taboola · Budapest, Hungary
Skills: Python, SQL
Realize your potential by joining the leading performance-driven advertising company and a proud Great Place to Work® Certified employer in Hungary! As an Senior Data Analyst – Advertising Optimization on the Dynamic Ads team in our Budapest office, you’ll play a vital role in driving the performance of our customers’ campaigns through data-driven analysis and hands-on optimization.You will turn data into actionable insights, identify opportunities for improvement, and drive measurable impact through a deep analytical and problem-solving approach.You’ll work closely with cross-functional teams to ensure continuous improvement of performance, while applying analytical thinking and experimentation to optimize results. To thrive in this role, you'll need: 5+ years of experience as a Data Analyst, Product Analyst or similar role, preferably in a tech company Advanced SQL for querying and analyzing large datasets Solid experience designing and analyzing A/B tests, with a strong grasp of statistics Experience with BI and visualization tools (e.g. Tableau, Looker, Power BI) A proven track record of leading analyses end to end, from defining the question to driving the decision The ability to influence Product, R&D and business stakeholders with data Fluency in English Bonus points if you have: Python or R for data analysis Experience in ad-tech, digital advertising, performance marketing or e-commerce A university degree in a technical or quantitative field Experience using AI tools for analytics and optimization How you’ll make an impact: Own the analytics behind dynamic campaign performance: define the key metrics, uncover what drives results, and turn it into optimization strategy Design and run A/B tests and experiments, and set the standard for how the team tests and measures impact Partner with Product and R&D to turn insights into product improvements that scale across campaigns Drive hands-on optimization of bids, targeting and creatives, and measure the impact on…
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