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Weekday AI

Proactive software engineer recruitment via referrals

Adobe Experience Platform Developer

Business IntelligenceConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • At least 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.
  • A solid understanding of XDM schemas, datasets, dataviews, and analytics data flows.
  • Strong SQL skills, including common table expressions (CTEs), window functions, joins, aggregations, and data reconciliation.
  • Experience working with Databricks or similar cloud or lakehouse data platforms.
  • Experience with clickstream, web behavioral, campaign, and conversion data.
  • A strong understanding of data validation, reconciliation, quality assurance, 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.

Responsibilities

  • Develop and maintain analytics solutions using Adobe Experience Platform and Customer Journey Analytics.
  • Support migration of existing Adobe Analytics reports, dashboards, segments, and calculated metrics into Customer Journey Analytics.
  • Configure and validate XDM schemas, datasets, dataviews, dimensions, metrics, and calculated measures.
  • Build Customer Journey Analytics Analysis Workspace projects and reporting solutions for web, marketing, and customer journey analytics.
  • Ensure consistency and accuracy between legacy Adobe Analytics reporting and Customer Journey Analytics 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 Adobe Experience Platform, Databricks, Customer Journey Analytics, 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 quality assurance processes.
  • Support user acceptance testing and post-deployment validation for analytics implementations.
  • Build and maintain dashboards and reports using Customer Journey Analytics 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 Adobe Experience Platform schemas, datasets, Customer Journey Analytics 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.

Desired Qualifications

  • Experience with Adobe Analytics.
  • Experience with Adobe Target.
  • Experience with Databricks.
  • Experience with Braze.
  • Experience with Tableau.
  • Experience with A/B testing and experimentation platforms.
  • Experience using Python for data validation and automation.
  • Experience with affiliate marketing and SEO analytics.
  • Experience with multi-locale or international web analytics.

About the Company

Weekday AI

Proactive software engineer recruitment via referrals

Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.

Company size
201-500
Company stage
Seed
Total funding
$2.3M
Headquarters
Bengaluru, India
Founded
2021

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