Senior Data Analyst (10+ years) to build data structures and conduct end-to-end project analysis using Big Query, SQL, Python, and PowerBI- 41545 Our banking client is seeking a Senior Data Analyst (10+ years) to build data structures and conduct end-to-end project analysis using Big Query, SQL, Python, and PowerBI- 41545 Location Address: Hybrid - 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 Contract Duration: 10/01/2026 to 06/30/2027 (Possibility of Extension) Schedule Hours: 9am-5pm Monday-Friday – specific times flexible, could be 8:30-4; standard 37.5 hrs/week 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.

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 Education Bachelor’s degree in related field Best VS.

Average Candidate

- 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 explicit, 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 Disclaimer: AI may be used in evaluating candidates. This posting is for an existing vacancy.

📌 Senior Data Analyst (10+ years) to build data structures and conduct end-to-end project analysis using Big Query, SQL, Python, and PowerBI- 41545 (Toronto)
🏢 S.i. Systems
📍 Toronto