Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Mid-level generalist data role, common skills and 3+ years experience yield high applicant competition.
Core data skills transferable, but ad-tech and ad delivery domain knowledge raise fit sensitivity to medium.
Explicit 3+ years requirement plus mandatory SQL, BI and warehouse experience increases strictness.
Analyze large-scale multi-source datasets to extract actionable business insights impacting product, engineering, and operational strategies.
Design, monitor, and maintain KPIs for ad delivery, bidding, and monetization, actively influencing strategic decision-making across teams.
Develop and maintain dashboards, automated reports, and data pipelines ensuring accuracy and accessibility of data for real-time and long-term analysis.
Bachelor's degree in Industrial Engineering and Management, Information Systems Engineering, Economics, Statistics, Mathematics, or similar.
Minimum 3 years of experience in Data Analysis within Marketing, Business, or Product domains.
High proficiency in SQL and experience with BI visualization tools (Qlik Sense, Sisense, Tableau, Looker, etc.).
Experience working with data warehouse or data lake technologies such as Athena, Redshift, Snowflake, or BigQuery; fluent in English required.
Experienced in handling complex ad-tech datasets and driving KPI-based performance optimization in advertising or related industries.
Strong collaborator who influences cross-functional teams including product, engineering, and operations with data-driven insights.
Comfortable building and maintaining automated data pipelines and dashboards supporting both real-time decision making and strategic analysis.