business opportunities; Uncover growth opportunities; Uncover optimization opportunities", "qualificationsBasic" : "2+ years of experience in a data analyst role, Solid proficiency in SQL, Python (or R) for data manipulation, Experience with data visualization tools, Proficiency in Google Analytics", "qualificationsPreferred" : "Experience with Google BigQuery, Familiarity with customer lifecycle frameworks, Experience in A/B testing analysis, Statistical modeling experience, Marketing attribution experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "AT SAILY, WE’RE REMOVING THE HASSLE FROM GETTING SECURE DATA PLANS WHILE TRAVELING. No roaming charges, no plastic SIM cards. Just fast, secure mobile data in 200+ countries. Join the team behind Lonely Planet’s #1 eSIM—built for explorers, powered by NordVPN. Your impact? Helping people stay securely connected, wherever they go. MAIN RESPONSIBILITIES - Define, track, and optimize key metrics and KPIs for product and marketing teams; - Analyze users and product to find new business opportunities and areas for improvement; - Develop and maintain automated reports and dashboards that provide visibility into customer behavior and product performance; - Conduct deep-dive analyses on customer cohorts, segmentation strategies, and touchpoints to uncover growth and optimization opportunities; - Deliver clear, compelling presentations of data-driven insights to cross-functional stakeholders; Support the development and maintenance that enable scalable analysis (e.g. user segmentation, attribution modeling, funnel analysis). CORE REQUIREMENTS - 2+ years of experience in a data analyst role, ideally in telecommunications, SaaS, or a digital product environment; - Solid proficiency in SQL (experience with Google BigQuery is a strong plus) and Python (or R) for data manipulation and analysis; - Hands-on experience working with CRM or marketing datasets (e.g., user lifecycle, campaign tracking, customer behavior); - Familiarity with customer lifecycle frameworks and techniques for LTV, churn, retention, and cohort analysis; - Strong experience with data visualization tools (e.g., Looker, Tableau, Power BI, or equivalent); - Proficiency in Google Analytics or other web/app analytics platforms; - Experience in A/B testing analysis, statistical modeling, or marketing attribution is a plus; - Excellent communication skills, a problem-solving mindset, and the ability to translate data into actionable insights for diverse audiences. What We Offer Innovate with industry leaders Work alongside global experts to build world-leading cybersecurity tools, impacting millions of users around the world. Learn & grow Boost your skills via our extensive training programs (online and offline) & other resources. Benefit from mentorship and career-switch opportunities to grow within the company. Work in a next-gen Cyber City office Thrive in our bustling office, featuring ergonomic workspaces, modern meeting rooms, engaging events, and specialty coffee to fuel your day. Hybrid work Enjoy the flexibility with 3 office days and working from home for the remaining 2. Work from anywhere Recharge with a change of scenery – choose work from any location when you feel a need to power your creativity and drive. Physical well-being Boost your health with free-of-charge 24/7 gym access, onsite and online workouts, and consultations led by in-house Physical Well-Being experts. Mental & emotional health Nurture your mind with free psychologist consultations, dedicated mental health events, and premium access to top-rated wellness apps like Calm, Headspace, and Mindletic. Premium healthcare Receive private health insurance giving you peace of mind for your health needs. Extra days off Enjoy additional vacation days off as you grow with us. Plus, get extra days for sick leave, special occasions, or parenting needs. Joyful moments – special treats Celebrate life’s big moments with special gifts from us on your birthday, anniversary, and other major events, such as weddings or the arrival of a new family member. Company events & team-building Experience iconic Nord Security celebrations, team-buildings, and knowledge-sharing events, nurturing bonds that fuel our success. Workation Embark on a legendary company getaway abroad, filled with exciting activities, live concerts, engaging workshops, and epic time together. Kindly refer to our Privacy Notice for Recruitment Candidates https://drive.google.com/file/d/1b2tV684_SYV1jQ4kuf91cnzrRBk3ef-5/view for comprehensive information regarding our data handling procedures throughout recruitment processes. We expect all candidates to provide accurate and complete information during the recruitment process. While limited use of AI tools to refine application materials is acceptable, candidates remain fully responsible for ensuring that their submissions reflect their own qualifications, skills, and experience. Any failure to do so may negatively affect participation in the recruitment process. If broader AI assistance is allowed for a particular role or stage, we’ll let you know in advance. By submitting your application, you acknowledge that it may be processed using automated tools for evaluation purposes. As part of our recruitment process, we may use an AI-based application review tool to help assess applications based on skills and experience relevant to the role. This technology is used to support - not replace - human decision-making, and every application is ultimately reviewed by a recruiter. If you would like more information about how AI is used in this process or wish to exercise your rights under applicable data privacy laws, please contact us at privacy@nordaccount.com. Should you prefer to opt out of the automated evaluation, please submit your application directly to career@nordsec.com.", "summaryDescription" : "Data Analyst at SAILY. Skills: Data analysis, SQL, Python, Data visualization. Define key metrics. Track key metrics", "createdAt" : "2026-06-14T02:14:09.554", "lastUpdated" : "2026-06-15T07:51:45.728", "ingestTimestamp" : "2026-06-14T02:14:09.554", "mongoId" : "6a2ca05674d8ee00a09a1efc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Statistical modeling", "Marketing attribution", "Customer behavior analysis", "Cohort analysis", "Segmentation strategies", "Problem-solving", "SQL", "Python", "Data visualization", "Data manipulation", "Customer segmentation", "Attribution modeling", "Funnel analysis", "Telecommunications", "SaaS", "Digital product", "Customer lifecycle", "LTV", "Churn", "Retention", "Google BigQuery", "Looker", "Tableau", "Power BI", "Google Analytics" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 685.2759, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a26569674d8ee00a021d533", "title" : "Course Lecturer", "company" : "McGill University", "industry" : "Food Retail", "salary" : { "min" : 5912.0, "max" : 5912.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-12T12:50:51.408", "fingerprint" : "c035c32dc39c7b330a1e73b48405fe51c7f1668472a890a7a7cf4858aca287cd", "source" : "workday", "language" : "en", "applyUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/Bronfman-Building/Course-Lecturer--RETL-645-095-_JR0000076845-1", "externalId" : "JR0000076845", "industryFunction" : { }, "locationPoint" : "56.1304,-106.3468", "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Canada", "employmentType" : "PART_TIME", "minimumEducation" : "Master's Degree", "professionalSkills" : [ "Food supply chain" ], "hardSkillsList" : [ "Academic research" ], "hardSkills" : [ { "name" : "Academic research", "level" : "intermediate" } ], "majorSkills" : "Food Retail, Food supply chain", "majorSkillsList" : [ "Food Retail", "Food supply chain" ], "coreResponsibilities" : "Teach a course", "domainKnowledge" : "Food Retail", "domainList" : [ "food-retail" ], "domainSpecificKnowledge" : [ "Food Retail" ], "qualificationsBasic" : "Masters Degree Required, Academic research experience in food, Industry experience in food supply chain", "qualificationsPreferred" : "Prior experience in teaching courses, Prior experience in teaching workshops", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Please refer to the[How to Apply for a Job (for External Candidates)](https://www.mcgill.ca/hr/files/hr/apply_at_mcgill_university_-_guide_for_external_candidates_en.pdf) job aid for instructions on how to apply.** **If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** # **Food Retail** # **RETL 645 095** ## Mondays 18h05 - 20h55 ## **Start Date: August 31, 2026** ## **End Date: December 4, 2026** ## **CL Credits: 1.5** ## **Number of Class Hours: 19.5** ## **Remuneration: $5,912.00** ## **Deadline to apply: June 12 at 11:59 pm** The Desautels Faculty of Management is inviting applications to teach a course in Fall 2026. Please complete the online application form and upload required documents. Applications will be ranked according to the collective agreement between McGill University and the MCLIU. Preference will be given to the qualified applicant with the most priority points. **Teaching Qualification Requirements:** _Education_ : Masters Degree Required _Experience_ : Academic research experience in food retailing; or Industry experience in food supply chain required. _Other_ : Prior experience in teaching courses and/or workshops in a related topics is a definite plus. **Location** BRONF 245 For any questions, please contact [academicaffairs.mgmt@mcgill.ca](mailto:academicaffairs.mgmt@mcgill.ca) *Note: Team Teaching opportunity at 50% **Hiring Unit:** Desautels Faculty of Management - BSRM Area **Course Title:** Food Retail **Subject Code:** RETL 645 095 **Location:** BRONF 360 **Schedule:** Mondays 18h05 - 20h55 **Deadline to Apply:** 2026-06-12 _**McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence,[ accessibilityrequest.hr@mcgill.ca](mailto:accessibilityrequest.hr@mcgill.ca).**_", "summaryDescription" : "Course Lecturer at McGill University. Skills: Food Retail, Food supply chain. Teach a course", "postedDate" : "2026-06-05T14:44:56.959", "createdAt" : "2026-06-11T14:44:56.944", "lastUpdated" : "2026-06-12T12:50:51.408", "ingestTimestamp" : "2026-06-11T14:44:56.944", "mongoId" : "6a26569674d8ee00a021d533", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/Bronfman-Building/Course-Lecturer--RETL-645-095-_JR0000076845-1", "salaryAnnualMin" : 5912, "salaryAnnualMax" : 5912, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Academic research", "Food Retail", "Food supply chain" ], "skillCount" : 3, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 684.20667, "daysOld" : 6, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Food Retail" }, { "id" : "6a26569574d8ee00a021d4d0", "title" : "Course Lecturer", "company" : "McGill University", "salary" : { "min" : 11824.0, "max" : 11824.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-12T10:07:11.924", "fingerprint" : "ee7c0af38e7b83e9fb12622d2377cfed6db8b12a8efd2d7c5656374b9aec8fb1", "source" : "workday", "language" : "en", "applyUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/MacDonald-Harrington/Course-Lecturer---ARCH-531---Fall-2026_JR0000077212", "externalId" : "JR0000077212", "locationPoint" : "56.1304,-106.3468", "structuredLocations" : [ { "city" : "Montreal", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.5031824,-73.5698065" } ], "locationText" : "Montreal, Quebec, Canada", "employmentType" : "PART_TIME", "minimumEducation" : "Master's", "coreResponsibilities" : "Teach Course ARCH 531", "domainKnowledge" : "Architectural Intentions; Vitruvius; Renaissance", "domainList" : [ "architectural-intentions", "vitruvius", "renaissance" ], "domainSpecificKnowledge" : [ "Architectural Intentions", "Vitruvius", "Renaissance" ], "communicationSkills" : "English communication", "specialRequirements" : "Authorized to work in Canada, Willing to work in Quebec", "qualificationsBasic" : "Appropriate technical expertise, Appropriate critical expertise, Appropriate theoretical expertise, M. Arch. or advanced degree, Post-secondary teaching experience", "qualificationsPreferred" : "Teaching experience in architecture", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Please refer to the[How to Apply for a Job (for External Candidates)](https://www.mcgill.ca/hr/files/hr/apply_at_mcgill_university_-_guide_for_external_candidates_en.pdf) job aid for instructions on how to apply.