Associate Director of Analytics

Associate Director of Marketing Analytics

Role Overview

As the Associate Director of Analytics, you will collaborate with teams across 6 brands to track and manage marketing attribution across all marketing channels, utilizing those insights to translate growth strategies into actions that drive enhanced marketing performance. This individual will also lead the technical orchestration of our lead-to-revenue lifecycle, integrating high-intent signals with automated sales execution.

By mastering Salesforce reporting, lead segmentation & orchestration, and account-based marketing efforts, you will define the logic used to identify, score, and prioritize high-value targets. In addition, you will optimize our conversational AI efforts to help build more lead opportunities and utilize Salesforce insights to build transparent attribution models, ensuring our Go-to-Market teams are powered by high-intent, actionable data.

Key Responsibilities

1. Website CRO & Performance Consulting

* Strategic Advisory:
Serve as the lead internal consultant for our brand portfolio to optimize corporate website performance and conversion paths.

* Conversion Rate Optimization (CRO):
Execute A/B testing, heat mapping, and user journey analysis to improve site-to-lead conversion rates.

* Funnel Optimization:
Identify friction points in the digital experience and collaborate with web and creative teams to implement high-impact UX/UI changes.

* Performance Benchmarking:
Establish standardized KPIs for web performance across the portfolio to ensure all brands are meeting growth targets.

* Web Intelligence:
Use Google Analytics (GA4) to map the anonymous visitor journey to known accounts in our CRM, providing a clear picture of multi-touch attribution.

2. Multi-Brand Attribution & Growth Strategy

* Cross-Brand Tracking:
Design and maintain a unified attribution framework to track performance across 6 brands, ensuring consistency in data collection and reporting. Build Salesforce reports and dashboards that track account penetration, pipeline velocity, and campaign ROI.

* Model Management:
Define and manage multi-touch attribution models (First Touch, Last Touch, Linear, or U-Shaped) to evaluate the effectiveness of marketing spend.

* Strategic Translation:
Transform attribution data into actionable growth strategies, advising sales teams on how to shift resources to higher-performing channels.

3. ABM & Intent Modeling

* Define the Ideal Customer Profile (ICP):
Build and refine data-driven ICP models to identify high-fit accounts.

* Intent Orchestration:
Manage ABM platforms to capture 1st and 3rd-party intent signals.

* Predictive Modeling:
Develop "Propensity to Buy" models that trigger automated sales plays based on web activity and firmographic changes.

4. Data Orchestration & Hygiene

* Lead List Management:
Own the creation, enrichment, and suppression of lead lists to ensure sales reps never touch a duplicate or "junk" record.

* Routing Logic:
Maintain the "plumbing" between marketing automation and Salesforce to ensure leads are routed to the right owner at the right time.

Technical Skills & Requirements

* CRM Power User/Admin level (ie Salesforce). Deep expertise in custom reporting, lead objects, and campaign influence.

* ABM

Experience with operating integrated ABM solutions; specifically defining "In-Market" stages.

* Lead list building data tools with mastery for deduplication, normalization, and list suppression.

* Google Analytics (GA4) expert; experience with A/B testing tools and heat mapping.

* Data Strategy Ability to build intent-based scoring models and manage multi-brand attribution logic.

The Ideal Candidate

You are a rare breed: part Data Scientist, part Marketing Strategist, and part Systems Engineer. You don't just pull reports; you build the systems that make the reports look good. You understand that in B2B SaaS, the winner isn't the one with the most leads, but the one who engages the right accounts at the right time.

Qualifications

* Experience:

Minimum of 5+ years of relevant experience in Revenue Operations, Marketing Analytics, or Sales Operations, ideally within a B2B SaaS environment.

* Leadership:
Proven track record…