Offers “Ernst & Young”

Expires soon Ernst & Young

EY Advisory, Data and Analytics Staff (Undergraduate/Master’s) | Full-Time – 2020 National

  • CANADA
  • Studies / Statistics / Data

Job description



Please note: Applications must be submitted in ONE PDF file (Cover Letter, Resume, Unofficial Transcripts)

EY’s people in more than 150 countries are committed to operating with integrity, quality, and professionalism in the provision of audit, tax, transaction, and advisory services. We strive to help all of our people achieve their professional and personal goals through an inclusive environment that values everyone's contributions, appreciates diversity of thought, fosters growth, and provides continuous opportunities for development. Recognized as one of Canada's top employers, EY continually strives to be a great place to work.

Being part of a dynamic, growing organization offers an exciting career path full of opportunity. EY Advisory Services is a $4 billion global practice with 18,000 professionals. With an overall Advisory market of $150 billion, there's tremendous potential for growth - and we're prepared to tap into that potential.

Our Advisory team takes a strategic approach to helping clients improve and sustain their business performance. In today's complex business environment that means understanding the relationship between risk and performance improvement and applying our knowledge to help clients achieve their business objectives.

At EY we are committed to building a better working world and provide ongoing professional development through diverse experiences, world-class learning, and individually tailored coaching. As a part of that, we develop our people and equip them with the skills to be successful, versatile business leaders. Within the Advisory service line we align our new consultants to a sub-service line (e.g. Strategy & Operations, IT Advisory) based on background, preference, and need. While consulting professionals belong to a sub-service line, our teams work closely together to solve client problems. As a new consultant, it is common to work on engagements that span our sub-service lines or industry teams, allowing for both depth and breadth of experience.

We are currently seeking Staff and Senior Consultants to join our Data and Analytics Practice in Toronto, Vancouver, Calgary, Ottawa and Halifax in 2020. (Please select your location preference in the pre-screening questions).

Data and Analytics is the result of effectively and efficiently leveraging a set of technology enabled management and analytic processes and techniques including Data Science that help businesses to operationalize strategic goals. Core processes include risk, marketing, customer, finance and performance analytics, information strategy and management, financial planning, operational planning, consolidation and reporting, business modeling, and monitoring of key performance indicators linked to strategy. Our driver-based decision-making process, which links strategy, targets and operations, reduces administrative costs, improves strategic decision-making and accelerates decision-making cycle time, is a business led market differentiator which helps clients see their business differently. Advisory Services offers variety, challenge, responsibility and the opportunity to realize your leadership potential.

Responsibilities
Participate in project teams through all phases of the information, data, and data science life cycle. Lend specific subject matter Data Science and Information Management knowledge to the design and integration phase of each project, helping to give specificity to the appropriate information architecture, data model, predictive analytics model, and system design and interfacing requirements, and IM technology platforms.

Advise clients on a variety of Information Management services and Data products that help identify, assess, manage, optimize, and measure the organization's capabilities. Team with client information, data, and technology professionals, and/or third-party strategic alliances to provide implementation of solutions. Participate in engagement management, engagement execution and reporting, and client relationship building and management. This will include the generation of new business opportunities by developing ideas and solutions to present to internal and external clients. The position will be responsible for delivering against business development targets and managing a portfolio of potential and existing client engagements.

Qualifications
- Pursing an undergraduate and/or master’s degree in Computer Science, Computer Science Engineering, Data Analytics, Machine Learning/Data Mining, or Applied Statistics is required
- Programming Languages: SQL, Python, R, Java is required
- Coursework in Machine Learning, Predictive Analytics, Data Mining, Database is required
- Advanced analytical and problem-solving skills
- Excellent written and verbal communication, presentation and technical writing skills
- A high level of motivation, strong work ethic and self-starting attitude
- Available to travel within and outside of Canada as well as work in excess of standard hours when necessary. 

How to Apply
To apply, please attach your most recent cover letter, résumé, and unofficial transcripts in one PDF file.

Please note that only successful applicants will be contacted for an interview.

To apply please visit www.ey.com/ca/apply
1. Choose the appropriate job posting
2. Log In or Register as a New User
3. Complete all required fields on each page
4. Attach your most recent resume, cover letter and transcript in one PDF file

Available locations will be listed in the pre-screening questions when submitting your application. Please choose your first and second location preferences.

This posting will officially close on Thursday September 12th 2019 at 11:59 pm PST.

To learn more about EY and our Advisory Services practice, visit us today at http://www.ey.com/CA/en/Services/Advisory

EY is committed to inclusiveness, equity and accessibility. We encourage all qualified candidates to apply.

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