Job Description

Primary Skills

• Adobe Analytics

Job requirements

• • 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 Operational Support • 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 About You • 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