** **If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** **The Peter Guo-hua Fu School of Architecture, McGill University** invites applications for a **Course Lecturer position** for the **Fall 2026 term**. Instructor for Course ARCH 531 / Architectural Intentions Vitruvius - Renaissance. **Teaching Qualification Requirements:** Appropriate technical, critical, and theoretical expertise required for the course. M.Arch. or advanced academic degree commensurate with the level of the course. Post-secondary teaching experience in architecture. Appointment is from August 31 to December 31, 2026. 3 credits. Salary $11,824. **_Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located._** **_McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing._** **Hiring Unit:** The Peter Guo-hua Fu School of Architecture **Course Title:** Arch Int Vitruvius-Renaissance **Subject Code:** ARCH 531 **Location:** MDHAR 212 **Schedule:** F 08:35 am-10:25 am **Deadline to Apply:** 2026-06-12 _**McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence,[ accessibilityrequest.hr@mcgill.ca](mailto:accessibilityrequest.hr@mcgill.ca).**_", "summaryDescription" : "Course Lecturer at McGill University. Teach Course ARCH 531", "postedDate" : "2026-06-05T13:15:22.890", "createdAt" : "2026-06-11T13:15:22.807", "lastUpdated" : "2026-06-12T10:07:11.924", "ingestTimestamp" : "2026-06-11T13:15:22.807", "mongoId" : "6a26569574d8ee00a021d4d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/MacDonald-Harrington/Course-Lecturer---ARCH-531---Fall-2026_JR0000077212", "salaryAnnualMin" : 11824, "salaryAnnualMax" : 11824, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Architectural Intentions", "Vitruvius", "Renaissance" ], "skillCount" : 3, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 681.4662, "daysOld" : 6, "hasLocation" : true, "hasGeo" : true }, { "id" : "6960824e0937eae70e9c8606", "title" : "Data Analyst", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 52000.0, "max" : 78000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Data Analyst in Austin, TX, adjusted for government industry and full-time employment." }, "location" : "826465", "locations" : [ "826465", "
Austin:1411 Brazos (320TX-4000)
1411 Brazos St
Austin, 78701

" ], "timestamp" : "2026-06-15T08:04:40.931", "fingerprint" : "f911572be6f38cd41651e4636691a5ea9c45db196f8a816fcfc0fd1239c4bcc4", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=33050", "externalId" : "33050", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" }, { "city" : "El Paso", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "31.7601001,-106.4870476" }, { "city" : "Fort Worth", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7531770,-97.3327459" }, { "city" : "McAllen", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "26.2041140,-98.2300605" }, { "city" : "San Antonio", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.4246002,-98.4951405" } ], "locationText" : "Austin, Texas, United States; El Paso, Texas, United States; Fort Worth, Texas, United States; McAllen, Texas, United States; San Antonio, Texas, United States", "technicalSkills" : "SQL, VB Scripts, Python, R, JSON", "professionalSkills" : [ "Data analysis", "Data research", "Data visualization", "Data accuracy", "Data integrity", "Data conversions", "Database objects", "Database concepts" ], "hardSkillsList" : [ "ETL processes", "Data warehousing concepts", "Scripting languages" ], "hardSkills" : [ { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing concepts", "level" : "intermediate" }, { "name" : "Scripting languages", "level" : "intermediate" } ], "majorSkills" : "Data analysis, SQL, Data visualization", "majorSkillsList" : [ "Data analysis", "SQL", "Data visualization" ], "coreResponsibilities" : "Extract transform load data, Conduct data analysis, Identify trends patterns anomalies, Develop data visualizations, Maintain data visualizations, Generate reports, Conduct audits, Validate data accuracy, Validate data completeness, Participate data conversions, Map data, Extract data, Transform data, Validate data, Troubleshoot data issues, Resolve data issues, Tune database objects, Optimize database objects, Tune queries, Optimize queries, Tune scripts, Optimize scripts, Design database objects, Implement database objects, Maintain database objects, Identify process improvements, Analyze process improvements, Recommend process improvements, Collaborate project management, Align data business rules, Align data requirements, Stay up to date, Support operations, Support projects, Adhere standard operating procedures, Perform job duties", "teamCollaboration" : "Work with project managers; Work with business analysts; Work with system analysts; Work within a team", "domainKnowledge" : "User interface data; Database concepts", "domainList" : [ "user-interface-data", "database-concepts" ], "domainSpecificKnowledge" : [ "User interface data", "Database concepts" ], "toolProficiency" : [ "Excel", "Power BI", "Tableau", "Google APIs" ], "communicationSkills" : "Present data effectively", "continuousLearning" : "Training and development", "problemSolvingSkills" : "Analytical abilities; Problem-solving abilities; Identify trends; Analyze trends; Interpret trends", "specialRequirements" : "Texas resident, Relocate to Texas, 10% travel, Lift 15 Lbs", "qualificationsBasic" : "Graduation from accredited high school, One year experience data science, One year experience business analytics, One year experience computer science, One year experience computer information systems, One year experience management information systems, One year experience accounting, One year experience finance, One year experience mathematics, One year experience statistics, One year experience economics, Proficiency in SQL", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE: The mission of the Texas Workforce Commission (TWC) is to promote and support a workforce system that creates value and offers employers, individuals and communities the opportunity to achieve and sustain economic prosperity. To support our mission, we are seeking a Data Analyst to join the Unemployment Insurance Administration and Operational Support (UIA&OS) team. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. This position will have an on-site work schedule in one of our facilities in Austin, El Paso, Fort Worth, McAllen, or San Antonio. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. WHO YOU ARE: We are seeking a highly motivated and skilled Data Analyst to join our growing team. In this role, you will be responsible for analyzing data, identifying trends, and providing insights that drive business decisions. You will work closely with project managers, business analysts, and system analysts to ensure data accuracy and integrity across various systems. WHAT YOU WILL DO: The Data Analyst I-II performs entry-level to routine (journey-level) data analysis and data research work. Works under close to moderate supervision, with minimal to limited latitude for using initiative and independent judgment. YOU WILL BE TRUSTED TO: -Design, develop, and execute SQL scripts, VB Scripts, and other technologies to extract, transform, and load (ETL) data from various sources, particularly user interface (UI) data. -Conduct thorough data analysis to identify trends, patterns, and anomalies. -Develop and maintain data visualizations (graphs, charts, dashboards) using tools like Excel, Power BI and Tableau to communicate findings effectively. -Generate daily, weekly, monthly, quarterly, and annual reports on business activities, as well as ad-hoc reports as needed. -Conduct audits to validate data accuracy and completeness. -Participate in the full execution of data conversions, including mapping, extraction, transformation, and validation. -Troubleshoot and resolve data issues in test and production environments. -Tune and optimize database objects, queries, and scripts for speed and efficiency. -Design, implement, and maintain new and existing database objects (tables, indexes, constraints, stored procedures, user-defined functions). -Identify, analyze, and recommend improvements to existing data processes and procedures. -Collaborate with project management, business analysts, and system analysts to ensure data aligns with business rules and requirements. -Stay up to date with the latest data analysis technologies and database concepts. -Support operations and projects in alignment with the organization's mission and vision. -Adhere to internal standard operating procedures to support project needs. -Perform other job-related duties as assigned. YOU QUALIFY WITH: - Data Analyst I: Graduation from an accredited high school or successful completion of GED certification. Acceptance into a TWC Internship or TWC Apprenticeship will satisfy the minimum qualifications. - Data Analyst II: One year of full-time experience in data science, business analytics, computer science, computer information systems, management information systems, accounting, finance, mathematics, statistics, economics, or a related field. -Both Levels: Relevant academic credits may be applied toward experience qualifications for this position. YOU ARE A GREAT FIT WITH: -Proficiency in SQL. -Experience with data visualization tools such as Excel, Power BI and Tableau. -Familiarity with scripting languages (e.g., VBA, Python, R). -Knowledge of data warehousing concepts and ETL processes. -Familiarity with JSON and Google APIs. -Strong analytical and problem-solving abilities with a keen attention to detail. -Ability to identify, analyze, and interpret trends in data sets. -Excellent organizational, time management, and prioritization skills. -Ability to learn new systems and retain information quickly. -Excellent oral and written communication skills, with the ability to present data effectively to various audiences. -Strong collaboration skills and the ability to work effectively within a team. -Professionalism and a commitment to quality. YOU GAIN: - A Family Friendly Certified Workplace. - Competitive salary: Data Analyst I: $4,582.08; Data Analyst II: $5,558.41 - Defined Retirement Benefit Plan - Optional 401(k) and 457 accounts - Medical Insurance - Paid time off, including time for vacation, sick and family care leave - Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. Security sensitive position. Criminal background check conducted on final candidate. May work outside of normal business hours for special projects, outages, upgrades, or service affecting maintenance. Duties require up to 10% travel within the state of Texas and the ability to lift 15 Lbs. PLEASE NOTE: All applications should contain complete job history entries, which includes job title, dates of employment, name of employer, supervisor's name and phone number and a description of duties performed. If this information is not submitted; your application may be rejected because it is incomplete. Resumes do not take the place of this required information. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_PlanningResearchandStatistics.pdf. HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those currently on student or postgraduate visas. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "Data Analyst at Texas Workforce Commission. Skills: Data analysis, SQL, Data visualization. Extract transform load data. 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Arch. or equivalent, Professional practice experience, Post-secondary teaching experience", "qualificationsPreferred" : "Teaching experience in architecture", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Please refer to the[How to Apply for a Job (for External Candidates)](https://www.mcgill.ca/hr/files/hr/apply_at_mcgill_university_-_guide_for_external_candidates_en.pdf) job aid for instructions on how to apply.** **If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** **The Peter Guo-hua Fu School of Architecture, McGill University** invites applications for a **Course Lecturer position** for the **Fall 2026 term**. Instructor for Course ARCH 447 / Energy, Environment & Buildings 2. **Teaching Qualification Requirements:** Appropriate technical, digital and/or critical, theoretical expertise required for the course; active in the profession. M.Arch. or equivalent. Professional practice and/or post-secondary teaching experience in architecture. Appointment is from August 31 to December 31, 2026. 