Analytics Engineer – Marketing, Growth

AP Recruiters & Associates

. Develop and optimize scalable data models in dbt (SQL) within the Snowflake cloud data warehouse .

Posted 11/3/2026full-timeVienna • AustriaJuniorMid-Level💰 €75,000 - €90,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing data models using dbt and SQL within Snowflake, while providing strategic insights for marketing analytics. Proficient in Python for data analysis and experienced in performance marketing metrics such as CAC and ROAS.

Highest-signal resume keywords

SQL Data ModelingDbt DevelopmentPython Data AnalysisPerformance Marketing KnowledgeVersion Control with Git

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData ModelingPythonMarketing Mix ModelingA/B TestingIncrementality MeasurementData AnalysisStatistical AnalysisUserTraits AnalysisEvent Stream Analysis

Soft Skills

OwnershipContext SwitchingCollaborationStrategic InputCommunication

Tools & Technologies

SnowflakeDbtGitRobynMeridianLLMsGenAI

Industry Keywords

E-commerceMarketplaceScale-upAgencyPerformance Marketing

Tech Stack

Tools & technologies

CloudPythonSnowflakeSQLSwitching

About the role

Key responsibilities & impact

Develop and optimize scalable data models in dbt (SQL) within the Snowflake cloud data warehouse
Build a single source of truth for marketing and business analytics
Implement and further develop marketing mix modeling, using tools such as Robyn or Meridian
Plan and evaluate campaign experiments, A/B tests, and incrementality measurements in Python
Analyze and model click and lead data in UserTraits
Collaborate with analytics and tagging specialists on event streams and data pipelines
Create easy-to-understand templates and data marts for marketing colleagues
Enable the Marketing team to use data independently
Provide management-level sparring and strategic input as the marketing strategy is realigned

Requirements

What you’ll need

At least 2–4 years of professional experience as an Analytics Engineer, (Marketing) Data Analyst, or Data Scientist
Ideally, experience in e-commerce, marketplace, scale-up, or agency environments
Excellent SQL skills, particularly in data modeling within a data warehouse
Hands-on experience with dbt and Git (version control)
Strong practical experience using Python for data analysis, statistical analysis, and working with MMM scripts
Solid domain knowledge of performance marketing, including CAC, ROAS, and incrementality
Basic understanding of tagging and tracking systems
A greenfield mindset, a high degree of ownership, and the ability to thrive on context switching
Skilled use of modern tools such as LLMs and GenAI
Fluent German or English

Benefits

Comp & perks

Hybrid working (home office / office in Vienna)
Flexible working hours
Public transportation allowance
Meal allowance
Professional development allowance
Motivated, agile team
Permanent employment contract