Senior Digital Analytics Manager - BI & Research
Posted Updated
To ensure you’re set up for success, you will bring the following skillset & experience:
- Deep hands-on experience with Adobe Analytics — solution design, tagging architecture, governance, and analysis. Ability to assess and direct implementation work, not just execute it.
- Working knowledge of the broader Adobe Experience Cloud: Launch/Tags, Adobe Experience Platform (AEP), and Customer Journey Analytics (CJA).
- SQL proficiency — you write queries to validate data, build datasets, and answer business questions directly. Warehouse experience required; Snowflake strongly preferred.
- Python experience applied to analytics workflows — data wrangling, pipeline validation, or automation. You don't need to be a data engineer, but you need to work comfortably outside point-and-click tools.
- Experience with Salesforce and connecting web behavior to CRM data.
- Proven campaign tracking and attribution experience: ownership of UTM/query-string conventions, governance, and multi-touch attribution logic.
- Demonstrated ability to define KPIs from scratch and tie them to pipeline and revenue outcomes.
- Track record of cross-functional work across marketing, ops, and data teams.
What Success Looks Like (First 6–12 Months) - Adobe Analytics implementation work steered to produce a well-governed platform teams trust — with clear standards, owned taxonomy, and QA that doesn't depend on the external partner.
- A documented web → warehouse data architecture with known gaps prioritized and sequenced.
- Attribution logic that connects web behavior to CRM and pipeline — one source of truth adopted across digital, demand, and revenue marketing.
- A defined measurement framework that accounts for AI search and zero-click discovery.
- Clear, revenue-linked KPIs in use by digital, demand, and revenue marketing stakeholders.