Job Description
<h3>📋 Description</h3> • RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide.
• You will join an ambitious team of versatile data analysts who empower collaboration between ML experts and the technological leadership of our fast-growing company.
• You will help align large-scale deep learning solutions with our tactical and strategic objectives by developing analytical data structures, dashboards as well as both regular and ad-hoc analyses. <h3>🎯 Requirements</h3> • 2 - 5 years of experience in data engineering, data science, analytics, large-scale technical campaign management for e-commerce or on-line marketing.
• Exceptional critical thinking, sharp analytical acumen, and a logical mindset to solve complex challenges with precision.
• Proficiency in SQL and working with large datasets (ideally on Big Query).
• Understanding of AdTech or similar industry.
• Proficiency in a BI tool (Tableau or Looker preferred), readiness to own and deliver dashboard development as well as maintenance, experience with the tool caveats.
• Background in Computer Science, Statistics or a related field.
• Scripting or automation skills using Python or Google Cloud tools.
• Experience working in interdisciplinary teams involving engineers and business functions.
• Hands-on experience with statistics or machine learning.
• Programming experience (ideally Python), familiarity with Git repositories.
• Hands-on experience with cloud data management and analytics tools (ideally GCP tools such as Dataform, Colab Notebooks used at scale).
• Curiosity coupled with ability to stay focused and deliver high-quality outputs (refined tables, dashboards) in agreed timelines in spite of several interesting distractors. <h3>🏖️ Benefits</h3> • Competitive Compensation: We offer an attractive salary package with significant growth opportunities adequate to your impact.
• Large, meaningful datasets to work with.
• Modern Technology: Engage with modern Cloud (GCP) and on-prem technologies on large-scale.
• Wellbeing: extremely flexible conditions - contribute when it is convenient for you and devote as much time as you can; Remote-first environment.