Marketing Analytics Manager

oldcastlebuildingenvelope Open · verified Aug 21, 2026

Dallas Full-time Manager Marketing Analytics

Mid-level Marketing Analytics role at oldcastlebuildingenvelope. Dallas · full-time.

Role brief

Growth Roles summary, based on the employer's posting.

What you'll do

Set KPIs, measurement plans, and priorities across CRL.com, Online Programs/CPQ, USH, and OBE.com
Turn multi-source data into executive reports, dashboards, and clear recommendations on performance and customer behavior
Guide Snowflake data centralization, pipeline delivery, quality checks, and reporting automation with data engineering
Govern analytics definitions and use attribution, funnel, and lifecycle analysis to guide budgets and improvements
Lead the function while managing an analyst and advising marketing, digital product, ecommerce, and finance leaders

What you bring

Bring five to eight-plus years in marketing analytics, digital analytics, or a related field
Use GA4, Google Tag Manager, marketing automation, and personalization tools in hands-on analytics work
Work with Google Ads, Microsoft Ads, voice-of-customer or NPS tools, Snowflake or similar, and SQL
Show advanced SQL ability, executive reporting experience, and comfort presenting to senior stakeholders
Translate technical findings clearly and collaborate with data engineering on pipelines

Who this fits

You’ll thrive here if you connect analytics work to business outcomes and can explain technical findings to nontechnical audiences. The role is based in Dallas, manages an analyst, and works closely with marketing, digital product, ecommerce, finance, and data engineering. B2B, ecommerce, or product-driven experience is preferred.

From the employer

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 methodologies

What OBE Offers You

Benefits that benefit you – industry competitive benefits at the lowest cost to the employee
Work-life balance – PTO and holidays, including floating holidays you can choose
Compensation that rewards your hard work – A pay-for-performance culture with potential for annual raises and bonuses
Training – We will equip you with the knowledge and skills you need to succeed

OBE Privacy Policy

OBE will not discharge or discriminate against employees or applicants for discussing, disclosing, or inquiring about their own or others' pay.