Customer Journey Analytics Consultant

Brillio

Consultant specializing in Customer Journey Analytics and Adobe Analytics deployments and data quality verification. Analyze data flows and support marketing teams with insights.

Posted 5/18/2026full-timeBangalore • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Perform UAT verification for new analytics deployments — testing event firing in Adobe Analytics (e.g., e-commerce events, custom events), verifying data collection accuracy, and signing off on launch readiness
Investigate and document data quality issues — tracing discrepancies through multiple data layers (Adobe Analytics → AEP → Databricks → Dashboard) and producing clear write-ups of root cause and resolution
Contribute to weekly web metrics review — pulling standard metrics, flagging anomalies, and preparing summary materials for the analytics lead
Support ad-hoc analysis requests from the MarTech and marketing teams — pulling data from Adobe Analytics, CJA, or Databricks to answer time-sensitive questions
Maintain sub-channel and channel definition documentation — updating classification logic as new traffic sources or campaign types are introduced

Requirements

What you’ll need

You have 5+ years of experience in web analytics, digital analytics, or marketing analytics
You have demonstrated expertise in Adobe Analytics — including Report Suites, Analysis Workspace, segments, calculated metrics, classification rules, and Processing Rules. This is a core requirement for the role. Experience with Customer Journey Analytics (CJA) is strongly preferred
You have working knowledge of Adobe Experience Platform (AEP) concepts — XDM schemas, datasets, and dataviews. You do not need to be an AEP architect, but you should understand how data flows from collection to reporting
You can write SQL at an intermediate-to-advanced level — including CTEs, window functions, and aggregations — and have experience querying data in Databricks or a similar lakehouse platform
You have experience with data validation and reconciliation — comparing metrics across source systems, identifying discrepancies, and documenting what you find clearly enough for others to act on
You have experience building dashboards and reports in Power BI — including data modeling, DAX measures, and scheduled refresh. Additional experience with CJA Analysis Workspace or Tableau is a plus
You are comfortable working with clickstream / web behavioral data — page views, visits, events, conversion funnels, and traffic attribution
You are detail-oriented and methodical — validation and QA work requires someone who catches inconsistencies others miss and documents their findings systematically
You can work independently once given clear requirements — you do not need daily direction but will proactively flag blockers and ask clarifying questions when specifications are ambiguous
You have experience working in agile environments — managing tasks across 2-week sprints, estimating effort in story points, and communicating progress through Jira
Nice to Have:
Experience with Braze or other email/push marketing platforms and their analytics integrations
Experience with A/B testing platforms (Cro-Metrics, Adobe Target, Optimizely) and statistical test interpretation
Familiarity with affiliate marketing tracking (Impact Radius or similar) and SEO/organic traffic attribution
Experience with international / multi-locale web analytics — understanding how locale, language, and geo impact reporting logic
Python scripting for data validation or automation tasks

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Brillio Website LinkedIn All Job Openings 1001 - 5000 employees 🤖 Artificial Intelligence 🔒 Cybersecurity 💰 Private Equity Round on 2019-01 Artificial Intelligence
Consulting
Cybersecurity Brillio is a technology consulting company that specializes in driving digital transformation for businesses across various industries such as banking, financial services, insurance, life sciences, telecom and media, healthcare, and retail. They focus on customer experience transformation, data and AI, product and platform engineering, and provide infrastructure, cloud, and security solutions. With an emphasis on engineering digital products and leveraging generative AI, Brillio aims to provide bespoke solutions that help businesses thrive in the age of AI and technological disruption. They also offer services to help businesses adapt to new technological challenges and turn disruptions into competitive advantages. Customer Journey Analytics Consultant 🔥 31 minutes ago 🏢🏡 Bangalore – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 💼 Consultant Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Perform UAT verification for new analytics deployments — testing event firing in Adobe Analytics (e.g., e-commerce events, custom events), verifying data collection accuracy, and signing off on launch readiness
Investigate and document data quality issues — tracing discrepancies through multiple data layers (Adobe Analytics → AEP → Databricks → Dashboard) and producing clear write-ups of root cause and resolution
Contribute to weekly web metrics review — pulling standard metrics, flagging anomalies, and preparing summary materials for the analytics lead
Support ad-hoc analysis requests from the MarTech and marketing teams — pulling data from Adobe Analytics, CJA, or Databricks to answer time-sensitive questions
Maintain sub-channel and channel definition documentation — updating classification logic as new traffic sources or campaign types are introduced 🎯 Requirements
You have 5+ years of experience in web analytics, digital analytics, or marketing analytics
You have demonstrated expertise in Adobe Analytics — including Report Suites, Analysis Workspace, segments, calculated metrics, classification rules, and Processing Rules. This is a core requirement for the role. Experience with Customer Journey Analytics (CJA) is strongly preferred
You have working knowledge of Adobe Experience Platform (AEP) concepts — XDM schemas, datasets, and dataviews. You do not need to be an AEP architect, but you should understand how data flows from collection to reporting
You can write SQL at an intermediate-to-advanced level — including CTEs, window functions, and aggregations — and have experience querying data in Databricks or a similar lakehouse platform
You have experience with data validation and reconciliation — comparing metrics across source systems, identifying discrepancies, and documenting what you find clearly enough for others to act on
You have experience building dashboards and reports in Power BI — including data modeling, DAX measures, and scheduled refresh. Additional experience with CJA Analysis Workspace or Tableau is a plus
You are comfortable working with clickstream / web behavioral data — page views, visits, events, conversion funnels, and traffic attribution
You are detail-oriented and methodical — validation and QA work requires someone who catches inconsistencies others miss and documents their findings systematically
You can work independently once given clear requirements — you do not need daily direction but will proactively flag blockers and ask clarifying questions when specifications are ambiguous
You have experience working in agile environments — managing tasks across 2-week sprints, estimating effort in story points, and communicating progress through Jira
Nice to Have:
Experience with Braze or other email/push marketing platforms and their analytics integrations
Experience with A/B testing platforms (Cro-Metrics, Adobe Target, Optimizely) and statistical test interpretation
Familiarity with affiliate marketing tracking (Impact Radius or similar) and SEO/organic traffic attribution
Experience with international / multi-locale web analytics — understanding how locale, language, and geo impact reporting logic
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Hard Skills & Tools

Adobe AnalyticsCustomer Journey AnalyticsAdobe Experience PlatformSQLDatabricksPower BIDAXA/B testingPythondata validation

Soft Skills

detail-orientedmethodicalindependentproactivecommunicationproblem-solvinganalytical thinkingdocumentationcollaborationtime management