Company: Scotiabank
Location: Toronto, ON
Expected salary:
Job date: Wed, 18 Dec 2024 23:46:47 GMT
Job description: Requisition ID: 212558Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.Please note this job posting will be active until January 3, 2025 to account for the holiday season. Applications will be reviewed in January 2025. Please expect a delay in the recruitment process.As the Manager, Origination Decision Systems & Analytics, you will play a pivotal role in accelerating benefits for credit strategies, customers, and the bank. Leveraging enterprise-level data management tools and advanced analytics, you’ll collaborate closely with Global Risk teams, business lines, Digital Banking, and IT. Your responsibilities include programming the credit strategies on Origination Decision Systems, applying advanced analytics techniques, exploring ideas to enhance retail lending portfolios within risk appetite thresholds, and identifying opportunities for innovative credit offers based on risk-reward frameworks and the GRM’s digital strategy. This role demands solid programming skills, rigorous logical thinking, communication, curiosity, and strong teamwork abilities.You will operate at the intersection of math/stats, computer science, and domain knowledge in Risk Management, Finance, or Marketing. Additionally, you will work towards various strategic initiatives, participate in the risk-reward strategy development, driving innovation and digital transformation across the Bank and Global Risk Management.Is this role right for you? In this role, you will:Provide system analysis, object-oriented design / programming, technical documentation, and deployment of origination strategies for retail portfolios in Caribbean regionsCollaborate with business partners in assessing the system status quo and provide recommendations on system improvementLeverage advanced and predictive data analytics techniques (including AI/ML tools) to analyze, research, and develop innovative credit solutions and policies, to support growth and strategy optimization opportunities in Caribbean and Central American marketsMonitor, assess and evaluate various life cycle strategies as well as overall portfolio performance. Through various dimensions of analysis, work closely with business partners across the region to develop actionable tactical recommendations to enhance program effectiveness and profitability of the Retail PortfolioWork with business line partners to ensure business strategies across life cycle are consistent with the Risk Appetite FrameworkMake recommendations to senior management on strategy enhancements, retail portfolio insights, and ad-hoc analysisPerform in-depth data analysis to detect trends of customer performance and document analytical methodologyDo you have the skills that will enable you to succeed? We’d love to work with you if you have:Post-secondary education in a relevant STEM discipline (Science, Technology, Engineering, and Mathematics)Knowledge or experience using Java, Java Script, Blaze, or JSONAbility to work with large volumes of structured and unstructured non-traditional dataProficiency in big data tools and programming languages such as SAS, SQL, R or PythonExperience with data visualization tools such as Tableau or Power BIStrong communication skills to translate technical knowledge into business valueLocation(s): Canada : Ontario : TorontoScotiabank is a leading bank in the Americas. Guided by our purpose: “for every future”, we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please . Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.
The job posting is for the role of Manager, Origination Decision Systems & Analytics at Scotiabank. The successful candidate will be responsible for programming credit strategies, applying advanced analytics, and identifying opportunities for innovative credit offers. The role requires strong programming skills, logical thinking, communication, and teamwork abilities. The candidate will work with business partners to assess system status, leverage data analytics techniques, monitor portfolio performance, and make strategic recommendations. The ideal candidate should have post-secondary education in a STEM discipline, knowledge of Java, Java Script, Blaze, and JSON, proficiency in big data tools, and experience with data visualization tools. The job location is in Toronto, Canada. Scotiabank is committed to creating an inclusive environment for all individuals and provides accommodation during the recruitment process if needed.
