The mission of the Marketing Data Analyst is to transform marketing and business data into actionable insights that drive growth, optimize campaigns, and support strategic decision-making This role ensures that all marketing initiatives are guided by accurate, timely, and well-analyzed data, while building scalable reporting systems and dashboards that enhance efficiency and enable data-driven decisions across the marketing organizationResponsibilitiesDeliver regular and ad-hoc reports on marketing performance, translating complex data into clear, actionable insights for stakeholdersDevelop, maintain, and optimize dashboards and reports tracking key marketing KPIsWrite and maintain SQL queries and perform advanced data analysis using Python (pandas, NumPy, scikit-learn) to support marketing initiativesBuild and maintain automated workflows and analytical tools to improve reporting efficiency and scalabilitySupport A/B testing and CRO initiatives, defining success metrics, analyzing results, and providing recommendationsMonitor marketing KPIs, identifying trends, anomalies, risks, and opportunities to optimize campaigns and marketing strategiesCollaborate with cross-functional teams (Product, Commercial, Finance) to align on goals, data requirements, and reporting needsEnsure data accuracy, consistency, and proper documentation of marketing metrics and workflowsManage multiple requests and priorities, assessing costs, benefits, and impact to focus on high-value initiativesCommunicate insights and recommendations effectively to marketing leadership and stakeholdersRequirementsStrong problem-solving and analytical abilities with attention to data accuracy, consistency, and documentationPython expertise with hands-on experience in data analysis, cleaning, and explorationAdvanced SQL skills for complex queries and data manipulationStrong familiarity with marketing fundamentalsExcellent communication and data storytelling skills for non-technical audiencesExperience building automated data workflows and analytical toolsProficient in BI and data visualization tools, preferably Power BIAdvanced Excel/Google Sheets skills for reporting and analysisPractical knowledge of fundamental machine learning algorithms and statistics is preferredSolid business acumen, translating analysis into measurable growth, revenue, and efficiency impact