Location Address: Hybrid - Downtown Toronto – 2-3 days/week – team will coordinate to come in at the same time, no set days; possibility that it increases to 4/week during the contract

Subject to change: 3–4 days onsite may be required based on business needs

Anchor days: Flexible

Contract Duration: 10/01/2026 to 06/30/2027

Possibility of extension: Yes, based on performance and business needs.

Possibility for FT conversion: No

Number of Positions: 1

Schedule Hours: 9am-5pm Monday-Friday – specific times flexible, could be 8:30-4; standard 37.5 hrs/week

Reason : Additional Support

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:

1. 8+ years of experience as a Data Analyst, working with datasets, both structured and unstructured data
2. 8+ years’ advanced SQL skills (coding capability)
3. 3+ years’ experience with Python
4. 1+ year reporting experience with PowerBI

Nice-To-Have Skills:

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

Best VS. Average Candidate:

The ideal candidate demonstrates

A solid 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

- 44 King Street W, Toronto

📌 Data Analyst (Toronto)
🏢 Delpath
📍 Toronto