Manager, Origination Decision Systems & Analytics (12-month Contract) – Scotiabank – Toronto, ON
Company: Scotiabank
Location: Toronto, ON
Expected salary:
Job date: Thu, 19 Dec 2024 07:21:09 GMT
Job description: Requisition ID: 212558Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.Please note this job posting will be active until January 3, 2025 to account for the holiday season. Applications will be reviewed in January 2025. Please expect a delay in the recruitment process.As the Manager, Origination Decision Systems & Analytics, you will play a pivotal role in accelerating benefits for credit strategies, customers, and the bank. Leveraging enterprise-level data management tools and advanced analytics, you’ll collaborate closely with Global Risk teams, business lines, Digital Banking, and IT. Your responsibilities include programming the credit strategies on Origination Decision Systems, applying advanced analytics techniques, exploring ideas to enhance retail lending portfolios within risk appetite thresholds, and identifying opportunities for innovative credit offers based on risk-reward frameworks and the GRM’s digital strategy. This role demands solid programming skills, rigorous logical thinking, communication, curiosity, and strong teamwork abilities.You will operate at the intersection of math/stats, computer science, and domain knowledge in Risk Management, Finance, or Marketing. Additionally, you will work towards various strategic initiatives, participate in the risk-reward strategy development, driving innovation and digital transformation across the Bank and Global Risk Management.Is this role right for you? In this role, you will:Provide system analysis, object-oriented design / programming, technical documentation, and deployment of origination strategies for retail portfolios in Caribbean regionsCollaborate with business partners in assessing the system status quo and provide recommendations on system improvementLeverage advanced and predictive data analytics techniques (including AI/ML tools) to analyze, research, and develop innovative credit solutions and policies, to support growth and strategy optimization opportunities in Caribbean and Central American marketsMonitor, assess and evaluate various life cycle strategies as well as overall portfolio performance. Through various dimensions of analysis, work closely with business partners across the region to develop actionable tactical recommendations to enhance program effectiveness and profitability of the Retail PortfolioWork with business line partners to ensure business strategies across life cycle are consistent with the Risk Appetite FrameworkMake recommendations to senior management on strategy enhancements, retail portfolio insights, and ad-hoc analysisPerform in-depth data analysis to detect trends of customer performance and document analytical methodologyDo you have the skills that will enable you to succeed? We’d love to work with you if you have:Post-secondary education in a relevant STEM discipline (Science, Technology, Engineering, and Mathematics)Knowledge or experience using Java, Java Script, Blaze, or JSONAbility to work with large volumes of structured and unstructured non-traditional dataProficiency in big data tools and programming languages such as SAS, SQL, R or PythonExperience with data visualization tools such as Tableau or Power BIStrong communication skills to translate technical knowledge into business valueLocation(s): Canada : Ontario : TorontoScotiabank is a leading bank in the Americas. Guided by our purpose: “for every future”, we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please . Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.
This job posting is for a Manager, Origination Decision Systems & Analytics at Scotiabank. The role involves using advanced analytics techniques to enhance credit strategies and portfolio performance. The candidate should have programming skills, knowledge of data management tools, and be able to work collaboratively with various teams. The job posting will be active until January 3, 2025, and applications will be reviewed in January. The role requires a STEM education, proficiency in programming languages such as Java, and experience with data visualization tools. The candidate should have strong communication skills and be able to translate technical knowledge into business value. Scotiabank values diversity and inclusion and is committed to creating an accessible environment for all applicants.
Manager, Data Analytics and Automation – KPMG – Vancouver, BC
Company: KPMG
Location: Vancouver, BC
Job description: performance and to manage risks. Our Team As a Manager in Data, Analytics and Automation, you will be a part of our Technology…, Azure Cloud Solution Architecture, CDMP Must be able to travel locally and internationally based on client and project…
The content discusses the role of a Manager in Data, Analytics and Automation in a technology company. The job involves working with performance management and risk management, as well as utilizing various technologies such as Azure Cloud Solution Architecture and CDMP. The Manager is expected to travel locally and internationally for client and project related activities.
Job Description
We are currently seeking a dynamic and organized individual to fill our open Receptionist position. The ideal candidate will have excellent communication skills, a friendly and professional demeanor, and be able to handle a busy, fast-paced work environment.
