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adjoe

Senior Data Analyst (f/m/d)

Hamburg Remote Senior $4.7k–$12.8k/moest.

Summary

adjoe is seeking a Senior Data Analyst to contribute to high-impact projects by bridging business ideas with technical solutions. The role involves building reliable data pipelines, ensuring data quality, and providing data-driven recommendations to drive operational improvements and business strategies.

What you'll do

  • Contribute to high-impact projects and tackle complex data problems alongside the team
  • Help build reliable data pipelines using tools like dbt and Airflow to create clean, automated data layers
  • Design and manage scalable data collection and validation processes with systematic cleansing and monitoring
  • Apply statistical techniques and data mining methods to extract insights from structured and unstructured data
  • Create clear visualizations, dashboards, and reports to communicate findings to stakeholders
  • Work with cross-functional teams to understand requirements and provide analytical support
  • Present data-driven recommendations to drive operational improvements and optimize processes
  • Evaluate SDK-side experiments and A/B tests to support feature rollouts
  • Ensure data integrity, security, and regulatory compliance
  • Stay updated with latest tools, techniques, and industry trends in data analytics

Requirements

  • Experience: 5+ years in data analysis or related fields with demonstrated progression; AdTech ecosystem experience highly preferred; proven mentorship experience with junior and mid-level analysts
  • Education: Bachelor's or Master's degree in Computer Science, Data Science, Informatics, or related discipline with strong mathematics foundation
  • Advanced SQL: Mastery of Window Functions, CTEs, and nested JSON/Map types; expert optimization of heavy Trino (Athena) operations for 5TB+ daily data volumes
  • Statistical Knowledge: Advanced statistical concepts for modeling and forecasting; Python proficiency for A/B test evaluation (Power Analysis, P-values, Bayesian methods)
  • Complex Data Manipulation: Python expertise for memory-efficient data transformation and scalable analytics pipelines
  • Domain Expertise: Track record of identifying business blind spots and independently executing projects that improve efficiency or revenue in AdTech
  • Communication Skills: Strong presentation and storytelling abilities for complex technical findings
  • Analytics Engineering (Big Plus): Experience with dbt or similar tools and Airflow or similar automation tools

Conditions

  • Schedule: Hybrid setup with 3 core office days and flexible working hours
  • Vacation: 30 vacation days and 3 weeks of remote work per year
  • Benefits: Regular feedback and development program support; visa sponsorship and relocation support; in-house gym with fitness classes; mental health support through Employee Assistance Program (EAP); free snacks and drinks
  • Work Environment: Central office with Alster lake view, top-notch equipment, and fun open spaces; regular team and company events including hackathons and social gatherings

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