20 часов назад
Marketing Analytics Lead
90 900 - 144 430$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Marketing Analytics Lead (Marketing Analytics/Data Visualization): Developing analyses, dashboards, data models, and measurement frameworks that improve marketing performance, campaign ROI, funnel metrics, and customer behavior analysis with an accent on self-serve BI, data integrity, and attribution. Focus on optimizing campaigns through cross-functional analytics solutions, marketing mix modeling, and scalable cloud data platforms.
Location: Work from home in the United States
Salary: $90,900–$144,430 per year
Company
provides banking and financial services, supported by client insights, analytics, and modern data platforms.
What you will do
- Develop analyses, dashboards, and reports covering marketing performance, campaign ROI, funnel metrics, and customer behavior.
- Build self-service visualizations in Power BI and similar business intelligence tools for marketing KPI tracking.
- Develop and maintain scalable data models with accurate and reliable reporting.
- Advise marketing leaders and channel owners on data-driven campaign and program optimization.
- Contribute to measurement frameworks, attribution models, and marketing mix optimization.
- Collaborate with data engineering, digital, and product teams to deliver scalable analytics solutions.
Requirements
- Undergraduate degree or equivalent four-year education.
- At least seven years of hands-on experience in marketing analytics, data visualization, or related roles.
- Experience with modern data architecture, data modeling, cloud data platforms, and data transformation tools.
- Strong programming experience in SQL, Python, or R.
- Experience with Power BI, Tableau, QlikView, or another BI tool.
- Knowledge of marketing funnels, digital metrics, campaign measurement, clickstream analytics, data warehousing, and data governance.
Culture & Benefits
- Work-from-home position with nationwide United States coverage.
- Cross-functional collaboration with analytics, engineering, digital, and product teams.
- Medical, dental, vision, life, and disability insurance.
- Comprehensive leave program and potential variable compensation, bonuses, commissions, or other awards.
- Equal opportunity employment and compliance with applicable laws and regulations.
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