Responsibilities:
– Greet and assist visitors in a friendly and professional manner
– Answer incoming calls and transfer to appropriate department
– Sort and distribute mail and packages
– Maintain a clean and organized reception area
– Perform administrative duties as needed, including data entry and filing
Requirements:
– High school diploma or equivalent
– 1+ years of experience in a receptionist or customer service role
– Excellent communication and interpersonal skills
– Proficient in Microsoft Office suite
– Ability to multitask and prioritize tasks in a fast-paced environment
If you are a motivated and friendly individual with a passion for customer service, we would love to hear from you! Apply now to join our team.
Expected salary: $98000 – 127000 per year
Job date: Thu, 19 Dec 2024 03:16:57 GMT
Celestica – Student Intern, AI & Analytics – Toronto, ON
Company: Celestica
Location: Toronto, ON
Expected salary:
Job date: Thu, 19 Dec 2024 00:57:19 GMT
Job description: Req ID: 123900
Remote Position: Hybrid
Region: Americas
Country: Canada
State/Province: Ontario
City: Toronto16-Month InternshipCelestica (NYSE, TSX: CLS) is a US$7.9 billion global leader in design, manufacturing, hardware platform and supply chain solutions. We bring global expertise and insight at every stage of product development – from the drawing board to full-scale production and after-market services. Through our unrivalled customer-centric approach, we partner with leading companies in aerospace and defense, communications, enterprise, healthtech, industrial, capital equipment, and smart energy to deliver solutions for their most complex challenges.Celestica is a high-integrity work environment and when you join Celestica you are a part of a leading global company that enables the world’s best brands, and contributes to our innovative and collaborative solutions that help our customers unlock the potential of the future.Our global network spans 15 countries with 26,000 employees across the Americas, Europe and Asia. At our Toronto headquarters, we are focused on attracting top talent into our organization, including interns from universities and colleges.Celestica’s internship program provides students with valuable development through real-life work experience, exciting projects and networking with industry professionals.Benefits for Students Include:
- Experience working for one of the largest Canadian global technology companies
- Possibility of a student casual contract position after completion of internship
- Possibility of a full-time position after completion of degree
- Access to Celestica’s development programs and projects
- Celestica’s Time Off to Volunteer program – two paid days off to volunteer per year
- Fun intern activities including celebration events and networking
- Internal recognition programs and rewards for stellar performance
What’s in it for you?
- Opportunity: Job experience at a large Canadian-based global company
- Innovation: We look to our employees to implement new ideas and improve the way we do things
- Collaboration: Students work as part of global teams, enabled by collaborative technology
- Sustainability: We uphold strong ethics, reduce our impact on the environment and empower employees to give back to the community with two paid days off per year to volunteer
- Development opportunities: including soft skills courses, innovation projects and mentorship
- Networking: Strategically build your professional network to advance your career and deepen relationships across your peers and colleagues
- Fun: Our interns have the opportunity to participate in fun activities including intern social events, Celestica’s charitable initiatives and our Spirit Week activities
About this opportunity:This role will involve the student in the design/development/support of new and existing applications (both on premise and cloud platforms – such as Google Cloud Platform, Microsoft Azure).Preferred Skills:
- Some degree of Data development experience to include any of the following: SQL, Python, Excel, PowerBI would be considered an asset
- Basic knowledge of Software Development Lifecycle concepts
- Strong analytical skills
- Familiarity with Generative AI work a plus, experience with open source tools, etc
- Desire to make a difference and solve problems
Activities:
- Developing and\or enhancing dashboards and analytics
- Enabling AI applications, helping to deliver training/outcomes
- Assisting in the gathering of requirements for new use cases and analytics – includes collecting and analyzing existing documentation, reviewing with Subject Matter Experts & writing specification documents
- Perform routine management/support/reporting tasks as they relate to applications (both out of the box and custom development) under our control
- Working with other team(s) in system troubleshooting of the application problems
- Testing of new releases of the application for production environment.
Physical Demands:
- Duties of this position are performed in a normal office environment.
- Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.
