Data and Analytics Student

  • Company:
    Canadian-tire
  • Location:
  • Salary:
    negotiable / month
  • Job type:
    Full-Time
  • Posted:
    3 days ago
  • Category:
    Scientific

What you’ll do

 
As a Data & Analytics Student you’ll gain valuable insight into how predictive analytics, modelling and insights are used to us make more informed business decisions across our entire enterprise. Whether you’re assisting with data preparation, reconciliation and analysis, developing reports, or making data supported recommendations that drive business change you’ll play a part in helping us deliver better, faster, and in more meaningful and impactful ways to our customers and employees.

Roles we are currently recruiting for:

Data Science Analyst Student

Reporting to the Associate Data Science Manager, you will play a key role in the continued build-out of a machine learning-powered customer experience at CTC. You will contribute to a variety of projects across a number of customer focus areas, including exploratory research into the behaviour of customers across CTC banners, channels and screens, running experiments to exploit untapped areas of growth, or developing cutting edge machine learning models to optimize millions of daily customer interactions and marketing messages. The ideal candidate thrives on challenge, is unfazed by complexity and persists in the face of ambiguity. She/he will be highly curious, results-oriented, self-driven and possess an acute sense of business opportunity. 

What you’ll do:

  • Develop and continuously optimize robust and scalable analytics solutions and decision engines across all stages of the customer journey (e.g. 1:1 offer recommendation, acquisition, churn, LTV, etc.).
  • Work closely with internal clients and business domain experts to understand their business processes, challenges and objectives; internalize these requirements in your solutions.
  • Proactively identify marketing audiences and customer journey pain points and opportunities using CTC’s massive enterprise data stores.
  • Develop data pipelines with a goal to standardize, generalize and automate with proper documentation, and support normal operations.
  • Act as an advocate of the organization’s customer data by identifying and acting on opportunities to improve data quality and integrity.
  • Partner with cross-functional teams to integrate solutions into production systems and scale capabilities across the enterprise.
  • Retail Insights, Student

    This team is focused on using data driven approaches to increase space productivity across the retail network. We are a team that is constantly evolving to better suit our associate dealers’ needs. 

    What you’ll do:

  • Work with Senior Analysts to conduct comprehensive store level analysis to generate actionable insights and recommendations.
  • Create presentations and supporting documents to summarize analysis for key business stakeholders and decision makers.
  • Enhance team understanding of retail execution by analyzing and summarizing store level data.
  • Assist in the development of new reports or tools that capitalize on better understanding retail execution across the retail network. 
  • Who you are:

  • Exceptional communication skills with the confidence and passion to share knowledge
  • Creative thinker who is observant to seek new opportunities and perceptive to abstract ideas
  • Goal driven individual to seek out continuous improvement opportunities
  • The ability to take a collaborate approach to build strong relationships and have positive team experiences
  • Flexible and dynamic individual who is able to adjust and prioritize accordingly to adapt to business demands and requirements
  • Solid foundation of relevant technical skills
  • Demonstrates behaviours of transparency, accountability, agility and learning from others that will support your success
  • What you bring

  • Undergraduate degree in CS, Math, Statistics, Information Technology or Engineering;
  • Experience querying large databases using Python, SQL, KNIME and/or Spark;
  • Experience building machine learning and mathematical models
  • Competency in data analysis and interpretation of results
  • Detail oriented with a problem-solving mind set and impeccable attention to detail
  • Ability to prioritize tasks with some guidance
  • Working knowledge of standard desktop tools (Excel, PowerPoint, Outlook)
  • Experience with other analytical platforms and tools (e.g. Hadoop, Azure, GCP, BigQuery, Power BI, Data Studio, Airflow, Snowflake, etc.) considered an asset
  • Some experience (e.g. other co-op placements) in a retail or loyalty analytics role is desirable
  • About Canadian Tire Corporation

    Canadian Tire and its family of companies are boldly shaping retail in Canada and we continue to deliver a positive experience for our customers. As one of the most trusted brands in Canada, our employees take pride in the work we do across the country. It’s more than the iconic triangle that keeps our employees around. From benefits and perks, to learning and development opportunities, to our commitment to Jumpstart – these are some of the many reasons why Canadian Tire Corporation is one of Canada’s Top Employers.

    To learn more about this team and the Canadian Tire family of companies follow us on LinkedIn.

    Canadian Tire is an equal opportunity employer. We are committed to a diverse and inclusive workplace for all. We recognize that our future success depends on the perspectives and contributions of all our employees — their diverse backgrounds, abilities and experiences make our business stronger. If you are contacted for a job opportunity, please advise us of any accommodations needed to ensure fair and equitable access throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

    Canadian Tire CorporationOntario-TorontoPermanentFull-time

    Job Posting

    :Jan 5, 2021, 3:42:11 PM