**Location:** Hybrid – Central Office and Remote **Contract Type:** Permanent **Professional Challenge** Are you passionate about transforming data into effective marketing strategies and optimizing advertising and media campaigns using advanced analytics? Join our team to lead marketing data analysis, maximize advertising ROI, and contribute to strategic decision-making. We are seeking a curious, results-oriented, and innovative-minded individual capable of collaborating with diverse teams and delivering actionable insights in an agile, digitally advanced environment. **Responsibilities – Data Analysis for Marketing, Digital Advertising, and Media** ------------------------------------------------------------------------------------- * Analyze data from digital marketing campaigns, programmatic advertising, traditional media, and social media to uncover optimization and growth opportunities. * Develop reports and dashboards measuring key marketing KPIs such as ROI, CAC, CLV, engagement, and campaign performance. * Collaborate with marketing, content, creative, and media teams to design A/B experiments, test hypotheses, and validate learnings. * Build attribution models, audience segmentation frameworks, and customer clusters to enhance communication personalization and reach. * Optimize advertising spend using predictive analytics, machine learning, and trend forecasting. * Interpret results and present actionable insights to internal and external teams, tailoring language for both technical and business stakeholders. * Ensure marketing data quality, integrity, and protection to guarantee reliability in decision-making. * Actively participate in implementing new technologies, methodologies, and analytical tools for marketing and advertising. ### **Requirements – Digital Analytics, Media Metrics, and Marketing Data Science** * University degree in Statistics, Mathematics, Engineering, Marketing, Advertising, Economics, or related fields. * Minimum 2 years of experience in roles such as Data Analyst, Digital Analyst, Marketing Analyst, or similar within marketing and media environments. * Advanced proficiency in data analysis, digital advertising metrics, performance marketing, and media analytics. * Expert-level command of tools including Google Analytics, Google Ads, Meta Ads Manager, DV360, DMP/CDP platforms, and advertising campaign management systems. * Strong knowledge of SQL, advanced Excel, and data analysis programming languages such as Python, R, or similar. * Experience building dashboards (Power BI, Tableau, Google Data Studio, Looker), automating reports, and visualizing data. * Ability to manage end-to-end projects and work concurrently with cross-functional teams. * Intermediate to advanced English proficiency for interpreting global insights and communicating with international teams. #### **Key Tasks – Campaign Optimization, Reporting, and Predictive Analysis** * Measure, evaluate, and report on online and offline campaign performance through large-scale data analysis. * Propose improvements in campaign segmentation, targeting, and personalization, including product launches. * Implement cohort analysis, attribution studies, and multivariate testing to validate marketing strategies. * Collaborate on automating reporting processes and updating performance dashboards. * Identify market trends, anticipate campaign outcomes, and drive innovation across utilized media channels. ##### **Profile – Analytical Thinking, Effective Communication, and Marketing Innovation** * Goal-oriented analytical thinking and creative problem-solving for business challenges. * Assertive communication skills and the ability to explain complex analyses to non-technical audiences. * Openness to innovation, continuous learning, and adaptability to evolving marketing channels and technologies. * Team collaboration, interdisciplinary cooperation, and deep respect for diversity and inclusion. * Commitment to excellence and ethics, ensuring confidentiality and protection of handled data. ###### **Advantages and Benefits – Career Growth, Flexibility, and Development in Marketing Data Science** * Competitive salary and incentive schemes tied to achieved marketing and media goals. * Ongoing training in data analytics, artificial intelligence, and digital marketing trends. * Hybrid work environment with flexible working hours and remote work options. * Participation in innovative campaigns and projects with tangible impact on company growth. * Opportunities for career advancement, recognition, and global challenges within a leading digital transformation company.