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Adobe Customer Journey Analytics Professional - CJA

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Onsite

Adobe Customer Journey Analytics Professional - CJA

Golden Opportunities

Adobe Customer Journey Analytics Professional - CJA

Skills

Data ScienceData AnalysisAdobe AnalyticsJavascript

1 month ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Onsite

Published on:

21 September 2026

What they need


Skills

XDM schema design, data ingestion (batch & streaming), and Profile Store setup,Adobe Cloud, AEP

Specific Remarks

Bachelor s Degree regular mandatory

Detailed Job Description

  • 4+ years ofexperience in digital analytics, with a focus on Adobe CJA, Adobe Analytics,and AEP
  • Strong expertisein cross-channel data integration and analysis
  • Experience withcreating reports, dashboards, and visualizations in Adobe CJA Workspace
  • Proficient inusing Adobe Experience Platform to manage customer profiles and dataconnections
  • Solidunderstanding of JavaScript, HTML, and tag management tools (e.g., AdobeLaunch)
  • Analyticalmindset with strong problem-solving skills and attention to detail
  • Excellentcommunication skills, with the ability to translate data insights into businessstrategies

Key Responsibilities:

  • Data Analysis & Insights:Utilize Adobe CJA to analyze cross-channelcustomer data and provide actionable insights
  • Create and optimize interactive dashboards andvisualizations to communicate customer journey trends and KPIs
  • Customer Journey Mapping:Develop comprehensive customer journey maps tounderstand behavior across touchpoints
  • Identify pain points, opportunities, and keymoments in the customer lifecycle
  • Adobe Experience Platform (AEP):Integrate and manage data sources within AEPto ensure seamless data flow for CJA
  • Configure schemas, datasets, and connectionsin AEP for effective customer data management
  • Adobe Analytics Expertise:Perform deep-dive analysis using AdobeAnalytics for digital performance and user engagement metrics
  • Collaborate with teams to implement taggingand tracking strategies for accurate data collection
  • Stakeholder Collaboration:Work closely with marketing, product, and datascience teams to align analytics efforts with business goals
  • Present findings and recommendations to bothtechnical and non-technical stakeholders
  • Optimization & Personalization:Support personalization efforts by analysingaudience segments and content performance
  • Recommend strategies to improve campaignperformance and customer engagement

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