Data Analyst, Customer Journey & Attribution

Motorola Solutions

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
ILNCIAMANJGACTVAFLNYMDSCUTTXNVMIWI
Salary
$100,000–$125,000 / yr
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $158k
This role $112k
$89k $199k
below market most similar roles pay here above market

This role pays less than 88% of similar roles. Most pay $126,800–$188,237 — the blue band above. At the midpoint, this role pays about $112k versus about $158k for comparable roles.

Based on 240 similar postings.

Employer

About Motorola Solutions

Motorola Solutions, Inc. (NYSE: MSI) is a leading American technology company providing mission-critical communications, video security, and analytics for public safety and enterprise customers.

Motorola Solutions currently has 163 open roles on FindRole.

Listed pay typically runs $100,000–$130,000 across 125 roles with salary data.

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View all roles at Motorola Solutions

At a glance

TL;DR · Data Analyst, Customer Journey & Attribution

JOB TITLE: Data Analyst | Customer Journey & Attribution The Data Analyst | Customer Journey & Attribution joins the Command Center Software Customer Success team as a hands-on individual contributor. This role focuses on leading performance tracking and analysis across digital customer lifecycle touchpoints and 1:1 Customer Success efforts. You will build and maintain multi-touch attribution models to quantify the impact of digital engagement, such as automated emails and in-app triggers, alongside human interventions. Key responsibilities include establishing data pipelines, identifying behavioral segments, and building dashboards to track metrics like time-to-value and net revenue retention. You will utilize SQL, Python, R, Snowflake, BigQuery, Redshift, Tableau, Looker, Gainsight, and Salesforce. The role solves the business problem of connecting early-stage adoption metrics to long-term financial outcomes while ensuring data hygiene across disparate sources.

What does a Data Analyst earn?

Median $126800 from 74 postings across 24 companies.

See salary data

What you'll do

  • Build and maintain multi-touch attribution models to quantify the impact of digital touchpoints and human interventions on customer retention.
  • Establish data pipelines connecting digital engagement metrics with Gainsight outcomes, meeting logs, and CRM lifecycle stages.
  • Connect early-stage adoption metrics to long-term business outcomes like net revenue retention and expansion revenue.
  • Provide data-backed recommendations to refine intervention thresholds, CTA targeting rules, and playbook messaging.
  • Identify customer segments and usage patterns to refine trigger logic for automated campaigns and Gainsight CTAs.
  • Clean, transform, and organize messy data from disparate sources into reliable datasets for identity resolution and event tracking.
  • Build clear dashboards in Tableau or Looker to provide visual transparency into campaign performance and channel efficiency.
  • Use AI tools to accelerate SQL writing, scripting, data cleaning, and complex analytical tasks.

What we're looking for

  • Must be a US Citizen currently residing in the United States.
  • Must have legal authorization to work in the U.S. indefinitely.
  • 5+ years of experience in data analytics, marketing analytics, or Revenue/CS Operations.
  • At least 2 years of experience focused on attribution modeling or lifecycle analytics in SaaS.
  • Proven track record as a hands-on Individual Contributor with a strong Business Operations background.
  • Hands-on experience building multi-touch attribution models using SQL, Python, or R.
  • Advanced SQL skills and hands-on experience with Snowflake, BigQuery, or Redshift.
  • Ability to build functional dashboards using Tableau, Looker, or Power BI.
  • Familiarity or hands-on experience with Gainsight, Salesforce, or HubSpot.
  • Ability to translate complex analytical concepts into actionable insights for business stakeholders.
  • Experience using AI tools like Claude, ChatGPT, or Copilot to accelerate analytical tasks (preferred).
  • Deep experience connecting hybrid digital engagement metrics with Gainsight CTA outcomes and CRM lifecycle stages (preferred).
  • Deep familiarity with SaaS metrics like Time-to-Value and Net Revenue Retention (preferred).

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