AEP/CJA Developer

This role is for one of Weekday’s clients

Min Experience: 4+ years
Location: Bengaluru, Gurgaon, Haryana, India, Pune, Maharashtra, India
JobType: full-time

We are looking for an experienced AEP/CJA Developer to support the migration, development, validation, and optimization of marketing analytics solutions using Adobe Experience Platform (AEP) and Customer Journey Analytics (CJA).

This is a hands-on technical role focused on rebuilding Adobe Analytics reporting in CJA, configuring data models and dataviews, developing clickstream-based reporting, and ensuring data accuracy across MarTech analytics pipelines. The ideal candidate should be comfortable working with AEP concepts, CJA, SQL, Databricks, and digital analytics data.

• Develop and maintain analytics solutions using Adobe Experience Platform (AEP) and Customer Journey Analytics (CJA).
• Support migration of existing Adobe Analytics reports, dashboards, segments, and calculated metrics into CJA.
• Configure and validate XDM schemas, datasets, dataviews, dimensions, metrics, and calculated measures.
• Build CJA Analysis Workspace projects and reporting solutions for web, marketing, and customer journey analytics.
• Ensure consistency and accuracy between legacy Adobe Analytics reporting and CJA implementations.
• Support analytics solutions across multiple markets, locales, languages, and digital properties.

• Work with clickstream and web behavioral data, including page views, visits, events, conversions, and traffic attribution.
• Perform end-to-end validation between AEP, Databricks, CJA, and downstream dashboards.
• Develop SQL queries to validate row counts, metric totals, dimension values, event data, and classification logic.
• Identify, investigate, and document data discrepancies across analytics pipelines.
• Create reusable SQL validation queries, comparison frameworks, and QA processes.
• Support UAT and post-deployment validation for analytics implementations.

• Build and maintain dashboards and reports using CJA and Power BI.
• Develop reporting solutions for campaign performance, landing pages, conversion funnels, email campaigns, experiments, and digital experiences.
• Create pre- and post-migration dashboards to monitor data consistency and reporting accuracy.
• Support scheduled data refreshes and reporting automation using Databricks and other data platforms.

• Support integration and reporting for marketing platforms such as Braze and experimentation tools.
• Validate campaign events including sends, opens, clicks, conversions, and other engagement metrics.
• Assist with analytics tracking for A/B testing and experimentation platforms.
• Maintain channel, sub-channel, campaign, and traffic classification logic.

• Document AEP schemas, datasets, CJA dataview logic, reporting standards, and validation procedures.
• Create reusable templates and reference guides to enable self-service analytics.
• Support weekly analytics reviews by identifying anomalies and preparing performance summaries.
• Investigate ad-hoc analytics requirements and provide accurate, data-driven insights.
• Work independently while proactively identifying blockers, data issues, and implementation gaps.

• 5+ years of experience in digital analytics, web analytics, MarTech analytics, or related technical roles.
• Strong hands-on experience with Adobe Experience Platform (AEP).
• Strong experience with Customer Journey Analytics (CJA) and CJA Analysis Workspace.
• Solid understanding of XDM schemas, datasets, dataviews, and analytics data flows.
• Strong SQL skills, including CTEs, window functions, joins, aggregations, and data reconciliation.
• Experience working with Databricks or similar cloud/lakehouse data platforms.
• Experience with clickstream, web behavioral, campaign, and conversion data.
• Strong understanding of data validation, reconciliation, QA, and troubleshooting.
• Experience building dashboards using Power BI, including data modeling and DAX.
• Ability to work independently, manage priorities, and operate effectively in an Agile environment.

• Adobe Analytics
• Adobe Target
• Databricks
• Braze
• Tableau
• A/B testing and experimentation platforms
• Python for data validation and automation
• Affiliate marketing and SEO analytics
• Multi-locale/international web analytics

• Adobe Experience Platform (AEP)
• Customer Journey Analytics (CJA)
• SQL

• Adobe Analytics
• Adobe Target
• Databricks