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Description

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.

Key Responsibilities

+ 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

Required Qualifications

+ 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.

Preferred Qualifications

+ 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.

Remote candidates will be considered, but client's preference is a candidate local to the Chicago area.

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All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

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