Data Analyst

Role Overview

• Managing behavioural and revenue based split tests across acquisition, activation and monetization
• Building and maintaining analytic dashboards, reports, funnels, and experiments that help the business understand how users discover, adopt and get value from Shift
• Building systems to pull and transform data from distributed sources to create, measure and maintain recurring reports
• Tracking and analyzing user LTVs and cohorts to inform product and growth decisions
• Partner with Product and Business Intelligence teams to validate assumptions, stress test hypotheses, and answer questions about our data
• Providing clear, concise analysis and visualizations to key stakeholders
• Digging into our data to surface anomalies, flag risks and identify opporutnties
• Writing scripts to automate reporting workflows and reduce manual data pulls
• Using AI tooling proactively for data cleaning, exploratory analysis or speeding up repetitive tasks
• Setup your environment, reviewed Mixpanel and active tests
• Met with key stakeholders from Product, BI, Technology and Marketing teams
• Understand how Shift operates, what we measure and why
• Improved or rebuilt at least one key report or dashboard with clear business value
• Identified and documented any data quality issues and worked with developers to address gaps in tracking
• Contributed analysis to at least one active product or monetization initiative
• You’re the go to person for data questions across Revenue, Product and Growth
• Built a stable reporting foundation for performance, user behaviour and product usage
• Delivered insights that directly shaped a product feature or distribution decision

Requirements

• 3+ years of experience in a data analyst role, ideally in digital media, adtech or performance marketing
• Strong SQL skills and comfort working with cloud data infrastructure (e.g. AWS S3 or similar)
• Hands on experience with product analytics platforms e.g. Mixpanel, Google Analytics, Amplitude, Fullstory, or Heap
• Solid understanding of performance marketing metrics and digital ad ecosystems (CPM, CPA, LTV, ROAS, fill rate, etc)
• Basic Competent with Python or other scripting languages for automating data pulls, cleaning datasets and building lightweight ELT workflows
• Experience building dashboards and data visualizations in tools like Tableau, Lookr or Jaspersoft or equivalent
• Familiarity with A/B testing methodologies, statistical significance and experimental design
• A grounding in math and statistical theory, with the ability to understand why numbers work
• Comfort using AI tools (when applicable) to accelerate analysis and automate routine work
• Ability to explain your insights clearly to both technical and non-technical audiences

Tech Stack

• AWS
• Cloud
• Python
• SQL
• Tableau

Benefits

• Competitive compensation and RRSP matching up to 5%
• Comprehensive extended health benefits for you and your dependents starting day one
• Generous vacation, Wellness Days, and bonus “You Days”
• Meaningful paid parental leave that supports every kind of family
• Dedicated mental health and Employee Assistance Program support
• Monthly wellness reimbursement and annual run sponsorship
• Real investment in your growth — internal learning, mentorship, professional development funding, and career mobility across Redbrick
• Financial wellness coaching to support your long-term goals
• Flexible work and a home office allowance to set you up for success