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Role: Marketing Analyst

Location: Chicago, IL

Duration: Long Term Contract

Only Local candidates

Client s Note

They are looking for someone who can build a model around X here are the attributes we care about: credit bureau, consumer-level, application-level, etc. From there, someone who not only knows where to get the data, but can help build a model, translate it into strategy, and then partner with me to test and learn.
He s looking for someone who:
Has built machine learning models that drove tangible outcomes e.g., improving capture rates, reducing losses, increasing conversion.
Has experience turning models into strategies whether it s credit, pricing, or marketing.
Has done segmentation, clustering, or targeting work to differentiate strategies across customer types.

Role Summary

This role will be responsible for end-to-end marketing performance reporting and deep-dive analysis across digital, direct mail, and cross-channel campaigns. The ideal candidate brings hands-on experience in Google and/or Adobe Analytics, marketing mix modeling, next stage/advanced attribution, and has a strong grasp of customer journey and offer optimization in the financial services space.

Key Responsibilities

Own and evolve reporting frameworks that measure performance across digital (paid search, display, social) and direct mail campaigns, providing actionable insights on conversion, ROI, and funnel behavior.
Leverage tools like Google Analytics, Adobe Analytics, and internal tracking platforms to analyze marketing touchpoints and customer journey behaviors.
Develop and implement multi-touch and next-stage attribution methodologies to better understand incremental lift across marketing channels.
Support and enhance marketing mix models, A/B test design, and response modeling to guide spend allocation and offer strategy.
Collaborate with marketing, data science, and finance teams to optimize campaign performance, creative strategy, and acquisition cost efficiency.
Create clear, executive-friendly dashboards and performance updates to guide ongoing marketing decision-making.

Required Qualifications

Bachelor s degree in marketing Analytics, Business, Statistics, or related field.
6-10 years of experience in marketing analytics within a data-rich environment, preferably financial services, fintech, or digital subscription businesses.
Deep knowledge of Google Analytics and/or Adobe Analytics, with experience navigating UTM strategy, path analysis, and digital engagement metrics.
Hands-on experience with direct mail campaign analysis, including offer testing and segmentation.
Familiarity with next-touch attribution, media mix modeling, or other advanced marketing measurement techniques.
Strong SQL skills and experience with data visualization tools (Tableau etc.).
Exposure to marketing automation platforms (e.g., Salesforce Marketing Cloud, Adobe Campaign).
Understanding of cloud data infrastructure (Snowflake, AWS) is a plus.

Qualifications

They are looking for someone who can build a model around X here are the attributes we care about: credit bureau, consumer-level, application-level, etc
From there, someone who not only knows where to get the data, but can help build a model, translate it into strategy, and then partner with me to test and learn
The ideal candidate brings hands-on experience in Google and/or Adobe Analytics, marketing mix modeling, next stage/advanced attribution, and has a strong grasp of customer journey and offer optimization in the financial services space
Bachelor s degree in marketing Analytics, Business, Statistics, or related field
6-10 years of experience in marketing analytics within a data-rich environment, preferably financial services, fintech, or digital subscription businesses
Deep knowledge of Google Analytics and/or Adobe Analytics, with experience navigating UTM strategy, path analysis, and digital engagement metrics
Hands-on experience with direct mail campaign analysis, including offer testing and segmentation
Familiarity with next-touch attribution, media mix modeling, or other advanced marketing measurement techniques
Strong SQL skills and experience with data visualization tools (Tableau etc.)
Exposure to marketing automation platforms (e.g., Salesforce Marketing Cloud, Adobe Campaign)

Responsibilities

Has built machine learning models that drove tangible outcomes e.g., improving capture rates, reducing losses, increasing conversion
Has experience turning models into strategies whether it s credit, pricing, or marketing
Has done segmentation, clustering, or targeting work to differentiate strategies across customer types
This role will be responsible for end-to-end marketing performance reporting and deep-dive analysis across digital, direct mail, and cross-channel campaigns
Own and evolve reporting frameworks that measure performance across digital (paid search, display, social) and direct mail campaigns, providing actionable insights on conversion, ROI, and funnel behavior
Leverage tools like Google Analytics, Adobe Analytics, and internal tracking platforms to analyze marketing touchpoints and customer journey behaviors
Develop and implement multi-touch and next-stage attribution methodologies to better understand incremental lift across marketing channels
Support and enhance marketing mix models, A/B test design, and response modeling to guide spend allocation and offer strategy
Collaborate with marketing, data science, and finance teams to optimize campaign performance, creative strategy, and acquisition cost efficiency
Create clear, executive-friendly dashboards and performance updates to guide ongoing marketing decision-making

Marketing Analyst :: Chicago, IL, USA (Local Candidate Only)

Job Type