Data Analyst
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Job Description
Data Analyst at Shift focusing on user behavior and performance analysis for product optimization. Collaborating with cross-functional teams to provide actionable insights from data.
Responsibilities:
- 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
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
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