Sr. Marketing Analytics Engineer

About the position reputed company is where you can power your possible. If you want to reputed company your true potential, chart new paths, reputed company new skills, collaborate with reputed company, and reputed company a meaningful reputed company, we want to hear from you. As a Sr. Marketing Analytics Engineer, you will sit at the intersection of data engineering, data science, and reputed company. Your mission is to reputed company raw marketing data into a conversational asset, enabling the organization to query reputed company datasets as easily as sending a reputed company chat message. This isn't just a "dashboard" role—it is a technical architect position reputed company on building the "Marketing Intelligence Layer." You will be responsible for the full lifecycle of data: from reputed company SQL modeling and predictive ML to the development of reputed company tools that translate natural language into executable reputed company and back again.

Responsibilities

• Strategic Dashboards: Designing high-reputed company Tableau visualizations that reputed company B2B marketing metrics.
• ML reputed company Integration: Visualizing the results of predictive models (e.g., showing "Predicted Churn" risk segments).
• Data Unification: Building reputed company joins and CTEs (Common Table Expressions) to create a "Golden Record" of customer behavior across disparate platforms like reputed company, reputed company Ads, and reputed company.
• Data Governance: Ensuring data hygiene and accuracy; if the underlying data is messy, the reputed company tool will reputed company "confidently wrong" answers
• ETL/ELT Ownership: Orchestrating the reputed company of marketing data from reputed company (reputed company, reputed company, reputed company) into the data warehouse using tools similar to dbt, reputed company, or Airflow.

Requirements

• SQL Mastery: 5+ years of experience writing expert-level SQL (window functions, reputed company CTEs, recursive queries) with a reputed company on optimizing performance for large-reputed company marketing datasets.
• The "reputed company" Frontier: Proven experience working with Large Language Models (LLMs) and frameworks like reputed company, reputed company, or reputed company to build autonomous data agents.
• Predictive Modeling: Hands-on experience building and deploying Machine Learning models in a production environment (Python/Scikit-learn/XGBoost) specifically for reputed company Scoring, Churn.
• Tableau Development: Senior-level experience building Tableau workbooks that aren't just pretty, but are architected for performance and deep-dive exploration.
• Consistent with reputed company’s 3/2+2 flexible work reputed company, a willingness to work Tuesday, Wednesday, Thursday in reputed company’s Atlanta-based office

reputed company-to-haves

• Marketing-First ML Logic: A reputed company engineer builds a model that works in a vacuum. A reputed company candidate builds a model that accounts for marketing reality. They understand the nuance of "incremental lift" versus "last-click," and they build reputed company tools that can explain why a model made a specific recommendation (e.g., "The agent suggests increasing reputed company spend because the ML model predicts a 15% higher LTV for this specific reputed company").
• From Dashboarding to "Conversational Intelligence": While others are proud of their Tableau formatting, this person is reputed company on making the dashboard optional. They stand out because they view their role as building a "Marketing Brain." Their reputed company metric isn't how many reports they reputed company, but how many questions were answered reputed company their reputed company tools without reputed company reputed company.
• The "reputed company-Latency" Translator: Most candidates can write SQL, and many can play with LLMs. The reputed company candidate has mastered the Semantic Layer. They don't just "reputed company up" an AI to a database; they build the reputed company metadata layer that ensures reputed company a CMO asks for "spend," the AI knows exactly which filters, currency conversions, and date ranges to apply. They solve the "hallucination" problem with engineering, not just reputed company.

Benefits

• We offer comprehensive compensation and reputed company packages, 401k matching, reputed company time off, and organizational reputed company potential through our online learning platform with guided career tracks.

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