Job Description

The Opportunity

At Intellibright, analytics is not a reporting function. It is the operating system.

Our clients make real revenue decisions based on the data we deliver. Our strategists rely on it to set direction. Our executives trust it to scale the business.

As Senior Manager, Marketing Analytics & Data Engineering, you own the foundation that makes all of that possible.

This role sits at the center of how marketing, pipeline, and revenue data flow through the organization. You will design, build, and evolve the analytics infrastructure that connects marketing activity to real business outcomes at scale.

This is a role for someone who wants to build systems that last. You will think like an engineer, understand marketing deeply, and turn complex data environments into clear, trusted, decision ready insight.

If you care about accuracy, scalability, and impact and want your work to directly influence executive strategy and client retention, this role gives you that seat.

About Intellibright

Intellibright is a performance driven digital marketing agency built around accountability and close client partnerships. We believe that if something does not tie back to revenue, it does not matter.

Our proprietary revenue analytics connect marketing activity to pipeline, sales, and revenue across channels and platforms.

Recognized by Inc. 5000 and the Financial Times 500 as one of the fastest growing companies in the Americas five years running, Intellibright is a profitable, self funded agency headquartered in Austin, Texas.

Revenue Analytics at Intellibright powers executive decision making, client retention, and long term growth. It is not a support function. It is core to how we operate.

What You Will Own

• The evolution of Intellibright’s marketing and revenue analytics infrastructure, ensuring scalability, reliability, and clarity
• End to end ownership of the analytics and reporting ecosystem, including data integrity, pipelines, models, dashboards, and documentation
• Design and maintenance of data pipelines from ad platforms and CRMs into BigQuery
• Canonical data models that connect marketing events to pipeline, sales, and revenue
• Validation of data flows and transformations to ensure accuracy and consistency across systems
• Trusted source of truth for performance data across Paid Search, SEO, Paid and Organic Social, Display, Connected TV, Web, CRM, and offline conversions
• Delivery of modeled data into visualization tools that power executive dashboards and internal reporting
• Expansion of full funnel reporting frameworks that reinforce revenue accountability for clients and internal teams
• Partnership with the Chief Digital Officer and senior leaders to prioritize analytics and engineering initiatives
• Support of QBRs and strategic planning through trusted, defensible performance insight
• Evaluation and optimization of analytics tooling including GA4, Looker Studio, BigQuery, CRM integrations, and attribution frameworks
• Identification of opportunities to automate workflows, improve reliability, and reduce manual effort
• Establishment of documentation, standards, and best practices for analytics and data engineering

How You Work

• You treat data accuracy as non negotiable
• You design systems for scale, not one off answers
• You think in terms of decision making, not just reporting
• You understand real world measurement limitations and model accordingly
• You simplify complexity without oversimplifying truth

You take ownership of outcomes and build trust through consistency

Culture and Expectations

• Hybrid role with required in office presence Monday, Wednesday, and Friday
• Fast moving environment with high expectations and clear ownership
• Teams that value accuracy, accountability, and practical impact
• 16 plus years of profitable, self funded growth

Why This Role Matters

Every strategic recommendation, every client conversation, and every revenue decision at Intellibright depends on trusted data. This role is for someone who wants to build the infrastructure executives rely on, strategists trust, and clients believe in.

Requirements

• 6 to 9 years of experience in marketing analytics, data engineering, or performance intelligence
• Hands on experience building and maintaining data pipelines into BigQuery
• Deep understanding of marketing and revenue data across paid, organic, web, and CRM systems
• Strong fluency in Google Cloud Platform
• Experience with Fivetran, Zapier, Looker or Looker Studio, Cloudflare, and GitHub
• Ability to design and maintain scalable data models and transformations
• Strong understanding of attribution, funnel modeling, and measurement tradeoffs
• Ability to translate technical systems into clear business insight
• Comfort operating in a growing, evolving analytics environment
• Agency or multi client experience strongly preferred
  

Benefits

• Base Salary: $114,000 to $150,000 depending on experience
• 5 percent performance based bonus opportunity
• 100 percent company paid healthcare premiums including medical, dental, vision, and life
• 401(k) with 5 percent company match
• 28 days combined PTO and holidays plus two additional remote work weeks annually
  

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