Position: MarTech Analytics Analyst
Location: Open to remote
Duration: 3+ Months with possibility of extension
A contract MarTech Analytics Analyst to join the Analytics Platform & Enablement organization at client. In this role you will support the migration and rebuild of existing Adobe Analytics reports into Customer Journey Analytics (CJA), build and validate clickstream-based reporting for marketing technology workstreams, and help standardize repeatable data validation patterns across MarTech reporting pipelines.
This is a hands-on execution role. You will work alongside a senior web analytics lead who owns the MarTech analytics workstream end-to-end. Your primary focus will be taking on the high-volume validation, dashboard migration, and QA work that currently bottlenecks that workstream — freeing capacity for architecture decisions, stakeholder engagement, and new capability buildout. You will not be expected to define strategy or own stakeholder relationships, but you will need to operate independently once given clear requirements.
This position reports to the Leader of Analytics Platform & Enablement and works within the Customer Profile & Identity (CPI) sub-team.
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About the Role
MarTech Reporting & Migrations
- Migrate and rebuild existing Adobe Analytics (AA) reports and dashboards into Customer Journey Analytics (CJA) — translating AA segments, calculated metrics, and workspace projects into CJA dataviews and Analysis Workspace equivalents
- Build and maintain clickstream-based reports using Adobe Analytics and CJA — supporting web traffic attribution, landing page performance, cart conversion analysis, and campaign measurement across 40+ locale-language combinations
- Support XDM schema review and dataview configuration in CJA — validating that migrated dimensions and metrics produce consistent results between AA and CJA
- Create and maintain pre/post comparison dashboards for site migrations and feature rollouts — following a wave-based rollout methodology across international locales with baseline measurement, UAT validation, and post-launch monitoring
- Build reporting dashboards for Braze email campaigns, landing page templates, and MarTech experiments — including IP warming tracking, A/B test result visualization, and end-to-end campaign performance reporting. Build these dashboards in Power BI with scheduled data refresh from Databricks
- Support power user training and internal enablement by documenting CJA dataview logic, creating report templates, and producing reference guides for self-service reporting by marketing and product stakeholders
- Assist with A/B test dashboard setups for Cro-Metrics and other experimentation platforms — configuring analytics tracking, validating event firing, and building result summaries
Data Validation & QA
- Perform end-to-end data validation between Databricks analytical tables and front-end dashboards — confirming that aggregated clickstream data, sub-channel definitions, and campaign metrics match across layers
- Execute pre/post migration validation checks when reports move from AA to CJA or when underlying data pipelines change — documenting discrepancies and working with the analytics lead to resolve them
- Validate clickstream Silver-layer tables in Databricks against Adobe Analytics source data — checking row counts, metric totals, dimension cardinality, and sub-channel classification accuracy
- Help standardize repeatable validation patterns for MarTech reporting — creating reusable SQL validation queries, building comparison templates, and documenting expected thresholds and tolerance ranges
- Validate Braze campaign data ingestion pipelines — confirming that email send, open, click, and conversion events flow correctly from Braze into Databricks and downstream reporting
- 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
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