Lead en analyse de données marketing chez Lightspeed, plateforme infonuagique de commerce tout - en - un. Pilotage des rapports, tableaux de bord et insights pour accélérer la génération de prospects.
About the role
- Lead Data Analyst driving marketing reporting, KPI analysis, and data quality for Lightspeed’s global commerce platform. Mentoring analysts and automating processes across Marketing, RevOps, and Data teams.
Responsibilities
- Lead development of reporting and dashboards to analyze Marketing effectiveness and support full-funnel programs
- Generate weekly and monthly reports on marketing KPIs, including leads, conversion rates, website traffic, and content engagement
- Structure complex and ambiguous marketing questions and conduct insightful analyses
- Evaluate and improve data quality, completeness, compliance, and cleanliness in Google Analytics, Salesforce, and other systems
- Continuously improve existing processes and collaborate with Marketing to create automated processes that accelerate the business
- Work cross-functionally with RevOps, Corporate Data, and other teams to maintain data integrity and a single source of truth
- Serve as the senior member of a three-person analytical team
- Mentor junior team members and help develop their technical and business skills
Requirements
- Advanced SQL skills
- Experience with BigQuery and GCP is an asset
- Strong business acumen and ability to translate business needs into data requirements
- Advanced knowledge of Looker or other BI tools such as Tableau or Power BI
- Strong expertise in data analysis
- Experience with Google Analytics or other web analytics tools
- Knowledge of conversion rates, web metrics, and other marketing metrics
- Appetite to implement AI solutions to streamline delivery and scale impact
- Experience with Python, R, or other programming languages is beneficial but not necessary
- Experience working in or closely with digital marketing is beneficial but not necessary
- Data engineering experience is beneficial but not necessary
- Experience in A/B testing is beneficial but not necessary
- Ability to understand business context
- Willingness to learn new data systems
- Ability to take directions and communicate issues
- Ability to work independently
- Attention to data accuracy and integrity
- Self-motivated and detail-oriented
- Ability to work in a fast-paced, rapidly changing environment and manage ambiguity and complexity
- Strong analytical and organizational skills
Benefits
- Flexible work environment
- Flexible paid time off and remote work policies
- Equity options
- Contributions to your pension plan
- Training opportunities
- Health and wellness credit
- Time off to volunteer
- Interest groups, employee-led networks, social committees, and sponsored sports teams
- Computer purchase program for a personal MacBook
- Enhanced parental leave
- Continuous learning opportunities
- Global mobility
- Benefits designed to support employees
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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