Marketing Analytics Manager Job South Naperville Area area,Illinois USA,IT/Tech

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This range is provided by Mondo. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$/yr - $/yr

Position Overview

We are looking for a curious, driven, and detail-oriented Marketing Analytics Manager to join our growing team. In this role, you’ll be the key analytics lead for our direct mail acquisition efforts — helping shape and optimize campaign strategy through data, reporting, and experimentation. You will work closely with marketing, finance, and analytics teams to forecast performance, evaluate results, and identify actionable insights that directly impact growth.

Key Responsibilities

Serve as the primary analytics partner for direct mail acquisition campaigns.
Forecast acquisition volumes and accounts before campaign launch.
Monitor campaign performance in real time and evaluate results against forecasts.
Conduct post-campaign analyses to identify trends, performance drivers, and areas for improvement.
Develop and execute A/B tests and campaign experiments from design through final analysis.
Query and analyze large datasets using SQL and other tools to extract insights and drive decision-making.
Collaborate with the broader Marketing Analytics team to design dashboards, build reports, and track key metrics.
Translate complex data into clear, actionable recommendations for campaign optimization and long-term planning.
Support new marketing initiatives by identifying opportunities through data.
Manage multiple projects simultaneously, staying organized and meeting tight deadlines.

Qualifications

Must-Haves:

Bachelor’s degree in Marketing, Data Science, Statistics, or a related field — or equivalent experience.
4+ years of hands-on experience analyzing large-scale direct mail campaigns (millions of mailers monthly).
Strong proficiency in SQL — this is a critical skill.
Advanced Excel skills; proficiency with Microsoft O365.
Strong working knowledge of A/B testing and experimentation methodologies.
Familiarity with data visualization tools like Looker, PowerBI, or Tableau.
Strong organizational and multitasking skills.
Passion for analytics and turning data into strategy.

Preferred:

Experience with Snowflake or similar cloud data warehousing solutions.
Working knowledge of Python or R for advanced statistical analysis.
Background in financial services or institutions a plus.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function Marketing
Industries Staffing and Recruiting

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