Data Analyst | Customer Journey & Attribution

Overview

Data Analytics Manager role leading performance tracking and analysis across digital customer lifecycle touchpoints and 1:1 Customer Success efforts for the Command Center Software Customer Success team.

What you'll do

• 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 their correlation with product usage and customer retention.
• 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.
• 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.
• Provide CSA leadership and Campaign Strategists with data-backed recommendations to refine intervention thresholds, CTA targeting rules, and playbook messaging.
• Partner with Campaign Strategy and Product Insight to identify customer segments and usage patterns, refining trigger logic for automated campaigns and automated Gainsight CTAs.
• 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.
• Find, clean, transform, and organize messy data from disparate sources into reliable datasets.
• Partner with Product Insights and CS Ops to unify identity resolution, standardize tags hygiene, and user event logging across the post-sale customer journey.
• Build clear, reliable dashboards (using Tableau or Looker) providing visual transparency into campaign performance, attribution splits, and channel efficiency.
• Use AI tools (like Claude) to speed up writing SQL, scripting, data cleaning, and complex analysis.

What you'll need

• 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 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 to quantify isolated and combined touchpoint impact.
• Advanced SQL skills; hands-on experience with Snowflake, BigQuery, or Redshift.
• Proven ability to build clear, functional dashboards using Tableau, Looker, or Power BI.
• Familiarity or hands-on experience with Gainsight, Salesforce, or HubSpot.
• Demonstrated ability to clean, transform, and organize messy data from disparate sources into unified, reliable datasets for identity resolution and event tracking.
• Ability to translate complex analytical concepts and multi-touch models into clear, actionable insights for business stakeholders (Campaign Strategy, Product Insights, and CS Ops).
• Legal authorization to work in the U.S. indefinitely is required.

Nice to have

• Hands-on experience using AI tools (such as Claude, ChatGPT, or Copilot) to accelerate daily analytical tasks, SQL query writing, data preparation, and scripting.
• Deep experience connecting hybrid digital engagement metrics (in-app triggers, email engagement) directly with Gainsight Call-to-Action (CTA) outcomes, meeting events, and CRM lifecycle stages.
• Deep familiarity with early-stage SaaS metrics (Time-to-Value, active usage, feature adoption) and their mathematical correlation to long-term financial metrics like Net Revenue Retention (NRR) and expansion revenue.

Details

• Target base salary range: $100,000 - $125,000 USD; pay varies based on job-related knowledge, skills, and experience.
• Employer work permit sponsorship is not available for this position.
• Travel requirement: under 10%.
• Relocation provided: None.
• Position type: Experienced.
• Referral payment plan: Yes.