Data Analyst

Story Behind the Need:

• Business group: Canadian Banking Analytics – focused on Credit Card engagement team
• Project: Credit Card engagement team – working on large initiative to rebranding and re-engaging customers.

Candidate Value Proposition:

• The successful candidate will have the opportunity to gain exposure to a variety of business partners, helping to build data structures and conducting project analysis end-to-end using Big Query and Python for a top 5 Canadian Bank.

Typical Day in Role:

• Design and integrate customer segmentation, channel analytics, campaign optimizations and recommendation/decision engines to help elevate our customer’s experiences across various channels and move to a personalized 1:1 customer journey.
• Synthesize data across multiple platforms to identify trends and deliver key insights and business recommendations around a customer-first approach to driving engagement and results across our marketing channels and campaigns, to then bringing these recommendations to market through execution and measurement.
• Explore and incorporate new data sources to enhance customer experience
• Work closely with partners to review findings and insights regarding campaign performance
• Ability to validate and measure effectiveness of customer/channel/campaign strategies to continually make ongoing changes and improvements.
• Effectively communicate results of highly technical projects to stakeholders and deliver high quality, high impact analytical solutions to business problem

Candidate Requirements/Must Have Skills:

• 8+ years of experience as a Data Analyst, working with datasets, both structured and unstructured data
• 8+ years’ advanced SQL skills (coding capability)
• 3+ years’ experience with Python
• 1+ year reporting experience with PowerBI

Nice-To-Have Skills:

• Google Cloud, Hadoop, Big Data, Data Lake experience
• Experience in Adobe Analytics be an asset
• Experience in marketing analytics is highly preferred
• Previous experience with Banks/ FI is nice to have

Soft Skills Required:

• Strong communication skills and ability to present information clearly are essential
• Self driven and able to manage time and expectations with stakeholders

Education:

• Bachelor’s degree in related field

Best VS. Average Candidate: The ideal candidate demonstrates:

• A strong analytical mindset and intellectual curiosity.
• Strong Data analytics experience and proven ability to code in SQL and Python.
• Recent experience in marketing analytics is highly preferred and Adobe Analytics will be an asset
• Ability to work independently and solve problems with minimal guidance.
• Skill in distilling complex data into clear, concise insights.
• Proactive approach to identifying opportunities and driving solutions.

Candidate Review & Selection – Interview Process:

• 1-2 rounds – In-Person Interview – with HM – 1 hour – standard going through experience, potential scenario questions

Please note:

• AI is not used to screen, assess, or select candidates.
• This role reflects an existing vacancy at the time of posting.