3 credits. 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Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** **Fall 2026** **Posting period** : June 1 – 12, 2026 **Deadline to apply:** June 12, 2026 **Salary** : $ 11 824/ course (including vacation pay). The Department of History and Classical Studies is inviting applications to teach a course in fall 2026. Please complete the online application form and upload required documents. Applications will be ranked according to the collective agreement between McGill University and the MCLIU. Preference will be given to the qualified applicant with the most priority points. McGill University is committed to equity in employment and diversity. All qualified applicants are encouraged to apply; however, Canadians and permanent residents will be given priority. **_Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located._** **_McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing._** (**_This posting will expire at 00:00 am the day of the deadline to apply. You have until midnight the day before the deadline to apply to submit your application)_** For any questions, please contact [jobsearch.histclas@mcgill.ca](mailto:jobsearch.histclas@mcgill.ca) **CLAS 331 Intermediate Modern Greek 1** Oral and written competence in the language at the intermediate level through the study of grammar and vocabulary. Excerpts from literature, film and music introducing the civilization of modern Greece. August 31 - Dec 4, 2026: Monday & Wednesday (10:05 - 11:25 am) Leacock 819 **Teaching Qualification Requirements:** _Education_ : PhD or ABD in Greek language or Literature or related field preferred. _Experience_ : Experience in Greek language instruction required. _Others_ : Fluency in Greek required. This course will be taught by one instructor in-person. **Hiring Unit:** Department of History and Classical Studies **Course Title:** Intermediate Modern Greek 1 **Subject Code:** CLAS 331 001 **Location:** Leacock 819 **Schedule:** Monday & Wednesday (10:05 - 11:25 am) **Deadline to Apply:** 2026-06-12 _**McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. 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Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** **McGill Institute for the Study of Canada Faculty of Arts McGill University** **Deadline to apply: June 12** , 2026 **Salary:** $11,824 per course **Credits for Course** : 3 Please complete the application form and upload a cover letter and curriculum vitae. Teaching evaluations and or a brief course outline are optional. Applications will be ranked according to the collective agreement between McGill University and the MCLIU. Preference will be given to the qualified applicant with the most priority points. **CANS 200 Understanding Canada** What is Canada? Canadians have not always agreed on what Canada is: what its national symbols should be, where its borders are, what stories its history should include, what central values it promotes. Indeed, what Canada represents is not a stable idea, but a debated concept wielded by various actors in the past and the present to legitimize divergent agendas or beliefs. This course will explore these different ideas about Canada by examining some of the country’s defining events and institutions and interrogating many important topics such as colonialism, liberalism, nationalism, identity, multiculturalism, race, the welfare state, human rights, gender equity, public health, climate change, and reconciliation. **Teaching Qualification Requirements:** Education: Master’s Degree (PhD preferred) Experience: Knowledge and teaching experience in the anthropology, history, geography, and sociology of Canada as well as its politics, literature, and culture. **Schedule:** MW 11:35 am-12:55 pm, August 31, 2026 – December 4, 2026. **Location:** ENGMC 304 ** _Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located._** **_McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing._** **Hiring Unit:** McGill Institute for the Study of Canada **Course Title:** Understanding Canada **Subject Code:** CANS 200 001 **Location:** ENGMC 304 **Schedule:** MW 11:35 am-12:55 pm **Deadline to Apply:** 2026-06-11 _**McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence,[ accessibilityrequest.hr@mcgill.ca](mailto:accessibilityrequest.hr@mcgill.ca).**_", "summaryDescription" : "Course Lecturer at McGill University. Skills: Canadian studies. Teach CANS 200. 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Arch. or advanced degree, Post-secondary teaching experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Please refer to the[How to Apply for a Job (for External Candidates)](https://www.mcgill.ca/hr/files/hr/apply_at_mcgill_university_-_guide_for_external_candidates_en.pdf) job aid for instructions on how to apply.** **If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** **The Peter Guo-hua Fu School of Architecture, McGill University** invites applications for a **Course Lecturer position** for the **Fall 2026 term**. Instructor for Course ARCH 531 / Architectural Intentions Vitruvius - Renaissance. **Teaching Qualification Requirements:** Appropriate technical, critical, and theoretical expertise required for the course. M.Arch. or advanced academic degree commensurate with the level of the course. Post-secondary teaching experience in architecture. Appointment is from August 31 to December 31, 2026. 3 credits. Salary $11,824. **_Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located._** **_McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing._** **Hiring Unit:** The Peter Guo-hua Fu School of Architecture **Course Title:** Arch Int Vitruvius-Renaissance **Subject Code:** ARCH 531 **Location:** MDHAR 212 **Schedule:** F 08:35 am-10:25 am **Deadline to Apply:** 2026-06-12 _**McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence,[ accessibilityrequest.hr@mcgill.ca](mailto:accessibilityrequest.hr@mcgill.ca).**_", "summaryDescription" : "Course Lecturer at McGill University. Skills: Architectural Intentions, Vitruvius, Renaissance. Teach Course ARCH 531. 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Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** **Fall 2026** **Posting period:** June 1 - 12, 2026 **Deadline to Apply** : June 12, 2026 **Salary** : $11 824/ course (including vacation pay) The Department of History and Classical Studies is inviting applications to teach a course in fall 2026. Please complete the online application form and upload required documents. Applications will be ranked according to the collective agreement between McGill University and MCLIU. Preference will be given to the qualified applicant with the most priority points. McGill University is committed to equity in employment and diversity. All qualified applicants are encouraged to apply; however, Canadians and permanent residents will be given priority. **_Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located._** **_McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing._** (This posting will expire at 00:00 am the day of the deadline to apply. You have until midnight the day before the deadline to apply to submit your application) For any questions, please contact [jobsearch.histclas@mcgill.ca](mailto:jobsearch.histclas@mcgill.ca) **CLAS 308 -****Gender in the Ancient World** An exploration of gender roles in the Ancient Mediterranean world. August 31 – December 4, 2026: Monday & Wednesday, 8:35 - 9:55 am M. H. Wong Building 1020 **Teaching Qualification Requirements:** _Education_ : PhD or ABD in Classics or related field required. Expertise in both Greek and Roman culture, literature, or history preferred. _Experience_ : Teaching experience in Classics at the University Level preferred. This course will be taught by one instructor in-person. **Hiring Unit:** Department of History and Classical Studies **Course Title:** Gender in the Ancient World **Subject Code:** CLAS 308 001 **Location:** M. H. Wong Building 1020 **Schedule:** Monday & Wednesday, 8:35 - 9:55 am **Deadline to Apply:** 2026-06-12 _**McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence,[ accessibilityrequest.hr@mcgill.ca](mailto:accessibilityrequest.hr@mcgill.ca).**_", "summaryDescription" : "Course lecturer at McGill University. Skills: Gender roles, Ancient Mediterranean. Teach CLAS 308 course. 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Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** **Department of Mechanical Engineering Faculty of Engineering** **McGill University** **Fall 2026 Course Lecturer Position** **Deadline to Apply June 19, 2026 at 11:59 p.m.** The Department of Mechanical Engineering is inviting applications for a course lecturer position to teach in Fall 2026. Please include your cover letter and Curriculum Vitae and if applicable a copy of your Study/Work Permit. A brief course outline is optional. Course Lecturer MECH 632 – Advanced Mechanics of Materials **Teaching Qualification Requirements:** * Minimum of Ph.D. in Mechanical Engineering. * Minimum of three years’ experience teaching or in industry. * Demonstrated knowledge of spoken and written English. * Understanding cross-cultural practices. * Strong problem-solving skills and flexible approach to teaching. **Date** : August 31, 2026 - December 18, 2026 **Salary** : $11,824 _McGill University is an English-language university where most teaching and research activities are conducted in the English Language, thereby requiring English communication both verbally and writing._ For any questions, please contact Maggie Do Couto, Administrative Officer, Department of Mechanical Engineering: [adminofficer.mecheng@mcgill.ca](mailto:adminofficer.mecheng@mcgill.ca) **Hiring Unit:** Department of Mechanical Engineering **Course Title:** Advanced Mechanics of Materials **Subject Code:** MECH 632 **Location:** ENGTR 2100 **Schedule:** TR 02:35 pm-03:55 pm **Deadline to Apply:** 2026-06-19 _**McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence,[ accessibilityrequest.hr@mcgill.ca](mailto:accessibilityrequest.hr@mcgill.ca).**_", "summaryDescription" : "Course Lecturer at McGill University. 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Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** **Fall 2026** **Posting period** : June 1 – 12, 2026 **Deadline to apply:** June 12, 2026 **Salary** : $ 11 824/ course (including vacation pay). The Department of History and Classical Studies is inviting applications to teach a course in fall 2026. Please complete the online application form and upload required documents. Applications will be ranked according to the collective agreement between McGill University and the MCLIU. Preference will be given to the qualified applicant with the most priority points. McGill University is committed to equity in employment and diversity. All qualified applicants are encouraged to apply; however, Canadians and permanent residents will be given priority. **_Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located._** **_McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing._** **_This posting will expire at 00:00 am the day of the deadline to apply. You have until midnight the day before the deadline to apply to submit your application._** For any questions, please contact [jobsearch.histclas@mcgill.ca](mailto:jobsearch.histclas@mcgill.ca) **CLAS 230 D1 Introductory Modern Greek - 001** A course for beginners. August 31 - Dec 4, 2026: Monday & Wednesday (11:35 am - 12:55 pm) Leacock 617 **Teaching Qualification Requirements:** _Education_ : PhD or ABD in Greek language or Literature or related field preferred. _Experience_ : Experience in Greek language instruction required. _Others_ : Fluency in Greek required. This course will be taught by one instructor in-person. **Hiring Unit:** Department of History and Classical Studies **Course Title:** Introductory Modern Greek - 001 **Subject Code:** CLAS 230D1 001 **Location:** Leacock 617 **Schedule:** Monday & Wednesday (11:35am - 12:55 pm) **Deadline to Apply:** 2026-06-12 _**McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence,[ accessibilityrequest.hr@mcgill.ca](mailto:accessibilityrequest.hr@mcgill.ca).