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Обязанности описаны понятно, а работа в крупном банке даст широкий опыт в цифровой аналитике и включает конкретные льготы. При этом уровень Senior не вполне сочетается с требованием опыта до двух лет.
Senior Analyst, Digital Platforms & Insights (Adobe Analytics): Supporting the implementation, governance, and analysis of Adobe Analytics and Customer Journey Analytics for digital web and mobile experiences with an accent on data quality, KPI definition, dashboards, and stakeholder collaboration. Focus on validating data flows, troubleshooting platform issues, translating business requirements into analytics solutions, and identifying trends that improve client experiences and business decisions.
Location: Toronto, ON, Canada; hybrid work with 1–3 days per week on-site and the remaining days remote. Candidates must be legally eligible to work at the specified location and, where applicable, hold a valid work or study permit.
Company
CIBC is a relationship-oriented bank developing digital experiences and services for modern clients.
What you will do
Support the configuration, implementation, testing, maintenance, and release readiness of Adobe Analytics and Customer Journey Analytics across web and mobile experiences.
Assist with data layer and tagging specifications, dimensions, metrics, events, data views, connections, data-flow validation, troubleshooting, and production monitoring.
Work with Product, Marketing, Digital, Analytics, Technology, and QA stakeholders to define requirements, use cases, KPIs, user stories, acceptance criteria, and delivery tasks.
Build and maintain reports and dashboards, analyze digital journeys and product performance, and communicate findings, trends, observations, and recommendations.
Maintain documentation, follow privacy and data-quality controls, support governance, and identify improvements to platform reliability and data accuracy.
Participate in workshops, testing, sign-off, delivery discussions, and continuous learning around Adobe Analytics and Customer Journey Analytics.
Requirements
Bachelor’s degree in Computer Science, Engineering, Information Technology, Business Analytics, Marketing Technology, or a related field, or equivalent experience.
Up to 2 years of relevant experience in digital analytics, reporting, data analysis, or a related field.
Foundational understanding of web or mobile analytics, data layers, tagging and tracking, dimensions, metrics, events, dashboards, testing, and data validation.
Experience with modern data platforms and comfort learning from technical documentation, data mappings, and implementation specifications.
Strong organizational, analytical, critical-thinking, problem-solving, and decision-making skills, including the ability to independently identify and analyze business and technical problems and recommend solutions.
Ability to support requirements discussions, document use cases and KPIs, contribute to backlog refinement, and connect business objectives to analytics tasks.
Strong communication and collaboration skills, including the ability to translate business requirements into practical data solutions and communicate with technical and non-technical stakeholders.
Ability to build positive working relationships across Product, Marketing, Digital, Analytics, Technology, and QA teams.
Values aligned with trust, teamwork, and accountability.
Nice to have
Exposure to Adobe Analytics, Customer Journey Analytics, or Google Analytics through work experience, internships, coursework, or certifications.
Proficiency in JavaScript, SQL, Python, or R.
Culture & Benefits
Hybrid work arrangement with flexibility to manage work activities.
Competitive salary, incentive pay, banking benefits, and a benefits program.
Defined benefit pension plan, employee share purchase plan, vacation offering, and wellbeing support.
Social, points-based recognition through MomentMakers and a paid Purpose Day for personal growth and development.
Inclusive and accessible candidate and workplace environment.
Hiring process
Applications may include an attribute-based assessment and other skills tests, such as simulation, coding, or French proficiency testing.
Artificial intelligence tools may be used during the recruitment process.
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