Senior Data Analyst
hace 4 semanas
The Innovation and Lifecycle Marketing team is seeking a Senior Data Analyst to lead data strategy, data analysis, and insights in partnership with Lifecycle Marketers who design and deliver data-driven digital experiences across the customer lifecycle.
Responsibilities:- Data Strategy and Measurement Plan: Develop a measurement framework for each lifestage in our scope and set data direction for Lifecycle Marketers in APJ and EMEA.
- Measurement Plan: Own, track, and manage the data goals and KPIs in partnership with Lifecycle Marketers across all the post-purchase lifestages of different customer personas.
- Experience Monitoring: Partner with Lifecycle Marketers in APJ and EMEA to track and monitor campaign and test performances.
- Data Modelling and Reporting: Develop and own sophisticated data models, reports, and dashboards to track our initiatives and derive actionable insights.
- Data Analysis and Insights: Analyze complex data sets to identify trends, patterns, and insights for initiatives within the Lifecycle Marketing team.
- Experience Optimization: Review performances of existing customer journeys and uncover gaps and opportunities for optimization.
- Strategic Recommendations: Review customer behavior and identify gaps and opportunities to accelerate time to value, improve adoption rates, and enhance long-term customer satisfaction.
- Collaboration and Communications: Data Governance: Own and co-create, with other data analysts, data governance for the team and quality initiatives.
- Global Data Support: Provide analytical support to global Lifecycle Marketers on a need basis through data analysis and insights, with other data analysts.
- Technical and Operational Collaboration: Collaborate with marketing and technical global teams to convert insights into actionable data triggers.
- Communications: Own and drive 'data and insights' specific communications and presentations to senior stakeholders and internal teams.
Expected Qualifications:
- Overall 10 years of experience, with a minimum of 5+ years in complex data analysis and strategic insights from a B2B, SaaS background.
- Experience working in Marketing/Sales/Customer behavior or product usage related areas is preferred.
- Proficiency in SQL and data visualization tools (e.g., Looker, Tableau, Power BI) to extract and present insights is a must.
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