Digital Performance Analytics Sr. Specialist
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What you'll do
- Develop and execute data-driven strategies aligned with business objectives.
- Analyze CRM and digital data to identify customer behavior and marketing performance insights.
- Lead data-driven marketing initiatives with stakeholders.
- Design dashboards, visualizations, reports, and presentations for business decision-making.
- Partner with business leaders to identify opportunities and challenges that can be addressed through analytics.
- Design experiments and conduct significance testing and statistical modeling.
- Deliver advanced analytics projects covering data ingestion, management, extraction, and predictive modeling.
- Support the transition from reactive analytics to predictive and prescriptive analytics.
- Collaborate with developers and data engineers on cloud and big data projects.
What they're looking for
- Experience in data-driven strategy development and execution.
- Proficiency in analyzing CRM and digital marketing data.
- Experience designing dashboards, visualizations, and reports for business decision-making.
- Experience with statistical modeling, significance testing, and experimental design.
- Experience with advanced analytics projects including data ingestion, management, and predictive modeling.
- Experience working in complex, cross-functional stakeholder environments.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
PURPOSE
Reporting to the Manager Digital Performance Analytics, you will integrate data-driven insights into commercial initiatives across digital consumer journeys. You will turn business and consumer data into strategic insights, align analytics with business priorities, build dashboards and reports, and improve data literacy across the organization. You will also collaborate with regional and global teams on advanced analytics, machine learning, and AI projects.
KEY RESPONSIBILITIES
• Develop and execute data-driven strategies aligned with business objectives.
• Analyze CRM and digital data to identify customer behavior and marketing performance insights.
• Lead data-driven marketing initiatives with stakeholders.
• Design dashboards, visualizations, reports, and presentations for business decision-making.
• Partner with business leaders to identify opportunities and challenges that can be addressed through analytics.
• Design experiments and conduct significance testing and statistical modeling.
• Deliver advanced analytics projects covering data ingestion, management, extraction, and predictive modeling.
• Support the transition from reactive analytics to predictive and prescriptive analytics.
• Collaborate with developers and data engineers on cloud and big data projects.
ATTITUDE AND VALUES
• Strategic mindset with a strong focus on business impact.
• Experience working in complex, cross-functional stakeholder environments.
• Ability to make fast, informed decisions and explain complex data clearly.
• Proactive, adaptable, collaborative, and solution-oriented approach.
Company
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