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This role will be responsible for delivering end-to-end marketing performance reporting and conducting in-depth analysis across digital, direct mail, and cross-channel campaigns. The ideal candidate should have hands-on experience with tools like Google Analytics and/or Adobe Analytics, marketing mix modeling, advanced attribution techniques, and possess a strong understanding of customer journey optimization and offer strategies within the financial services industry.
Job Responsibility:
Design, manage, and evolve reporting frameworks to measure performance across digital (e.g., paid search, display, social media) and direct mail campaigns, providing actionable insights on conversion, ROI, and customer funnel behavior
Use tools such as Google Analytics, Adobe Analytics, and internal data platforms to analyze marketing touchpoints and behaviors throughout the customer journey
Implement and refine multi-touch and advanced attribution models to evaluate incremental impacts across marketing channels
Build and support the development of marketing mix models (MMM), A/B testing strategies, and response modeling with the goal of optimizing spend allocation, offer performance, and campaign effectiveness
Partner with teams in marketing, data science, and finance to enhance campaign strategy, creative performance, and customer acquisition efficiency
Deliver visually clear, executive-ready dashboards and performance reports to guide data-driven marketing decisions
Create models to optimize audience targeting, segmentation, and personalization efforts across both digital and offline channels
Deploy advanced causal inference methodologies and data-driven A/B tests to assess campaign incrementality and effectiveness
Analyze customer acquisition, retention, and lifetime value metrics to improve targeting strategies, media spend, and offer positioning.
Requirements:
Bachelor’s or Master’s degree in a quantitative discipline such as Economics, Marketing Analytics, Statistics, Computer Science, or a related field
6+ years of experience in analytics, preferably within marketing operations or financial services industries
Proven expertise in statistical modeling techniques, including regression, classification, clustering, time series, and more, preferably using Python or SAS
Experience with campaign evaluation frameworks such as marketing mix modeling (MMM), multi-touch attribution (MTA), Bayesian testing, or uplift modeling
Proficiency in SQL for data analysis and manipulation
Knowledge of business intelligence (BI) tools such as Tableau, Power BI, or Looker
Strong ability to communicate complex analytical insights effectively to technical and non-technical audiences alike.
Nice to have:
Experience with customer journey analytics or designing personalization algorithms
Familiarity with leading marketing platforms such as Google Ads, Meta Ads, Adobe Marketing Cloud, etc.
Exposure to operational efficiency frameworks such as queuing theory, lean methodologies, or throughput optimization
Prior knowledge or experience in financial products, performance marketing, or consumer lending environments.
What we offer:
Access to top jobs
competitive compensation and benefits
free online training
medical, vision, dental, and life and disability insurance
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