**_", "summaryDescription" : "Course lecturer at McGill University. Teach a course in fall 2026", "postedDate" : "2026-06-05T11:53:23.039", "createdAt" : "2026-06-11T11:53:22.959", "lastUpdated" : "2026-06-12T12:36:47.847", "ingestTimestamp" : "2026-06-11T11:53:22.959", "mongoId" : "6a265c9274d8ee00a0220181", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/Leacock-Building/Course-lecturer---CLAS-230-D1_JR0000077294", "salaryAnnualMin" : 22880, "salaryAnnualMax" : 22880, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Greek language", "Greek Literature" ], "skillCount" : 2, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 673.5043, "daysOld" : 7, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a265c9274d8ee00a0220166", "title" : "Course Lecturer", "company" : "McGill University", "salary" : { "min" : 11824.0, "max" : 11824.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-12T16:20:02.993", "fingerprint" : "affb1abda8dd9e4084ec9630a48ab68ef144a27ffa7ab49b6f1d9566847227da", "source" : "workday", "language" : "en", "applyUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/Raymond-Building/Course-Lecturer-BREE-510-Fall-2026_JR0000077100", "externalId" : "JR0000077100", "locationPoint" : "56.1304,-106.3468", "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Canada", "employmentType" : "PART_TIME", "minimumEducation" : "PhD", "professionalSkills" : [ "Watershed management", "Stakeholder engagement", "Water resources assessment", "Nature-based solutions", "Transboundary management" ], "hardSkillsList" : [ "Modeling" ], "hardSkills" : [ { "name" : "Modeling", "level" : "intermediate" } ], "majorSkills" : "Watershed Systems Management", "majorSkillsList" : [ "Watershed Systems Management" ], "coreResponsibilities" : "Teach BREE 510 Watershed Systems Management, Grade final exams", "teamCollaboration" : "Stakeholder engagement", "domainKnowledge" : "Water management; Agroecology; Bioresource Engineering; Integrated water resources management; Nature-based solutions; Transboundary management", "domainList" : [ "water-management", "agroecology", "bioresource-engineering", "integrated-water-resources-management", "nature-based-solutions", "transboundary-management" ], "domainSpecificKnowledge" : [ "Water management", "Agroecology", "Bioresource Engineering", "Integrated water resources management", "Nature-based solutions", "Transboundary management" ], "qualificationsBasic" : "PhD in relevant field, Bachelor in Engineering, Demonstrated experience course content, Extensive knowledge course content, Knowledge of McGill MyCourses, Knowledge of virtual learning platforms, Available for final exam grading", "qualificationsPreferred" : "Previous experience watershed organizations Quebec", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Please refer to the[How to Apply for a Job (for External Candidates)](https://www.mcgill.ca/hr/files/hr/apply_at_mcgill_university_-_guide_for_external_candidates_en.pdf) job aid for instructions on how to apply.** **If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** **Hiring unit:** Department of Bioresource Engineering **Course subject code and title:** BREE 510 Watershed Systems Management (CRN 385) 3 credits **Session:** Fall 2026: August 31 to December 31, 2026 (note exam period December 7-22, 2026) **Location and schedule:** Lecture – Raymond Building R4-045 Monday 10:05 a.m.-12:55 p.m. **Remuneration:** $11,824 **Education:** Ph.D. in relevant field (e.g., water management, agroecology, etc.) with a prior Bachelor in Engineering in a relevant field such as Bioresource Engineering. **Experience:** Demonstrated experience / extensive knowledge of the course content: collaborative, integrated and adaptive watershed management with a focus on integrated water resources management (IWRM). Topics include: stakeholder engagement, vertical and horizontal integration, participatory water resources planning and management, water resources assessment, modeling, adaptive management, nature-based solutions, and transboundary management. Previous experience working with/in watershed organizations in Quebec is important. **Other qualification requirement(s) :** The course is taught in-person. Knowledge of the McGill MyCourses learning management system and virtual learning platforms (e.g., Zoom, WebEx). Training and assistance on remote teaching is available through Teaching and Learning Services (TLS). **Note:** The McGill exam sessions take place over two weeks after the end of classes, and Course Lecturers are expected to be available on the day of a scheduled final exam and are required to grade final exams as part of their contract. _For general expectations, please refer to Articles 12.01 and 12.03 of the MCLIU Collective Agreement._ **Hiring Unit:** Bioresource Engineering **Course Title:** Watershed Systems Management **Subject Code:** BREE 510 001 **Location:** Raymond R4-045 **Schedule:** Monday 10:05 a.m.-12:55 p.m. **Deadline to Apply:** 2026-06-12 _**McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence,[ accessibilityrequest.hr@mcgill.ca](mailto:accessibilityrequest.hr@mcgill.ca).**_", "summaryDescription" : "Course Lecturer at McGill University. Skills: Watershed Systems Management. Teach BREE 510 Watershed Systems Management. 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Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** **Department of Mechanical Engineering Faculty of Engineering** **McGill University** **Fall 2026 Course Lecturer Position** **Deadline to Apply June 19, 2026 at 11:59 p.m.** The Department of Mechanical Engineering is inviting applications for a course lecturer position to teach in Fall 2026. Please include your cover letter and Curriculum Vitae and if applicable a copy of your Study/Work Permit. A brief course outline is optional. Course Lecturer MECH 632 – Advanced Mechanics of Materials **Teaching Qualification Requirements:** * Minimum of Ph.D. in Mechanical Engineering. * Minimum of three years’ experience teaching or in industry. * Demonstrated knowledge of spoken and written English. * Understanding cross-cultural practices. * Strong problem-solving skills and flexible approach to teaching. **Date** : August 31, 2026 - December 18, 2026 **Salary** : $11,824 _McGill University is an English-language university where most teaching and research activities are conducted in the English Language, thereby requiring English communication both verbally and writing._ For any questions, please contact Maggie Do Couto, Administrative Officer, Department of Mechanical Engineering: [adminofficer.mecheng@mcgill.ca](mailto:adminofficer.mecheng@mcgill.ca) **Hiring Unit:** Department of Mechanical Engineering **Course Title:** Advanced Mechanics of Materials **Subject Code:** MECH 632 **Location:** ENGTR 2100 **Schedule:** TR 02:35 pm-03:55 pm **Deadline to Apply:** 2026-06-19 _**McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence,[ accessibilityrequest.hr@mcgill.ca](mailto:accessibilityrequest.hr@mcgill.ca).**_", "summaryDescription" : "Course Lecturer at McGill University", "postedDate" : "2026-06-05T11:27:00.850", "createdAt" : "2026-06-11T11:27:00.842", "lastUpdated" : "2026-06-12T16:46:45.066", "ingestTimestamp" : "2026-06-11T11:27:00.842", "mongoId" : "6a2602d274d8ee00a01ee183", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/Macdonald-Eng-Bldg/Course-Lecturer---MECH-632-Advanced-Mechanics-of-Materials_JR0000077418", "salaryAnnualMin" : 11824, "salaryAnnualMax" : 11824, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Advanced Mechanics of Materials" ], "skillCount" : 1, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 672.21985, "daysOld" : 7, "hasLocation" : true, "hasGeo" : false }, { "id" : "69e104402beec4dd3def2501", "title" : "Business Intelligence Manager, AWS Infrastructure, S&OP Planning", "company" : "Amazon Data Services, Inc.", "industry" : "Business Intelligence, Business Intel Engineer, Cloud Computing", "salary" : { "min" : 143000.0, "max" : 194000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T06:04:32.908", "fingerprint" : "5cdb388f8298cb8c2ed33358552f01c3a59a06616ee81f0bb9838f4679607407", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10386218/apply", "externalId" : "059e04da-f9b0-4617-9261-e90aac851851", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, ETL, Tableau, Quicksight, R, Python, Weka, SAS, Matlab, Redshift, Glue, Airflow", "professionalSkills" : [ "Data engineering", "Business intelligence", "Data visualization", "Metrics design", "Performance measurement", "Reporting capabilities" ], "hardSkillsList" : [ "Data analysis", "Data mining", "Building visualizations", "Generating insights", "SQL coding", "Data modeling" ], "softSkillsList" : [ "Leadership", "Mentoring", "Critical thinking" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Building visualizations", "level" : "intermediate" }, { "name" : "Generating insights", "level" : "intermediate" }, { "name" : "SQL coding", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Critical thinking" } ], "majorSkills" : "Business intelligence, Data analytics, Data visualization", "majorSkillsList" : [ "Business intelligence", "Data analytics", "Data visualization" ], "coreResponsibilities" : "Lead design of scalable solutions, Develop scalable solutions, Maintain scalable solutions, Work with customers, Understand business problems, Propose impactful analyses, Propose impactful solutions, Partner with data engineers, Develop automated solutions, Develop deep understanding of data sources, Identify data sources, Manage prioritization of requests, Allocate work across team, Be responsible for communications, Lead creation of reporting solutions, Minimize ad hoc requests, Hire business intelligence engineers, Mentor business intelligence engineers, Develop business intelligence engineers, Serve as senior SME, Mentor for SQL, Mentor for visualization tools, Write high quality SQL, Retrieve data, Analyze data, Manage customer communication channels, Improve customer communication channels", "teamCollaboration" : "Business partners; Data engineers; Analytics teams; Business owners", "projectManagementSkills" : [ "Prioritization", "Work allocation" ], "domainKnowledge" : "AWS Infrastructure; Supply chain", "domainList" : [ "aws-infrastructure", "supply-chain" ], "domainSpecificKnowledge" : [ "AWS Infrastructure", "Supply chain" ], "toolProficiency" : [ "SQL", "Tableau", "Redshift", "Glue", "Airflow" ], "communicationSkills" : "Verbal communication; Written communication; Customer communication", "documentationSkills" : "Data dictionaries", "continuousLearning" : "Mentorship; Career growth", "innovationCreativity" : "Bold ideas", "problemSolvingSkills" : "Analytical abilities; Data-driven decision making", "qualificationsBasic" : "5+ years business intelligence experience, 5+ years managing BI team, Experience with SQL, Experience with ETL", "qualificationsPreferred" : "4+ years large data warehousing, 10+ years data warehouse technical architectures, 10+ years data modeling, 10+ years infrastructure components, 10+ years ETL/ELT, 10+ years reporting/analytic tools, 10+ years data structures, 10+ years hands-on SQL coding", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Data-driven decision-making is at the core of Amazon’s culture and people who are exceptionally talented at analyzing large sets of data to build insights are critical. Your work will directly impact the decisions and strategy of the entire AWS Infrastructure Services org and our customers. You will be gathering customer needs and insights, mining large and diverse data sets from across AWS Infrastructure, building visualizations and tools for our business partners, generating insights to help senior leaders make critical business decisions. Hence, the successful BIE will not only possess the expertise and passion for analyzing data, designing metrics to measure the performance of the business, and building reporting capabilities and tools, but also will interact directly with business leaders and teams that rely on the metrics and analyses that they produce. The successful candidate will be an