Marketing Analytics Manager
Oldcastle BuildingEnvelope
| Company | Oldcastle BuildingEnvelope |
| Category | Data & Analytics |
| Location | Dallas |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 29 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Come Join Us!
From apartments in New York to hospitals and stadiums in Dallas, libraries at prestigious universities to creating modern retail experiences, our teams contribute architectural glass and building products to projects that shape the way people live, work, heal, learn, and play. At OBE, the work of our employees truly matters. With over 6,500 employees, we operate more than 80 manufacturing and distribution facilities in five countries. You can see some of our favorite projects here .
Start your journey with OBE and help us build the future.
About the Role
Oldcastle BuildingEnvelope (OBE) is seeking a Marketing Analytics Manager to lead the development of a modern, data-driven analytics function supporting CRL’s digital commerce business.
This is a high-impact, highly visible role sitting at the intersection of marketing strategy, data engineering, and digital commerce performance . You will own the end-to-end analytics framework across key ecommerce properties (CRL.com, Online Programs/CPQ, USH, and OBE.com), transforming data from a complex marketing technology stack into actionable insights that drive business decisions.
This role manages one Marketing Analytics Analyst and partners closely with data engineering to centralize and scale data in Snowflake.
Key Responsibilities
Strategy & Leadership
Own and evolve the marketing and ecommerce analytics framework—defining KPIs, measurement strategy, and prioritization
Act as the primary analytics partner to Marketing, Digital Product, eCommerce, and Finance leadership
Partner with stakeholders to align analytics with business objectives and growth initiatives
Reporting & Insights
Own and deliver the end-to-end Marketing reporting package for executive stakeholders (VP and C-level)
Translate complex, multi-source data into clear, actionable insights and narratives
Build and maintain executive dashboards across:
Commercial performance
Channel effectiveness
Site engagement
Customer behavior and attribution
Data Infrastructure & Automation
Lead the roadmap to centralize marketing data into Snowflake, defining requirements and data specifications
Partner with data engineering to build, QA, and scale data pipelines
Prioritize and automate manual reporting processes based on business impact
Govern the marketing analytics data layer, including definitions, rules, cadence, and documentation
Channel & Customer Performance
Drive attribution modeling (first-touch, last-touch, multi-touch) and inform budget allocation
Identify conversion friction across digital funnels (CRL.com, CPQ, USH) and recommend improvements
Monitor and analyze customer lifecycle metrics, including churn, CAC, LTV, and retention
Required Tools & Experience
Candidates must have hands-on experience with the following tools:
Google Analytics 4 (GA4)
Google Tag Manager
Marketing automation platform (e.g., Braze)
Personalization tools (e.g., Dynamic Yield)
Google Ads & Microsoft Ads
Voice of customer / NPS tools (e.g., Qualtrics)
Snowflake or similar cloud data warehouse
SQL
Qualifications
Experience
5–8+ years in marketing analytics, digital analytics, or a related field
Experience managing or mentoring analysts
Background in B2B, ecommerce, or product-driven environments preferred
Proven ability to build executive-level reporting and present to senior stakeholders
Experience collaborating with data engineering teams to develop data pipelines
Skills & Competencies
Strong strategic mindset with the ability to connect analytics to business outcomes
Advanced SQL skills and experience working within Snowflake or similar environments
Excellent communication skills; able to translate technical insights for non-technical audiences
Strong prioritization and stakeholder management skills
Familiarity with attribution modeling methodolo
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