Marketing Data Analytics Manager

Company Overview

At Motorola Solutions, we believe that everything starts with our people. We are a global close-knit community united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property, and places. Our solutions foster collaboration that is critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately safer nations. Connect with a career that matters, and help us build a safer future.

The Market Intelligence function is a dedicated strategic team within the Chief Marketing Organization designed to embed evidence-based insights into our global strategy. This capability serves as the primary engine for identifying emerging market trends and evolving customer needs, ensuring our brand maintains a distinct and resonant value proposition. By synthesizing high-fidelity research, this team optimizes our market positioning and resource allocation to drive long‑term, sustainable growth in a dynamic landscape.

We are looking for a strategic and highly technical Marketing Data Analytics Manager to join our marketing intelligence efforts. In this role, you will bridge the gap between technical data infrastructure and marketing strategy—transforming raw web, lead, and campaign data into actionable growth insights. You will oversee our tracking ecosystem, manage marketing dashboards, guide a distributed team across diverse global markets, and champion data‑driven decision‑making across our growth, product, and sales pipelines.

• Analytics Strategy & Leadership:
  Drive the MI Empowerment Vision by owning full end‑to‑end customer data ownership to resolve historical reporting gaps and guarantee data integrity. Define and standardize key performance metrics across the core data lifecycle stages:
  Data Ingestion, Account Management, and Cross‑Platform Analytics.
• Campaign & Lead Optimization:
  Analyze UTM campaign data and lifecycle metrics within Salesforce and Hub Spot. Scale optimization efforts by operationalizing Zoom Info Intent signals to generate fresh outbound target groups.
• Web Analytics & Tagging Management:
  Oversee web data architecture and tagging while managing core data ingestion workflows. Establish protocols for securely and efficiently uploading list leads directly into Hub Spot to construct a clean, reliable data baseline for all marketing initiatives.
• Data Visualization & Reporting:
  Build, maintain, and scale high‑impact dashboards using Tableau or Looker to deliver analytics. Provide the marketing organization with highly consistent, reliable, and consolidated reporting frameworks that unify metrics across all primary platforms.
• Conversion Optimization (CRO):
  Design and evaluate rigorous A/B testing frameworks, pairing statistical outcomes with user behavior insights from heatmap tools to optimize digital experiences.
• Data Engineering
  
  Collaboration:
  
  Utilize SQL to query data warehouses and collaborate with engineering on data pipelines. Take technical ownership of high‑impact automation tools to handle data normalization, reporting, and architect automated post‑event account routing.

• Core Technical Stack:
  Advanced proficiency in writing SQL queries and building advanced visual reports.
• Web Data & Tagging Expertise:
  Deep understanding of GA4 architecture and hands‑on experience deploying complex tracking schemas.
• Funnel Analytics:
  Comprehensive understanding of the lead lifecycle, attribution modeling, and pipeline data flowing through CRMs and MAPs.
• Testing & Behavior Analysis:
  Solid grasp of A/B testing methodologies (statistical significance, sample sizes) and experience leveraging heatmap tools to analyze user friction points.
• Communication:
  Exceptional ability to synthesize complex technical data into concise, strategic narratives for executive leadership.
• Advanced Attribution:
  Experience data‑blending ad platform APIs with CRM data to build custom multi‑touch attribution models.
• Programming
  
  Skills:
  
  Experience using Python (specifically pandas, numpy, or matplotlib) for data manipulation, automation, or…