expert in data analytics (data engineering and visualizations), and have exemplary verbal and written communication skills. The candidate will need to be comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. The candidate will have to work closely with business partners to answer key business questions through the analytics their team creates. This role requires an individual with excellent analytical abilities, deep knowledge of tools and platforms (like SQL, Tableau, Redshift, Glue, Airflow) for developing business intelligence solutions as well as ability to communicate clearly, and collaborate with both business owners and other analytics teams. Key job responsibilities - Lead the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs. - Work directly with customers to understand the business problems at hand and propose impactful analyses and solutions. - Partner with data engineers to develop automated solutions. - Develop a deep understanding of our vast data sources and identify which to use to solve specific business problems. - Manage prioritization of business intelligence requests, allocate work across the team, and be responsible for communications with our customers. - Lead the creation of user-friendly repeatable reporting solutions to minimize ad hoc customer requests. - Hire, mentor and develop business intelligence engineers. - Serve as a senior SME and mentor for SQL and visualization tools (e.g., Tableau). - Write high quality SQL to retrieve and analyze data from relational databases (e.g., AWS Redshift). - Manage and improve our internal customer communication channels (e.g., wikis, data dictionaries). About the team Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 5+ years of business intelligence and analytics experience - 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software - Experience with SQL & ETL Preferred Qualifications: - 4+ years of working with very large data warehousing environment experience - 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 143,400.00 - 194,000.00 USD annually", "summaryDescription" : "Business Intelligence Manager, AWS Infrastructure, S&OP Planning at Amazon Data Services, Inc.. Skills: Business intelligence, Data analytics, Data visualization. Lead design of scalable solutions. 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Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** **McGill Institute for the Study of Canada Faculty of Arts McGill University** **Deadline to apply: June 12** , 2026 **Salary:** $11,824 per course **Credits for Course** : 3 Please complete the application form and upload a cover letter and curriculum vitae. Teaching evaluations and or a brief course outline are optional. Applications will be ranked according to the collective agreement between McGill University and the MCLIU. Preference will be given to the qualified applicant with the most priority points. Application file for CANS 300, Topics in Canadian Studies (3 credits): **All candidates :** Proposed course outline or sample syllabus; Letter of application; If available, your student evaluations. For candidates who have previously taught in the Department : Updated Curriculum vitae; International applicants: submission of Work Permit is not required, unless the Work Permit has expired. **For new candidates :** Curriculum vitae; International applicants: copy of your Work Permit. **Teaching Qualification Requirements:** Education: Master Degree, PhD preferred or ABD in Quebec History or related field required. Expertise in history of Quebec and Canada preferred Experience: Teaching experience in related coursework at the university level preferred. Other: Recognized disciplinary expertise related to Quebec studies; Teaching experience at the undergraduate level; Ability to integrate multidisciplinary content in Quebec Studies; Ability to integrate speakers from various sectors and backgrounds; Ability to communicate in a clear and accessible manner; Ability to put students at the heart of the teaching process. **Schedule:** F11:35 am-02:25 pm, August 31 2026 – December 4, 2026. **Location:** FERR 408 ** _Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located._** **_McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing._** **Hiring Unit:** McGill Institute for the Study of Canada **Course Title:** Topics in Canadian Studies 1 **Subject Code:** CANS 300 001 **Location:** FERR 408 **Schedule:** F 11:35 am-02:25 pm **Deadline to Apply:** 2026-06-12 _**McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence,[ accessibilityrequest.hr@mcgill.ca](mailto:accessibilityrequest.hr@mcgill.ca).**_", "summaryDescription" : "Course Lecturer at McGill University. Skills: Quebec History, Canadian History. Teach CANS 300. Integrate multidisciplinary content", "postedDate" : "2026-06-05T13:34:55.798", "createdAt" : "2026-06-11T13:34:55.710", "lastUpdated" : "2026-06-12T07:59:35.507", "ingestTimestamp" : "2026-06-11T13:34:55.710", "mongoId" : "6a26569674d8ee00a021d518", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/Ferrier-Building/Course-Lecturer-CANS-300_JR0000076916", "salaryAnnualMin" : 11824, "salaryAnnualMax" : 11824, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Quebec History", "Canadian History", "Clear communication", "Accessible communication", "Student focus", "Multidisciplinary content integration", "Speaker integration", "Canadian Studies" ], "skillCount" : 8, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 671.351, "daysOld" : 6, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a265c9274d8ee00a0220141", "title" : "Course Lecturer", "company" : "McGill University", "salary" : { "min" : 45000.0, "max" : 75000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Course Lecturer in Education in Canada, adjusted for part-time employment." }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-12T18:37:35.269", "fingerprint" : "372f7bca9c040baf0d9e04e0d0e302dc68034a94bfaa6668227574d298b64d67", "source" : "workday", "language" : "en", "applyUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/Stewart-Biology-Bldg/Course-Lecturer-ATOC-182_JR0000076367", "externalId" : "JR0000076367", "locationPoint" : "56.1304,-106.3468", "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Canada", "employmentType" : "PART_TIME", "minimumEducation" : "PhD", "majorSkills" : "Oceanic Sciences, Physical Oceanography, Climate Change", "majorSkillsList" : [ "Oceanic Sciences", "Physical Oceanography", "Climate Change" ], "coreResponsibilities" : "Prepare formal lectures, Lead class discussions, Administer tests, Administer examinations, Mark assignments, Mark tests, Submit final grades online", "domainKnowledge" : "Physical oceanography; Seawater properties; Sea ice; Air-sea interaction; Seafloor topography; Ocean circulation; Waves; Tides; Oceans in climate; Human activities impact; Ocean biogeochemistry; Climate change", "domainList" : [ "physical-oceanography", "seawater-properties", "sea-ice", "air-sea-interaction", "seafloor-topography", "ocean-circulation", "waves", "tides", "oceans-in-climate", "human-activities-impact", "ocean-biogeochemistry", "climate-change" ], "domainSpecificKnowledge" : [ "Physical oceanography", "Seawater properties", "Sea ice", "Air-sea interaction", "Seafloor topography", "Ocean circulation", "Waves", "Tides", "Oceans in climate", "Human activities impact", "Ocean biogeochemistry", "Climate change" ], "specialRequirements" : "Authorized to work in Canada, Willing to work in Quebec", "qualificationsBasic" : "PhD in Atmospheric and Oceanic Sciences, Prior experience teaching similar courses at McGill, Relevant teaching at university or college level", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Please refer to the[How to Apply for a Job (for External Candidates)](https://www.mcgill.ca/hr/files/hr/apply_at_mcgill_university_-_guide_for_external_candidates_en.pdf) job aid for instructions on how to apply.** **If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** **Hiring unit:** Atmospheric and Oceanic Sciences **Course:** Introduction to Oceanic Sciences ATOC 182 - Fall 2026 (3 Credits) **Course Description:** An introduction to oceanic sciences with particular emphasis on physical oceanography. Topics typically include seawater properties, sea ice, air-sea interaction, seafloor topography, large-scale ocean circulation, waves, tides, physical control of biological processes, the role of oceans in climate, and impact of human activities. **Job Description** : * Prepare formal lectures and lead class discussions on the topics of seawater properties, wind-driven and geostrophic ocean circulations, and possibly on ocean biogeochemistry and climate change related topics. * Administer tests and examinations in conformity with McGill regulations. * Mark assignments and tests and submit final grades online using McGill systems. Class lectures are 3 hours per week for 13 weeks per term (31-Aug-2026 to 04-Dec-2026) The number of TAs is linked to the enrollment, which is forecast to be 150 students. **Teaching Qualification Requirements** : Must have a PhD in Atmospheric and Oceanic Sciences, or a related field. Must have prior experience teaching similar courses at McGill, or relevant teaching at a university or college level. **Schedule:** Lecture: MW 08:35 am-09:55 am STBIO S1/3 ** _Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located._** **_McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing._** **Hiring Unit:** Department of Atmospheric and Oceanic Sciences **Course Title:** Introduction to Oceanic Sciences **Subject Code:** ATOC 182 001 **Location:** STBIO S1/3 **Schedule:** MW 08:35 am-09:55 am **Deadline to Apply:** 2026-06-12 _**McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence,[ accessibilityrequest.hr@mcgill.ca](mailto:accessibilityrequest.hr@mcgill.ca).**_", "summaryDescription" : "Course Lecturer at McGill University. Skills: Oceanic Sciences, Physical Oceanography, Climate Change. Prepare formal lectures. Lead class discussions", "postedDate" : "2026-06-05T13:34:05.132", "createdAt" : "2026-06-11T13:34:05.109", "lastUpdated" : "2026-06-12T18:37:35.269", "ingestTimestamp" : "2026-06-11T13:34:05.109", "mongoId" : "6a265c9274d8ee00a0220141", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/Stewart-Biology-Bldg/Course-Lecturer-ATOC-182_JR0000076367", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Oceanic Sciences", "Physical Oceanography", "Climate Change", "Physical oceanography", "Seawater properties", "Sea ice", "Air-sea interaction", "Seafloor topography", "Ocean circulation", "Waves", "Tides", "Oceans in climate", "Human activities impact", "Ocean biogeochemistry", "Climate change" ], "skillCount" : 15, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 669.77734, "daysOld" : 7, "hasLocation" : true, "hasGeo" : false }, { "id" : "69def2ea2beec4dd3db85fe2", "title" : "Data Analyst", "company" : "Office of the State Auditor", "industry" : "Government", "salary" : { "min" : 74374.0, "max" : 111561.