This role is for one of our clients
Industry: IT Services and IT Consulting
Seniority level: Mid-Senior level
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
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
