Senior Analyst, CTR Strategic Initiatives

2 weeks ago


Toronto, Canada Canadian Tire Corporation Full time

What you’ll do

The CTR Decision Support Analytics team is looking for a Senior Analyst, CTR Strategic Initiatives, who will play a key role in providing analytical support for CTR General Merchandising strategic initiatives. In this role, you will apply your exceptional analytical skills and advanced problem-solving techniques to provide insights and recommendations to help Canadian Tire’s retail businesses move forward with strategic initiatives. Working with cross-functional teams across Finance, Merchandising, and Marketing, you will leverage internal and external data to help teams uncover insights, trends, and to evaluate strategic investment choices and expected impacts. You will be staying current on the latest developments in analytics software/approaches within the organization helping the Decision Support team with building and maintaining more robust processes, models, and dashboards.

Enable high-impact strategic projects by providing end-to-end support to clients, including defining analysis scope, gathering relevant data, executing analyses, and presenting concise and relevant insights.

Critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details, and abstract up from low-level information to a general understanding.

Act as an impartial consultant to business users by leading discussions with business clients and other team members to confidently and accurately present relevant information and to determine/clarify business rules or other considerations that will impact future-state analytical solutions.

Develop options and present recommendations to various stakeholders within the organization to drive and support change in a continuously evolving retail environment.

Take complex data points and simplify with effective and representative visualizations (charts, tables, graphs, slides) to provide analytical insights and recommendations, to influence business clients.

Lead regular deep dives of sales performance by customer, product, brands, store network, and other relevant factors to establish key insights.

Design, plan, and build data pipelines (data wrangling / preparation / ETL), data modeling and analytical/statistical workflows, data visualizations, and reporting/dashboarding tools to support and conduct comprehensive analyses.

Identify inefficiencies in current processes and strive for continuous improvement through changes to modelling approaches and/or automation.

What you bring

Post-secondary degree in Business, Economics, Statistics, Mathematics, Engineering or related field.

4+ years of experience in an analytical role.

Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to SQL, Power BI, Python, Knime and Excel.

Experience with Snowflake, Azure Synapse Analytics an asset.

Intermediate knowledge of Python and its standard libraries such as Pandas and Numpy; motivated to advance your Python skillset.

Intermediate knowledge of SQL and best practices.

Experience interacting with multiple on-Premises and cloud-based Data Lakes and Warehouses and using analytical platforms / tools to perform data wrangling and Big Data analytics an asset.

Experience working with large and complex datasets efficiently and a passion for digging into quantitative and qualitative data.

Excellent attention to detail, a structured approach to analysis and the ability to develop logical arguments.

See the bigger picture of the problem you are trying to solve and will proactively seek new data points from varied sources (external and internal) to complement your analysis.

Recognized for your curiosity and growth mindset.

Superb verbal & written communication skills with application in influencing technical and non-technical clients with data.

Understanding and interest in advanced analytics concepts including machine learning is an asset.

Hybrid

We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.

#LI-RM1



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