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Marketing Analytics & Data Modeling Consultant

RKMC Inc.Naperville, IL🇺🇸United StatesPosted 2 Sept 2026

Why This Role Stands Out

This hybrid role offers exceptional career growth by leveraging your expertise in data modeling, Python/R, and Salesforce to drive impactful marketing analytics strategies. You'll thrive here if you're passionate about translating complex data into actionable insights and building robust reporting frameworks within a collaborative environment. If you're ready to shape the future of marketing analytics, this is an exciting opportunity to apply.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Naperville, IL, United States
Posted
1 week ago
Event Marketing

Job Description

Must-Have Skills
  • Data Modeling Strong hands-on experience designing data models for customer, marketing, or analytics use cases.
  • Salesforce Hands-on experience working with Salesforce customer and campaign data.
  • Python & R Strong experience using Python and R for data analysis, statistical analysis, and predictive modeling.
  • Marketing Analytics Experience analyzing customer behavior, campaign performance, and marketing effectiveness.
  • Customer Segmentation Experience developing data-driven customer segmentation strategies.
  • Data Integration Experience assessing and improving data flows across multiple systems.
  • Predictive Analytics Experience evaluating or developing predictive/statistical models.
  • Data Quality & Governance Experience identifying data quality issues and establishing reliable data structures for analytics.
  • Reporting & Measurement Experience developing marketing KPIs, campaign measurement, and performance reporting.
  • Strategy & Roadmap Development Ability to translate technical findings into a practical implementation roadmap.
Preferred Skills
  • Experience with Acoustic or similar marketing platforms.
  • Experience with SimpleTexting, Swoogo, SMS, or event marketing platforms.
  • Experience with Microsoft/Azure data technologies.
  • Experience modernizing existing R-based analytical models.
  • Experience with customers

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