Additional Details:Area: Information TechnologyStart Date: May 2025Location: 5140 Yonge Street, Toronto, ONExperience: No formal experience is expected but would be considered an asset.Education: Currently enrolled in a Computer Science, Software Engineering or equivalent University program completing 3rd of a 4-year program or 4th of 5-year program of study and eligible for an internship program.To apply, please visit www.celestica.com. Please provide a copy of your transcript with your application.Notes:This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change.Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.Celestica would like to thank all applicants, however, only qualified applicants will be contacted.Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.
Analytics Engineer – Colgate-Palmolive – Toronto, ON
Company: Colgate-Palmolive
Location: Toronto, ON
Expected salary:
Job date: Tue, 17 Dec 2024 23:05:59 GMT
Job description: No Relocation Assistance Offered
Job Number #164419 – Toronto, Ontario, CanadaWho We AreColgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let’s build a brighter, healthier future for all.Do you want to make a difference in the lives of people and their pets? What about having the opportunity to connect with others across the world, full of stimulating discussions, and making impactful contributions? If this is how you see your career, Hill’s is the place to be!Hill’s Pet Nutrition is a multi billion dollar, global division of Colgate-Palmolive Company and the maker of Prescription Diet, Science Diet, and Healthy Advantage brand pet food. Our mission is to help enrich and lengthen the special relationships between people and their pets by providing the best leading-edge pet nutrition technology, products, and expertise to pet owners, veterinary professionals and other key pet professionals worldwide. Our company is a globally recognized Best Place to Work.We’re looking for an experienced data and analytics professional to join our Canada Commercial Analytics team. The ideal candidate will develop and automate data transformation pipelines integrating data sources from various parts of the business to drive customer understanding and operational efficiency. As a member of the analytics team, your role will influence the tech stack and frameworks we develop across the organization. As an Analytics Engineer, you will collaborate with departments across the company, including Marketing, Sales, Digital, Supply Chain, and eCommerce. In addition to building data transformation pipelines, your responsibilities will include supporting the development, maintenance, and operational stability of data engineering and analytics infrastructure.What You Will Do:
- Use SQL and Python to write production-quality code to meet the data transformation needs of analysts, data scientists, and other business partners
- Support the use of analytics platforms and data science workflows, while identifying ways to strengthen and scale our data foundation
- Help design and develop transparent ELT pipelines that deliver timely and accurate data to end users
- Translate business requirements and logic into well-documented data models to drive clarity and efficiency for end users
- Collaborate cross functionally to understand and identify data needs and opportunities to use data to drive business solutions
- Communicate technical concepts to a non-technical audience in a compelling manner
- Evaluate external partners across different dimensions for analytics initiatives
- Partner with IT to align on data architecture, analytics tools, and other technologies
Required Qualifications:
- Bachelor’s Degree in a quantitative field
- At least 3 years of professional experience as a data analyst, data scientist, analytics engineer, or data engineer
- Demonstrated proficiency in the use of SQL and/or Python to wrangle, clean, and integrate data from a variety of sources
- Demonstrated understanding of modern data warehouse design principles and data engineering best practices
- Practical experience using data visualization and/or BI tools (e.g., Domo, Tableau) to analyze data
- A commercially astute individual, with the ability to build strong cross-functional relationships. Eager at the prospect of developing and implementing new tools and processes that add organizational value & improve decision making capabilities.
- A bright, ambitious person, with strategic capabilities, able to lead change, influence and collaborate both internally and externally, and with a clear commitment to delivering business results in a timely manner.
