Senior Data Analyst (10+ years) to build data structures and conduct end-to-end project analysis using Big Query, SQL, Python, and PowerBI- 41545

S I Systems; Toronto; Hybrid; CAD 110,000 - 140,000; Full time

Job summary

S I Systems in Toronto seeks a Senior Data Analyst (10+ years) to design data structures and perform end-to-end project analysis using BigQuery, SQL, Python and PowerBI. Hybrid - Toronto, 2-3 days on-site, 37.5 hours weekly.

You will work with the Canadian Banking Analytics group on a Credit Card engagement project, aligning data-driven insights with business goals and measurable outcomes.

Qualifications

• 8+ years of experience as a Data Analyst
• 8+ years’ advanced SQL skills
• 3+ years’ experience with Python
• 1+ year reporting experience with PowerBI

Responsibilities

• Design and implement customer segmentation, channel analytics, and campaign optimization
• Synthesize data across platforms to identify trends and deliver insights for marketing actions
• Explore new data sources to enhance customer experience
• Collaborate with partners to review findings on campaign performance
• Validate and measure effectiveness of strategies and drive improvements
• Communicate results of highly technical projects to stakeholders clearly

Skills

Advanced SQL

Python

PowerBI

Data analysis

Education

Bachelor's degree

Tools

Google Cloud

Hadoop

Adobe Analytics

Data Lake

Job description

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 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

Disclaimer:

AI may be used in evaluating candidates.

This posting is for an existing vacancy.