Customer Journey Analytics Consultant

🕒 May 18

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Brillio

WebsiteLinkedInAll 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.

📋 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 • Python scripting for data validation or automation tasks