Staff Analyst

adjoe

. Build and maintain internal dashboards, alerting systems, and data pipelines monitoring the user funnel, traffic engagement, and reward consistency .

Posted 10/9/2026full-timeHamburg • GermanyLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in SQL and Python for data analysis and anomaly detection within the AdTech domain, while effectively driving cross-functional collaboration and establishing technical standards.

Highest-signal resume keywords

SQL MasteryPython ProficiencyAnomaly Detection FrameworksAdTech Data Stack ExpertiseAirflow Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisAnomaly DetectionData Quality MonitoringData Pipeline OrchestrationReal-Time VisualizationClustering AnalysisDistribution AnalysisCross-Population ComparisonAutomated MonitoringReusable Analytics Modules

Soft Skills

Cross-Functional AlignmentStrategic AdvisingTechnical Guidance

Tools & Technologies

TableauAirflowDbtData Lake ArchitectureAPI Integrations

Industry Keywords

AdTechData TelemetryEvent PipelinesTracking SpecificationsBiddingConversion Events

Tech Stack

Tools & technologies

AirflowPythonSQLTableau

About the role

Key responsibilities & impact

Build and maintain internal dashboards, alerting systems, and data pipelines monitoring the user funnel, traffic engagement, and reward consistency
Investigate and analyze multi-terabyte ad impression, bidding, and conversion event streams
Conduct deep-dive data analyses using SQL, Python, and Trino
Create real-time product performance visualizations using Tableau
Orchestrate and maintain data pipelines with Airflow
Build anomaly detection frameworks to identify data drift, tracking drops, and discrepancies
Evaluate the full AdTech data stack, including tracking specifications, API integrations, data lake architecture, and event pipelines
Guide engineering on infrastructure improvements and technical tradeoffs
Establish technical standards and build automated data quality monitoring systems
Develop reusable analytics modules
Drive alignment across engineering, product, and commercial stakeholders
Advise on strategies for ad tools and operations

Requirements

What you’ll need

7+ years as a Data Analyst or Analytics Lead in the AdTech domain
Mastery of SQL and Python for processing multi-terabyte ad impression, bidding, and conversion event streams
Extensive experience building anomaly detection frameworks using clustering, distribution analysis, and cross-population comparison
Technical understanding of the full AdTech data stack, including tracking specifications, API integrations, data lake architecture, and event pipelines
Ability to evaluate technical tradeoffs and guide engineering on infrastructure improvements
Experience establishing team-wide technical standards
Experience building production-grade data quality suites, automated monitoring pipelines, and reusable analytics modules
Hands-on experience with dbt and Airflow required
Ability to drive cross-functional alignment between engineering, product, and commercial stakeholders
Ability to turn complex data telemetry into clear strategies
Willingness or ability to work on site in Hamburg three days per week

Benefits

Comp & perks

Relocation support to Hamburg, Germany
Opportunity to own projects impacting 770M users
Diverse, global team representing over 40 countries
Opportunities for growth and learning from colleagues
Fast-paced environment with frequent solution delivery
Collaborative and cross-functional work environment