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Massachusetts-Boston", "locations" : [ "Massachusetts-Boston", "Administrative Services", "Office of the State Auditor, Full-time, Full-time" ], "timestamp" : "2026-06-15T10:21:00.010", "fingerprint" : "1254b22e41134819c571f0eb84ecc59300447337665078d3948a35d24e4ad44e", "source" : "taleo", "language" : "en", "applyUrl" : "https://massanf.taleo.net/careersection/ex/jobdetail.ftl?job=1082496", "externalId" : "1082496", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "technicalSkills" : "SQL, T-SQL, SSMS, Excel, R, Python", "professionalSkills" : [ "Data analysis", "Data visualization", "Data modeling", "Relationship management", "Customer service" ], "hardSkillsList" : [ "Data acquisition", "Data collection", "Data discovery", "Statistical analysis", "Linear regression", "Logical regression", "Factor analysis", "Discriminant analysis", "Cluster analysis" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Data acquisition", "level" : "intermediate" }, { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data discovery", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Linear regression", "level" : "intermediate" }, { "name" : "Logical regression", "level" : "intermediate" }, { "name" : "Factor analysis", "level" : "intermediate" }, { "name" : "Discriminant analysis", "level" : "intermediate" }, { "name" : "Cluster analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Data analysis, Data visualization, SQL, Excel", "majorSkillsList" : [ "Data analysis", "Data visualization", "SQL", "Excel" ], "coreResponsibilities" : "Understand data structure, Understand metadata, Develop SQL queries, Extract information, Manipulate information, Summarize information, Assist analysis of data, Draw correct inferences, Work with agency stakeholders, Review requests for service, Review requests for assistance, Translate data service requirements, Summarize data, Calculate data, Model data, Assist mentoring analysts, Ensure compliance HIPAA, Ensure compliance Federal data policies, Ensure compliance State data policies, Interface with audit teams, Assist analysis of audits, Analyze complex data, Identify anomalies, Identify trends, Identify risk, Address ad-hoc analytics requests, Support data acquisition, Support data collection, Support data discovery, Prepare written summaries, Manage relationships, Establish cross functional interaction, Explain data indications, Explain results indications, Assist with presentations, Present across management levels, Present across teams, Create narratives with data, Maintain up-to-date skills", "teamCollaboration" : "Agency stakeholders; Audit teams; External organizations; Business managers; IT specialists; Cross functional interaction", "domainKnowledge" : "HIPAA; Federal data policies; State data policies; Public policy context", "domainList" : [ "hipaa", "federal-data-policies", "state-data-policies", "public-policy-context" ], "domainSpecificKnowledge" : [ "HIPAA", "Federal data policies", "State data policies", "Public policy context" ], "toolProficiency" : [ "SSMS", "Qlik", "Cognos", "ArcGIS", "Tableau", "Excel" ], "communicationSkills" : "Written presentations; Oral presentations; Executive presentations", "documentationSkills" : "Supporting documentation; Proper documentation", "continuousLearning" : "New languages; New tools; New technologies", "problemSolvingSkills" : "Data analysis; Data interpretation", "qualificationsBasic" : "Bachelor's Degree related discipline, Demonstrated T-SQL writing, Demonstrated data analysis tools, Ability to work large datasets, Knowledge of data analysis techniques, Advanced Excel capabilities, Knowledge of data analytics, Knowledge of data modeling, Knowledge of data visualization, Exposure to database concepts, Excellent written communication skills, Excellent verbal communication skills, Ability to read English, Ability to write English, Ability to comprehend English, Solid customer service skills, Solid relationship management skills, Proven ability to work autonomously, Proven ability to work in teams, Experience with relational database structures, Experience with multidimensional data structures", "qualificationsPreferred" : "Three years job experience, Build effective relationships, Use analytical techniques, Experience with social network visualization, Experience in data mining, Analytics software languages experience, Experience with statistical analysis, Translate quantitative analysis non-technical audience, Understanding effective data analytics utilization, Proficient in SQL, Experience using data public policy", "remoteFriendly" : false, "rawDescription" : "SALARY RANGE (Grade 13) CSA229: $74,374.37/yr. -- $111,561.54/yr. (Commensurate with experience) GENERAL STATEMENT OF DUTIES The Data Analyst engages in projects to address key information needs of the OSA and enhance the OSA’s efforts to assimilate data analytics into its work processes. Data Analyst is responsible for extracting, aggregating and visualizing critical data to derive value and insights to support the work of the OSA. SUPERVISION RECEIVED Receives general supervision and direction from the Director of Data Analytics. SUPERVISION EXERCISED Provides technical supervision over 1-3 contract personnel on an as needed or project basis. DUTIES AND RESPONSIBILITIES · Understand the data structure and metadata available in all OSA technical environments. · Develop SQL queries to extract, manipulate, and summarize information. · Assist team members in analysis of given data and draw correct inferences, in keeping the objectives of the analysis in mind. · At management direction work with agency stakeholders on content clarity and meeting technical requirements. · Review requests for service / assistance created by other OSA business units for quality and proper documentation. · Translate data service requirements and summarize, calculate or model data using OSA standard tools. · Assist Data Analyst II with mentoring analysts from other business units on analytic practices and the use of the OSA’s analytic tool set. · Ensure compliance with HIPAA and other Federal and State required data policies/best practices. · Interface with audit teams and external organizations assisting in the analysis of audits. · Analyze complex internal / external data, identify anomalies, trends and risk. · Address ad-hoc analytics requests to support projects. · Support and perform data acquisition/data collection and data discovery. · Prepare written summaries with supporting documentation/data readily available to accompany results of analyses. · Manage relationships and establish proactive cross functional interaction with auditors, business managers and IT specialists. · Explain clearly what the data and results indicate and how it can be utilized to support the project objectives. · Assist teams with oral and written presentations to internal or external entities during and at the conclusion of projects. · Present across multiple levels of management and teams with strong comprehension of multi-domains to create narratives with data. · Maintain up to-date skills of new languages, tools and technologies. MINIMUM QUALIFICATIONS The successful candidate will possess and/or demonstrate: · A Bachelor’s Degree in a related discipline (Finance / Accounting, Statistics, Economics, etc.). · Demonstrated ability in writing T-SQL and using SSMS or other query tools. · Demonstrated ability in data analysis and visualization tools (Qlik, Cognos, ArcGIS, Tableau). · Ability to work with large datasets. · Knowledge of data analysis techniques. · Highly organized with attention to detail. · Flexibility to meet continuously changing priorities and challenges. · Advanced Excel capabilities and related data manipulation required. · Knowledge of data analytics, data modeling and data visualization. · Advanced Excel capabilities (i.e. pivot tables, VLOOKUP function, graphing). · Ability to visualize the analytics results in effective manner. · Exposure to database concepts to help acquire, query and maintain the data environment (MS SQL or others). · Excellent written and verbal communication skills. · Ability to read, write and comprehend the English language. · Solid customer service and relationship management skills. · Proven ability to work autonomously and in teams. · Experience with relational database structures and multidimensional data structures. PREFERRED QUALIFICATIONS Demonstrated experience and expertise in the following areas will also be important considerations: · A minimum of three years of job experience in a similar role. · Demonstrated ability to build effective relationships across diverse internal and external groups. · Ability to use analytical techniques such as critical and conceptual thinking to objectively analyze situations. · Experience with social network visualization tools. · Experience in data mining. · A degree in accounting or finance or relevant experience a plus. · Experience in analytics software languages (R, Python or others). · Experience with statistical analysis such as linear regression, logical regression, factor analysis, discriminant analysis and cluster analysis. · Experience translating complex quantitative analysis to a non-technical audience. · Strong understanding of the effective utilization of data analytics. · Proficient in SQL and demonstrated ability in data analysis, business intelligence and visualization tools i.e. QlikView/Sense, Tableau or alternative data visualization package. · Experience using data in a public policy context. Salary is commensurate with experience. The Office of the State Auditor is committed to providing equal employment opportunities. Employment actions such as recruiting, hiring, training, and promoting individuals are based upon a policy of non-discrimination. Employment decisions and actions are made without regard to race, color, gender, religion, age, national origin, ancestry, sexual orientation, gender identity and expression, disability, military status, genetic information, political affiliation, or veteran’s status. Data Analyst I", "summaryDescription" : "Data Analyst at Office of the State Auditor. Skills: Data analysis, Data visualization, SQL, Excel. Understand data structure. Understand metadata", "createdAt" : "2026-06-14T07:54:03.407", "lastUpdated" : "2026-06-15T10:21:00.010", "ingestTimestamp" : "2026-06-14T07:54:03.407", "mongoId" : "69def2ea2beec4dd3db85fe2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 74374, "salaryAnnualMax" : 111561, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Data acquisition", "Data collection", "Data discovery", "Statistical analysis", "Linear regression", "Logical regression", "Factor analysis", "Discriminant analysis", "Cluster analysis", "Critical thinking", "Data analysis", "Data visualization", "SQL", "Excel", "Data modeling", "Relationship management", "Customer service", "HIPAA", "Federal data policies", "State data policies", "Public policy context", "SSMS", "Qlik", "Cognos", "ArcGIS", "Tableau" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 666.8134, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb677aa8", "title" : "Sales Data Analysis", "company" : "Beijing Mercedes-Benz Sales Service Co.", "industry" : "Retail", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a junior sales data analyst in Beijing, China, with adjustments for the automotive industry and company size." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "Daimler Tower, 8 Wangjing Street, , Beijing" ], "timestamp" : "2026-06-15T13:43:47.516", "fingerprint" : "6cb0dd412af2e7f9ea9660c00f521a0f4655e5f18db98b0278517305d4f706d0", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=883272", "externalId" : "883272", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, Tableau, Power BI", "professionalSkills" : [ "Market trend analysis", "Sales performance analysis", "Data visualization" ], "hardSkillsList" : [ "Data extraction", "Data processing", "Data validation", "Sales reporting", "Dashboard creation" ], "hardSkills" : [ { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Sales reporting", "level" : "intermediate" }, { "name" : "Dashboard creation", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Sales reporting, Data visualization", "majorSkillsList" : [ "Data analysis", "Sales reporting", "Data visualization" ], "coreResponsibilities" : "Extract, process, and validate sales data, Support sales reporting and performance, Prepare accurate and timely sales reports, Assist in market trend analysis, Assist in ad-hoc topics analysis, Prepare presentation for sales related, Collaborate with IT and data teams, Ensure data integrity and accessibility, Cleanse and validate data, Maintain data extraction processes and scripts, Report on sales KPIs, Deliver month-end/year-end retail landing results, Create dashboards, analysis, reports, and visualizations, Provide business insight, Analyze market trends and sales performance, Support tactical teams with data, Help prepare presentation materials, Document data extraction and reporting processes, Improve data structures and reporting efficiency, Ensure compliance with data security and governance policies", "teamCollaboration" : "Collaborate with IT; Collaborate with data teams", "domainKnowledge" : "Sales reporting; Automotive industry; Sales industry", "domainList" : [ "sales-reporting", "automotive-industry", "sales-industry" ], "domainSpecificKnowledge" : [ "Sales reporting", "Automotive industry", "Sales industry" ], "toolProficiency" : [ "SQL", "Python", "R", "Excel Power Query", "Tableau Prep", "Alteryx", "Tableau", "Power BI" ], "communicationSkills" : "Presentation preparation", "documentationSkills" : "Document data extraction; Document reporting processes", "problemSolvingSkills" : "Data analysis; Ad-hoc analysis", "outcomesObjectives" : "Support sales reporting and performance; Prepare accurate and timely sales reports; Deliver month-end/year-end retail landing results", "qualificationsBasic" : "Bachelor degree or above, Data analysis tools or scripting, SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, English level CET 6", "qualificationsPreferred" : "Data Science, Business, Information Systems, or related fields, Familiarity with data visualization tools, 2 years' experience in data extraction, reporting, or automotive or sales industry background, High attention to detail, Commitment to data accuracy", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Objective of job: 1. Extract, process, and validate sales data from data lakes and databases using data analysis tools or scripting methods (SQL, database, & etc.) to support sales reporting and performance tracking; 2. Prepare accurate and timely sales reports to support sales steering; 3. Assist in market trend analysis and ad-hoc topics analysis ; 4. Presentation preparation for sales related topics; 5. Collaborate with IT and data teams to ensure data integrity and accessibility for sales reporting. Task description: 1. Data Extraction & Processing - Extract sales data from data sources using appropriate tools or scripts - Cleanse and validate data to ensure accuracy and consistency - Maintain data extraction processes and scripts (where applicable) 2. Sales Reporting & Dashboards - Responsible for in-time and accurate operational report and analysis for central and region sales & marketing (daily reports) - Proactively reporting on sales KPIs include but not limited to sales pace, RT/WS TA achievement, showroom traffic, order performance and sales funnel on different data granularities - Month-end/year-end retail landing result delivery - Leading interpretation of business requirements to create dashboards, analysis, reports, and other data visualizations that provide business insight 3. Basic Market & Sales Analysis - Assist in analyzing market trends and sales performance based on extracted data - Support tactical teams with data for ad-hoc analysis - Help prepare presentation materials with reliable data inputs 4. Process & Data Governance - Document data extraction and reporting processes - Work with IT to improve data structures and reporting efficiency - Ensure compliance with data security and governance policies. - Bachelor degree or above, preferably in Data Science, Business, Information Systems, or related fields. - Practical experience in using data analysis tools or scripting for data extraction and processing (e.g., SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, or similar). - Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. - English level-CET 6 and above. - 2 years’ experience in data extraction, reporting, or analysis; automotive or sales industry background preferred. - High attention to detail and a strong commitment to data accuracy. Beijing Mercedes-Benz Sales Service Co., Ltd.", "summaryDescription" : "Sales Data Analysis at Beijing Mercedes-Benz Sales Service Co.. Skills: Data analysis, Sales reporting, Data visualization. Extract, process, and validate sales data. Support sales reporting and performance", "createdAt" : "2026-06-14T06:42:27.615", "lastUpdated" : "2026-06-15T13:43:47.516", "ingestTimestamp" : "2026-06-14T06:42:27.615", "mongoId" : "69ce5e3b9bc74574cb677aa8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data extraction", "Data processing", "Data validation", "Sales reporting", "Dashboard creation", "Data analysis", "Data visualization", "Market trend analysis", "Sales performance analysis", "Automotive industry", "Sales industry", "SQL", "Python", "R", "Excel Power Query", "Tableau Prep", "Alteryx", "Tableau", "Power BI" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 660.02594, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6ac174d8ee00a090db83", "title" : "Network Planning Data Scientist (Director)", "company" : "Atlas Air", "industry" : "Logistics", "salary" : { "min" : 191000.0, "max" : 258000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "White Plains, NY, USA", "locations" : [ "White Plains", "NY", "USA" ], "certifications" : [ "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification" ], "timestamp" : "2026-06-15T10:38:47.702", "fingerprint" : "13498d16bdbb621f0d2b5fb25f675cc917a3a69e7c2f5b2ec63ea3efe8d5d71e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.atlasairworldwide.com/careers/job-board/?gh_jid=4245189009", "externalId" : "4245189009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "White Plains", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.0339862,-73.7629097" } ], "locationText" : "White Plains, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, R, Scala, Spark, SQL, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Network planning", "Decision support", "Reporting tools", "Data analysis", "Scenario evaluation" ], "hardSkillsList" : [ "Statistical analysis", "Modeling", "Scenario evaluation" ], "softSkillsList" : [ "Analytical skills", "Problem-solving skills" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Modeling", "level" : "intermediate" }, { "name" : "Scenario evaluation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical skills" }, { "name" : "Problem-solving skills" } ], "majorSkills" : "Network planning, Data analysis, Modeling", "majorSkillsList" : [ "Network planning", "Data analysis", "Modeling" ], "coreResponsibilities" : "Analyze network performance, Monitor network performance, Track network delays, Assess capacity utilization, Identify efficiency opportunities, Identify reliability improvements, Develop KPIs, Maintain KPIs, Build decision-support tools, Build reporting tools, Build dashboards, Translate data into strategies, Protect service quality, Maximize network efficiency", "teamCollaboration" : "Operational teams; Planning processes", "domainKnowledge" : "Cargo network; Aviation logistics; Network delays; Capacity utilization; Operating constraints", "domainList" : [ "cargo-network", "aviation-logistics", "network-delays", "capacity-utilization", "operating-constraints" ], "domainSpecificKnowledge" : [ "Cargo network", "Aviation logistics", "Network delays", "Capacity utilization", "Operating constraints" ], "toolProficiency" : [ "Tableau", "Power BI" ], "communicationSkills" : "Convey complex findings", "problemSolvingSkills" : "Problem-solving; Analytical skills", "outcomesObjectives" : "Improve reliability; Streamline planning processes", "qualificationsBasic" : "5+ years experience, SQL proficiency, Statistical analysis experience, Modeling experience, Scenario evaluation experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join Atlas Air Worldwide. Move the World with Us! At Atlas Air Worldwide, we’re not just an airline, we’re a global engine powering cargo, passenger, and leasing operations across more than 70 countries. As a leader in outsourced aviation logistics, we’re built on a foundation of safety, service excellence, integrity, innovation, teamwork, and responsibility. With over 30 years of history, a modern all-Boeing fleet, and nearly 5,000 teammates collaborating across operations, technical, and corporate functions, we’re driven by purpose. If you're ready to grow, innovate, and help us deliver excellence every single day, you belong here. Position Summary: Atlas Air is seeking a detail-oriented and analytical Network Planning Analyst to help optimize our global cargo network. This role plays a critical part in the 2-year to 11-day planning window, driving insights that enable operational teams to execute the most efficient and reliable schedules. The successful candidate will provide actionable analysis on network delays, utilization trends, and operating performance, build models and reports to govern network operating parameters, and contribute to the development and implementation of software optimization tools that improve reliability and streamline planning processes. This position requires strong analytical skills, a proactive approach to problem-solving, and the ability to translate data into operational strategies that protect service quality and maximize network efficiency. Values and Behavioral Standards: To ensure the effective communication and application of company values and behavioral standards, as stated in our company “Code of Conduct” policy, and to respond appropriately in the event of deviations. The employee is expected to adhere to all company policies and to act as a role model in the adherence to company policies. Major Job Accountabilities: Analyze and Monitor Network Performance Track and assess network delays, capacity utilization, and operating constraints to identify opportunities for efficiency gains and reliability improvements. Develop and maintain key performance indicators (KPIs) for network operations and planning effectiveness. Modeling experience building decision-support tools, reporting tools dashboards (e.g., Tableau, Power BI) Strong analytical skills with experience in statistical analysis, modeling, and scenario evaluation. Strong problem-solving skills with the ability to work in a fast-paced, dynamic environment. Excellent communication skills with the ability to convey complex analytical findings to non-technical stakeholders. A proactive, solution-focused mindset with a passion for operational excellence and continuous improvement. Knowledge of operations, scheduling, and capacity planning, ideally in airlines, transportation or other complex network operations #GH19 #LI-Hybrid #LI-20 The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws. If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document by clicking \"EEO Is The Law\" . To view our Pay Transparency Statement, please click here: Pay Transparency Statement Competitive compensation will be offered based on a variety of factors, including a candidate's experience, skills, education, geographic location, internal equity and other factors. In addition, a range of benefits to include medical, dental and vision insurance, employee assistance program, as well as generous paid time off, and 401K contributions are offered as a part of the total compensation package. Pay Range $191,000—$258,000 USD At Atlas Air Worldwide, we believe in the power of people, the promise of innovation, and the responsibility we hold to each other, to our customers, and to the planet. Join us and be part of a team that lifts more than cargo; we lift ambition.", "summaryDescription" : "Network Planning Data Scientist (Director) at Atlas Air. Skills: Network planning, Data analysis, Modeling. Analyze network performance. Monitor network performance", "postedDate" : "2026-06-14T02:46:47.257", "createdAt" : "2026-06-14T02:46:47.257", "lastUpdated" : "2026-06-15T10:38:47.702", "ingestTimestamp" : "2026-06-14T02:46:47.257", "mongoId" : "6a2c6ac174d8ee00a090db83", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 191000, "salaryAnnualMax" : 258000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Modeling", "Scenario evaluation", "Analytical skills", "Problem-solving skills", "Network planning", "Data analysis", "Decision support", "Reporting tools", "Cargo network", "Aviation logistics", "Network delays", "Capacity utilization", "Operating constraints", "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification", "Tableau", "Power BI" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 655.60504, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cd28274d8ee00a0a34875", "title" : "Data Analyst", "company" : "PRISM+", "industry" : "Computer Hardware", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Analyst in Singapore's E-commerce industry, adjusted for company size and location." }, "location" : "Singapore, Singapore, Singapore", "locations" : [ "Singapore, Singapore, Singapore" ], "timestamp" : "2026-06-15T07:43:47.721", "fingerprint" : "c187f8694112f5f7c6b089dd44902e7a70e0756d92913e9fba0deb47021587da", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/D6E5B86A2F/apply", "externalId" : "D6E5B86A2F", "industryFunction" : { }, "locationPoint" : "1.3521,103.8198", "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, SQL, Google Sheets", "professionalSkills" : [ "Data analysis", "Data presentation", "Stakeholder management", "Performance reporting" ], "hardSkillsList" : [ "Data cleaning", "Data analysis", "Data visualization", "Reporting" ], "hardSkills" : [ { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Data visualization, Reporting", "majorSkillsList" : [ "Data analysis", "Data visualization", "Reporting" ], "coreResponsibilities" : "Extract data, Clean data, Present data, Analyze operational data, Identify trends, Identify patterns, Identify areas for improvement, Provide actionable insights, Develop dashboards, Maintain dashboards, Ensure data accuracy, Ensure data integrity, Prepare performance reports, Track progress against goals, Collaborate with team members, Interpret data, Implement improvements, Perform adhoc tasks", "teamCollaboration" : "Collaborate with team members; Present to stakeholders", "domainKnowledge" : "Consumer technology", "domainList" : [ "consumer-technology" ], "domainSpecificKnowledge" : [ "Consumer technology" ], "toolProficiency" : [ "Google Sheets" ], "communicationSkills" : "Present technical findings", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Identify areas for improvement; Track progress against goals", "qualificationsBasic" : "Diploma or Bachelor's Degree, Proficiency in Python, Proficiency in SQL, Proficiency in Google Sheets, Knowledge of data visualization tools, Ability to present data insights effectively, Excellent problem-solving skills, Ability to work with large datasets, Communication skills", "qualificationsPreferred" : "Work with complex datasets", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "PRISM+ is Singapore’s leading homegrown electronics brand, with a presence across key markets in Australia, Malaysia and the Philippines. The brand’s mission is to make premium technologies accessible to the masses—disrupting established industries with innovation and value that goes beyond the product. PRISM+ was founded in 2017 as a direct-to-consumer (D2C) display technology specialist, where it quickly grew to become the number one monitor and smart TV brand in Singapore. Best known and loved for its affordable premium offerings and award-winning customer experience, the brand has expanded its offerings to include a wide range of affordable premium home electronics and appliances. Join us at PRISM+ and become part of a journey where innovation meets impact, and every day offers a chance to shape the future of consumer technology. Discover a career where your ideas matter, your growth is nurtured, and together, we create a brighter tomorrow. **Responsibilities** * Extract, clean and present data in an understandable manner to respective department leads * Analyze operational data to identify trends, patterns, and areas for improvement * Provide actionable insights to the respective stakeholders * Develop and maintain dashboards for real-time monitoring of key performance metrics * Ensure data accuracy and integrity in all reporting systems * Prepare regular performance reports to track progress against goals * Collaborate with team members to interpret data and implement improvements * Any other adhoc tasks as assigned by the Company **Requirements** * Diploma or Bachelor's Degree in Data Analytics/Science or a related field * Proficiency in data analysis tools such as Python, SQL, and Google Sheets * Strong knowledge of data visualization tools and ability to present data insights effectively. * Excellent problem-solving skills and ability to work with large and complex datasets. * Strong communication skills, with the ability to present technical findings to non-technical stakeholders.", "summaryDescription" : "Data Analyst at PRISM+. Skills: Data analysis, Data visualization, Reporting. Extract data. Clean data", "postedDate" : "2026-06-12T00:00:00.000", "createdAt" : "2026-06-13T22:01:21.678", "lastUpdated" : "2026-06-15T07:43:47.721", "ingestTimestamp" : "2026-06-13T22:01:21.678", "mongoId" : "6a2cd28274d8ee00a0a34875", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/D6E5B86A2F", "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data cleaning", "Data analysis", "Data visualization", "Reporting", "Data presentation", "Stakeholder management", "Performance reporting", "Consumer technology", "Google Sheets" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 646.8501, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb21174d8ee00a09dff0f", "title" : "Strategic Workforce Planning Expert", "industry" : "Human Resources", "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-15T06:56:23.901", "fingerprint" : "12ed18bb70ed158b8ca9d09384998f8507d3afb65e0d93275fcc386ced075e84", "source" : "lever", "applyUrl" : "https://jobs.lever.co/jobgether/0adfd39f-daaa-4dca-8902-2056b1968f53/apply", "externalId" : "0adfd39f-daaa-4dca-8902-2056b1968f53", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "remote" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "hardSkillsList" : [ "workforce planning", "scenario modeling", "headcount planning", "workforce cost analysis", "sensitivity analysis" ], "softSkillsList" : [ "curious mindset, analytical thinking" ], "hardSkills" : [ { "name" : "workforce planning", "level" : "intermediate" }, { "name" : "scenario modeling", "level" : "intermediate" }, { "name" : "headcount planning", "level" : "intermediate" }, { "name" : "workforce cost analysis", "level" : "intermediate" }, { "name" : "sensitivity analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "curious mindset, analytical thinking" } ], "majorSkills" : "Strategic Workforce Planning, People Analytics, Data Visualization, Storytelling, Stakeholder Management", "majorSkillsList" : [ "Strategic Workforce Planning, People Analytics, Data Visualization, Storytelling, Stakeholder Management" ], "coreResponsibilities" : "Develop, validate, and iterate workforce planning scenarios across multiple organizational units to support both operational and strategic workforce decisions. Apply structured workforce planning methodologies including scenario modeling, sensitivity analysis, and workforce cost modeling. Optimize and enhance workforce planning platforms (e. g. , Visier Planning) to improve analytical depth, usability, and insight generation. Translate complex workforce and HR datasets into clear, actionable insights and recommendations for business stakeholders. Enable HR business partners and organizational teams to independently use workforce planning tools and methodologies through training and support. Collaborate with People Insights, HR COEs, and business leaders to align workforce planning with broader talent and people strategies. Partner with data science and AI teams to identify opportunities for automation and advanced analytics in workforce planning processes. Support continuous improvement of tools, models, and frameworks used in workforce analytics. Provide storytelling-driven analysis and visualization to support decision-making across global stakeholders.", "teamCollaboration" : "Ability to work collaboratively across organizational boundaries with a proactive and curious mindset.", "toolProficiency" : [ "Visier Planning, Visier" ], "communicationSkills" : "communication skills; storytelling skills", "innovationCreativity" : "analytical thinking with a focus on process improvement and innovation.", "problemSolvingSkills" : "process improvement; innovation", "specialRequirements" : "We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "qualificationsBasic" : "Proven experience in strategic workforce planning, people analytics, or HR analytics within complex, global organizations. expertise in scenario modeling, headcount planning, workforce cost analysis, and sensitivity analysis. Hands-on experience with workforce planning platforms such as Visier, including optimization and enhancement work. Ability to translate complex data into clear business insights through data visualization and storytelling skills. Experience enabling and training business users to adopt analytical tools and workforce planning practices. Familiarity with AI-enabled analytics tools and emerging workforce planning technologies. stakeholder management and communication skills across global and cross-functional teams. Ability to work collaboratively across organizational boundaries with a proactive and curious mindset. analytical thinking with a focus on process improvement and innovation. Bachelor’s degree in HR, Business, Data Analytics, or a related field (or equivalent experience). Fluent English (written and spoken) required.", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Develop, validate, and iterate workforce planning scenarios across multiple organizational units to support both operational and strategic workforce decisions. Apply structured workforce planning methodologies including scenario modeling, sensitivity analysis, and workforce cost modeling. Optimize and enhance workforce planning platforms (e.g., Visier Planning) to improve analytical depth, usability, and insight generation. Translate complex workforce and HR datasets into clear, actionable insights and recommendations for business stakeholders. Enable HR business partners and organizational teams to independently use workforce planning tools and methodologies through training and support. Collaborate with People Insights, HR COEs, and business leaders to align workforce planning with broader talent and people strategies. Partner with data science and AI teams to identify opportunities for automation and advanced analytics in workforce planning processes. Support continuous improvement of tools, models, and frameworks used in workforce analytics. Provide storytelling-driven analysis and visualization to support decision-making across global stakeholders. Requirements: Proven experience in strategic workforce planning, people analytics, or HR analytics within complex, global organizations. Strong expertise in scenario modeling, headcount planning, workforce cost analysis, and sensitivity analysis. Hands-on experience with workforce planning platforms such as Visier, including optimization and enhancement work. Ability to translate complex data into clear business insights through strong data visualization and storytelling skills. Experience enabling and training business users to adopt analytical tools and workforce planning practices. Familiarity with AI-enabled analytics tools and emerging workforce planning technologies. Strong stakeholder management and communication skills across global and cross-functional teams. Ability to work collaboratively across organizational boundaries with a proactive and curious mindset. Strong analytical thinking with a focus on process improvement and innovation. Bachelor’s degree in HR, Business, Data Analytics, or a related field (or equivalent experience). Fluent English (written and spoken) required. Benefits: Opportunity to shape enterprise-wide workforce strategy in a global, innovation-driven environment. Work at the intersection of people analytics, AI, and strategic workforce planning. Exposure to advanced analytics platforms and emerging workforce technologies. Strong focus on capability building, with opportunities to train and empower global stakeholders. Career growth potential into advanced analytics and data science-oriented roles. Collaborative, international environment with cross-functional exposure. Opportunity to contribute to meaningful transformation initiatives impacting large-scale organizations. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Strategic Workforce Planning Expert. Skills: Strategic Workforce Planning, People Analytics, Data Visualization, Storytelling, Stakeholder Management. Develop, validate, and iterate workforce planning scenarios across multiple organizational units to support both operational and strategic workforce decisions. Apply structured workforce planning methodologies including scenario modeling, sensitivity analysis, and workforce cost modeling. 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