Consultant

LatentView

$90K — $130K *
Business Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4-8 years of experience in data science or analytics
  • Strong background in marketing analytics and lifecycle campaigns
  • Proficiency in statistical analysis and experimentation techniques
  • Ability to translate complex data into actionable marketing strategies
  • Excellent collaboration skills across cross-functional teams

Responsibilities

  • Drive growth in Adobe's B2B ecosystem using advanced analytics and AI insights
  • Collaborate with various teams to analyze customer behavior and engagement
  • Optimize marketing campaigns by identifying patterns and trends
  • Measure and report the impact of lifecycle marketing initiatives
  • Conduct A/B testing and other experimental methods to gauge effectiveness
  • Perform ad hoc analyses to support decision-making processes

Benefits

  • Opportunity to work at a leading tech company
  • Engage in cross-functional projects with diverse teams
  • Gain exposure to advanced analytics and marketing strategies
  • Contribute to impactful lifecycle marketing initiatives
  • Work in a dynamic and innovative environment
Full Job Description
Job Description

Designation: Consultant

Level: L3

Experience: 4 to 8 years

Location: San Jose, California, United States.

Key Responsibilities

We are looking for a Data Scientist / Analytics Consultant to join the Lifecycle Marketing (LCM) & Engagement Analytics team. This role sits at the intersection of marketing, data science, and product analytics - helping drive growth across Adobe's B2B ecosystem through advanced analytics, experimentation, and AI-driven insights.

You will collaborate closely with stakeholders across Product Marketing, Lifecycle Marketing, Data Engineering, and AI enablement teams to uncover behavioral patterns, optimize engagement campaigns, and identify early warning signals of churn and dormancy. The ideal candidate is both technically strong and business-savvy, able to translate data into actionable recommendations that shape lifecycle marketing strategy and business growth.

Quantify incremental impact of lifecycle programs (email, onboarding, resurrection) using hold-out tests, A/B experiments, and incrementality frameworks.

Report on campaign performance.

Do ad hoc analysis

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