Preferred Qualifications:
- Master’s or PhD in a quantitative field
- Demonstrated understanding of marketing analytics concepts, including marketing mix modeling, churn risk prediction, and customer lifetime value
- Demonstrated experience with Git/GitHub, dbt Core/Cloud, and Airflow
- Familiarity with SAP systems (ECC, C4C, S4 HANA)
Our Commitment to Diversity, Equity & Inclusion
Achieving our purpose starts with our people — ensuring our workforce represents the people and communities we serve —and creating an environment where our people feel they belong; where we can be our authentic selves, feel treated with respect and have the support of leadership to impact the business in a meaningful way.Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.Reasonable accommodation during the application process is available for persons with disabilities. Please complete this should you require accommodation.#LI-Hybrid
Colgate-Palmolive Company is seeking an experienced data and analytics professional to join their Canada Commercial Analytics team. The ideal candidate will use SQL and Python to develop and automate data transformation pipelines to drive customer understanding and operational efficiency. The role will involve collaborating with various departments across the company and supporting the development of data engineering and analytics infrastructure. The company is committed to diversity, equity, and inclusion, and is an Equal Opportunity Employer. Reasonable accommodation is available for persons with disabilities.
Analytics Engineer – Colgate-Palmolive – Toronto, ON
Company: Colgate-Palmolive
Location: Toronto, ON
Expected salary:
Job date: Wed, 18 Dec 2024 00:59:14 GMT
Job description: No Relocation Assistance Offered
Job Number #164419 – Toronto, Ontario, CanadaWho We AreColgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, let’s build a brighter, healthier future for all.Do you want to make a difference in the lives of people and their pets? What about having the opportunity to connect with others across the world, full of stimulating discussions, and making impactful contributions? If this is how you see your career, Hill’s is the place to be!Hill’s Pet Nutrition is a multi billion dollar, global division of Colgate-Palmolive Company and the maker of Prescription Diet, Science Diet, and Healthy Advantage brand pet food. Our mission is to help enrich and lengthen the special relationships between people and their pets by providing the best leading-edge pet nutrition technology, products, and expertise to pet owners, veterinary professionals and other key pet professionals worldwide. Our company is a globally recognized Best Place to Work.We’re looking for an experienced data and analytics professional to join our Canada Commercial Analytics team. The ideal candidate will develop and automate data transformation pipelines integrating data sources from various parts of the business to drive customer understanding and operational efficiency. As a member of the analytics team, your role will influence the tech stack and frameworks we develop across the organization. As an Analytics Engineer, you will collaborate with departments across the company, including Marketing, Sales, Digital, Supply Chain, and eCommerce. In addition to building data transformation pipelines, your responsibilities will include supporting the development, maintenance, and operational stability of data engineering and analytics infrastructure.What You Will Do:
- Use SQL and Python to write production-quality code to meet the data transformation needs of analysts, data scientists, and other business partners
- Support the use of analytics platforms and data science workflows, while identifying ways to strengthen and scale our data foundation
- Help design and develop transparent ELT pipelines that deliver timely and accurate data to end users
- Translate business requirements and logic into well-documented data models to drive clarity and efficiency for end users
- Collaborate cross functionally to understand and identify data needs and opportunities to use data to drive business solutions
- Communicate technical concepts to a non-technical audience in a compelling manner
- Evaluate external partners across different dimensions for analytics initiatives
- Partner with IT to align on data architecture, analytics tools, and other technologies
Required Qualifications:
- Bachelor’s Degree in a quantitative field
- At least 3 years of professional experience as a data analyst, data scientist, analytics engineer, or data engineer
- Demonstrated proficiency in the use of SQL and/or Python to wrangle, clean, and integrate data from a variety of sources
- Demonstrated understanding of modern data warehouse design principles and data engineering best practices
- Practical experience using data visualization and/or BI tools (e.g., Domo, Tableau) to analyze data
- A commercially astute individual, with the ability to build strong cross-functional relationships. Eager at the prospect of developing and implementing new tools and processes that add organizational value & improve decision making capabilities.
- A bright, ambitious person, with strategic capabilities, able to lead change, influence and collaborate both internally and externally, and with a clear commitment to delivering business results in a timely manner.
