Data Analyst | Customer Journey & Attribution

Company Overview At Motorola Solutions, we believe that everything starts with our people. We’re 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 the collaboration that’s 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. Department Overview The Motorola Solutions Command Center Software Customer Success team plays a critical role in realizing Motorola Solutions’ mission to connect people in the moments that matter. Our team ensures that Command Center Software portfolio delivers measurable value to public safety agencies and enterprises by driving deep product adoption, workflow optimization, and long-term customer loyalty. Within this organization, Customer Success Advocates focus on acting as trusted advisors who align Motorola Solutions’ capabilities with each customer’s strategic priorities. Our team use data, product expertise, and a deep understanding of customer operations to guide stakeholders through advanced use cases, maximize the impact of our mission-critical solutions, and strengthen multi-year partnerships. We partner closely with Sales, Product, Deployment, and Support teams across Motorola Solutions to translate our mission-critical technology into outcomes that protect communities and streamline operations. By being customer-obsessed and data-informed, the Customer Success organization helps customers fully integrate our solutions into daily operations, maximize their investment, and advocate for Motorola Solutions. Job Description We are looking for a practical, data-driven Data Analytics Manager to lead performance tracking and analysis across our digital customer lifecycle touchpoints and 1:1 Customer Success efforts. In this hands-on individual contributor role you will help us gather, understand and use the data we need to enable our teams and to prove the impact of our work. You will help us measure how digital touchpoints (like automated emails and in-app triggers) work alongside direct Customer Success Manager (CSM) interventions to drive faster time-to-value, account retention, and revenue growth. You’ll be the data storyteller partner for our Campaign Strategy, Product Insights, and CS Operations teams. If you’re versatile, resourceful and proactive, with a strong Business Operations background this role is the right one for you. Responsibilities 1. Attribution Modeling & Impact Tracing • Design & Custom Attribution Architecture: Build, maintain, and iterate on multi-touch attribution models to quantify the isolated and combined impact of adoption efforts, digital touchpoints and CSA human interventions and its correlation with product usage and customer retention. • Hybrid Touchpoint Tracking: Establish data pipelines connecting digital engagement metrics (email opens, in-app triggers, product usage, event engagement) with Gainsight CTA outcomes, meeting logged events, and CRM lifecycle stages. • Full-Funnel ROI & Revenue Impact: Connect early-stage adoption metrics (TTV, active usage, feature adoption) to long-term business outcomes, including net revenue retention (NRR), expansion revenue, and customer retention. 2. Campaign Feedback & Journey Optimization • Feedback Loop Optimization: Provide CSA leadership and Campaign Strategists with data-backed recommendations to refine intervention thresholds, CTA targeting rules, and playbook messaging based on holistic performance trends. • Audience & Behavioral Segmentation: Partner with Campaign Strategy and Product Insight to identify customer segments and usage patterns, refining trigger logic for automated campaigns and automated Gainsight CTAs. • Journey Bottleneck Analysis: Analyze drop-off points and conversion velocity across integrated campaign workflows to pinpoint where digital engagement stalls and where targeted intervention creates maximum incremental lift. 3. Data Operations & Reporting • Data Hygiene: Act as a flexible operator across our systems—finding, cleaning, transforming, and organizing messy data from disparate sources into reliable datasets. • Data Consistency : Partner with Product Insights and CS Ops to unify identity resolution, standardizing tags hygiene and user event logging across the post-sale customer journey. • Reporting & Dashboards: Build clear, reliable dashboards (using Tableau or Looker) that provide visual transparency into campaign performance, attribution splits, and channel efficiency. • AI Integration: Use AI tools (like Claude) to speed up writing SQL, scripting, data cleaning, and complex analysis. Preferred Qualifications • Work Experience: 5+ years of experience in data analytics, marketing analytics, or Revenue/CS Operations, including at least 2 years focused on attribution modeling or lifecycle analytics in SaaS. • Role Type & Mindset: Proven track record as a hands-on Individual Contributor (IC) with a strong Business Operations background—capable of balancing complex technical data work with practical operational problem-solving. • Location & Citizenship: Must be a US Citizen and currently reside/live in the United States. • Attribution Modeling: Direct, hands-on experience building multi-touch attribution models using SQL, Python, or R to quantify isolated and combined touchpoint impact. • Core Technical Stack:Data Warehouses: Advanced SQL skills; hands-on experience with Snowflake, BigQuery, or Redshift. Visualization: Proven ability to build clear, functional dashboards using tools such as Tableau, Looker, or Power BI. CRM & CS Operations: Familiarity or hands-on experience with Gainsight, Salesforce, or HubSpot. • Data Operations & Hygiene: Demonstrated ability to clean, transform, and organize messy data from disparate sources into unified, reliable datasets f