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Marketing Analyst

https://www.roberthalf.com Logo

Robert Half

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Location:
United States, Riverwoods

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Category:
-

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Contract Type:
Not provided

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Salary:

Not provided

Job 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.

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
  • eligibility to enroll in company 401(k) plan.

Additional Information:

Job Posted:
June 06, 2025

Work Type:
On-site work
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