Senior Data Analyst (10+ years) to build personalized customer journeys using SQL, Python, and Big Query- 41535 Our banking client is seeking a Senior Data Analyst (10+ years) to build personalized customer journeys using SQL, Python, and Big Query- 41535 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 09/30/2027 (Chance of Extension) Schedule Hours: 9am-5pm Monday-Friday – specific times flexible, could be 8:30-4; Canadian Banking Analytics – focused on Personalization Squad Project Personalization Squad – to create personalized journeys to better tailor marketing communications to banking customers. 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 1) 10+ 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 ~2) Experience in Adobe Analytics be an asset ~4) Previous experience with Banks/ FI is nice to have Bachelor’s degree in related field 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 Skill in distilling complex data into clear, concise insights.

AI may be used in evaluating candidates. Our banking client is seeking a Senior Data Analyst (10+ years) to build personalized customer journeys using SQL, Python, and Big Query- 41535 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 09/30/2027 (Chance of Extension) Schedule Hours: 9am-5pm Monday-Friday – specific times adaptable, could be 8:30-4; Canadian Banking Analytics – focused on Personalization Squad Project Personalization Squad – to create personalized journeys to better tailor marketing communications to banking customers. 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 1) 10+ 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 ~1) Google Cloud, Hadoop, Big Data, Data Lake experience ~2) Experience in Adobe Analytics be an asset ~4) Previous experience with Banks/ FI is nice to have Bachelor’s degree in related field 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 Skill in distilling complex data into clear, concise insights. AI may be used in evaluating candidates.

📌 Senior Data Analyst (10+ years) to build personalized customer journeys using SQL, Python, and Big Query- 41535 (Toronto)
🏢 S.i. Systems
📍 Toronto