Data Analyst

Toronto, ON
Hybrid
Posted Sep 9, 2026
1 position

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Employment type: Contract
Experience level: Lead · 10+ years
Posting language: English
Working hours: 38 hours per week
Office presence: 3 days per week
Seniority: Associate
Application method: Direct apply is available

Job summary

Design and integrate customer segmentation and channel analytics to create personalized 1:1 customer journeys. Synthesize data across platforms to deliver business recommendations and measure the effectiveness of marketing strategies.

Job details

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 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

What you’ll do

Requirements

Requires over 8 years of experience in data analysis and advanced SQL, along with 3+ years of Python and PowerBI experience. Preference is given to candidates with marketing analytics experience and familiarity with Adobe Analytics.