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Data Analyst – Customer Journey, Attribution

🕒 October 26

🦌 Connecticut, Florida, +13 more states – Remote

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💵 $100k - $125k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

Where this job comes from

Posted on Motorola Solutions's careers page, not through a job board

First seen by Remote Rocketship October 26

Still open on Motorola Solutions's site. Checked 1 hour ago.

Logo of Motorola Solutions

Motorola Solutions

10,000+ employees

Founded 1928

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Motorola Solutions is a company that provides a comprehensive safety and security ecosystem, offering technology solutions to protect people, property, and places. The company specializes in critical communications, video security systems, command center solutions, and managed & support services. Their products include mission-critical P25 radios, professional DMR radios, broadband devices, and video security systems powered by AI analytics. Motorola Solutions serves various industries, including public safety, education, healthcare, law enforcement, and more, with a focus on enhancing operational efficiency and response in critical situations. They are committed to delivering solutions that help their customers stay connected, communicate clearly, and act with certainty in the harshest conditions.

📋 Description

• Design, maintain, and iterate multi-touch attribution models measuring adoption efforts, digital touchpoints, and Customer Success interventions • Build data pipelines connecting email, in-app, product usage, event engagement, Gainsight CTA, meeting, and CRM lifecycle data • Connect adoption metrics to net revenue retention, expansion revenue, and customer retention • Provide data-backed recommendations on intervention thresholds, CTA targeting rules, and playbook messaging • Identify customer segments and usage patterns to refine automated campaign and Gainsight CTA trigger logic • Analyze journey drop-off points and conversion velocity to identify intervention opportunities • Find, clean, transform, and organize disparate data into reliable datasets • Unify identity resolution, tag hygiene, and user event logging across the post-sale customer journey • Build dashboards in Tableau or Looker for campaign performance, attribution, and channel efficiency • Use AI tools to accelerate SQL writing, scripting, data cleaning, and complex analysis • Partner with Campaign Strategy, Product Insights, CS Operations, Sales, Product, Deployment, and Support teams

🎯 Requirements

• 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 • Proven track record as a hands-on Individual Contributor (IC) with a strong Business Operations background • Must be a US Citizen and currently reside/live in the United States • Direct, hands-on experience building multi-touch attribution models using SQL, Python, or R • Advanced SQL skills • Hands-on experience with Snowflake, BigQuery, or Redshift • Ability to build dashboards using Tableau, Looker, or Power BI • Familiarity or hands-on experience with Gainsight, Salesforce, or HubSpot • Ability to clean, transform, and organize messy data from disparate sources into unified datasets • Ability to translate complex analytical concepts and multi-touch models into clear, actionable insights • Legal authorization to work in the U.S. indefinitely • Employer work permit sponsorship is not available • Hands-on experience using AI tools such as Claude, ChatGPT, or Copilot • Deep experience connecting in-app triggers and email engagement with Gainsight CTA outcomes, meeting events, and CRM lifecycle stages • Deep familiarity with Time-to-Value, active usage, feature adoption, Net Revenue Retention, and expansion revenue • Travel under 10%

🏖️ Benefits

• Incentive Bonus Plans • Medical, Dental, Vision benefits • 401K with Company Match • 10 Paid Holidays • Generous Paid Time Off Packages • Employee Stock Purchase Plan • Paid Parental & Family Leave • Referral Payment Plan

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