Preferred Qualifications:
- Master’s or PhD in a quantitative field
- Demonstrated understanding of marketing analytics concepts, including marketing mix modeling, churn risk prediction, and customer lifetime value
- Demonstrated experience with Git/GitHub, dbt Core/Cloud, and Airflow
- Familiarity with SAP systems (ECC, C4C, S4 HANA)
Our Commitment to Diversity, Equity & Inclusion
Achieving our purpose starts with our people – ensuring our workforce represents the people and communities we serve -and creating an environment where our people feel they belong; where we can be our authentic selves, feel treated with respect and have the support of leadership to impact the business in a meaningful way.Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.Reasonable accommodation during the application process is available for persons with disabilities. Please complete this should you require accommodation.#LI-Hybrid
Colgate-Palmolive Company is seeking an experienced data and analytics professional to join their Canada Commercial Analytics team. This individual will be responsible for developing and automating data transformation pipelines to drive customer understanding and operational efficiency. Key responsibilities include using SQL and Python to write production-quality code, supporting analytics platforms, designing data models, collaborating with various departments, and evaluating external partners for analytics initiatives. The ideal candidate will have a Bachelor’s Degree in a quantitative field, at least 3 years of professional experience in data analytics, proficiency in SQL and Python, and demonstrated understanding of modern data warehouse design principles. Preferred qualifications include a Master’s or PhD in a quantitative field and experience with marketing analytics concepts. Colgate is committed to diversity, equity, and inclusion, and is an equal opportunity employer. No relocation assistance is offered.
Senior Manager, Brand Analytics – HelloFresh – Toronto, ON
Company: HelloFresh
Location: Toronto, ON
Expected salary:
Job date: Sat, 14 Dec 2024 04:24:46 GMT
Job description: HelloFresh is in search of a Senior Manager to join our Brand Marketing team. The ideal candidate will be passionate… Skilled in managing complex project plans Impeccably organized with careful attention to detail Familiar with the fast-paced…
Consultant, VBC Analytics – Orlando Health – Orlando, FL
Company: Orlando Health
Location: Orlando, FL
Expected salary:
Job date: Fri, 13 Dec 2024 23:55:53 GMT
Job description: As a multifaceted role, the job involves overseeing a wide range of functions within a business, including facility management, materials management, marketing, risk management, legal matters, corporate compliance, quality control, and more. The individual in this position is responsible for maintaining and optimizing these various aspects of the organization to ensure smooth operations, compliance with regulations, and overall success. They must be detail-oriented, analytical, and have strong communication and leadership skills to effectively manage a diverse set of responsibilities and stakeholders. The ability to problem-solve, prioritize tasks, and work collaboratively with cross-functional teams is essential for success in this role.
Mackenzie Financial Corporation – Summer Intern, Sales Experience & Analytics – Toronto, ON
Company: Mackenzie Financial Corporation
Location: Toronto, ON
Expected salary:
Job date: Mon, 16 Dec 2024 06:51:35 GMT
Job description: in an undergraduate program that will be returning to school after the internship to be eligible to apply. The Sales Experience… activities, and creating strong sales culture. Reporting to the Manager, CRM and Sales Technology, the successful candidate…
An undergraduate program is seeking students who have completed internships and will be returning to school to apply for a sales experience position. The role involves participating in sales activities and fostering a positive sales culture. The position reports to the Manager of CRM and Sales Technology.
Mackenzie Investments – Summer Intern, Sales Experience & Analytics – Toronto, ON
Company: Mackenzie Investments
Location: Toronto, ON
Expected salary:
Job date: Mon, 16 Dec 2024 06:51:35 GMT
Job description: in an undergraduate program that will be returning to school after the internship to be eligible to apply. The Sales Experience… activities, and creating strong sales culture. Reporting to the Manager, CRM and Sales Technology, the successful candidate…
This content discusses an undergraduate program that includes an internship component, with the requirement of returning to school before being eligible to apply for the position. The internship focuses on gaining sales experience, participating in sales activities, and fostering a strong sales culture. The candidate will report to the Manager of CRM and Sales Technology.