Data Analyst and Marketing Insights Specialist
hace 1 mes
The Data Scientist and Analytics Specialist will be part of the Marketing Analytics and Insight team at Celonis. This team is part of the marketing operation, working closely with cross-functional teams, including the broader go-to-market organization, marketing, and sales organizations. As the engine and oil of our marketing machine, driving efficiency, optimization, and smooth operations.
Key Responsibilities:
• Analyze large and complex marketing datasets to identify trends, patterns, and insights that can be used to optimize marketing strategies.
• Develop and implement predictive models to forecast marketing performance and customer behavior.
• Use clustering, classification, and other advanced techniques to segment customers based on their behavior, preferences, and demographics.
• Develop targeted marketing strategies for each segment to improve campaign effectiveness.
• Develop and refine multi-touch attribution models to measure the impact of different marketing channels and campaigns on customer acquisition and retention.
• Provide insights on the most effective marketing mix.
• Design, execute, and analyze A/B tests and other experiments to evaluate the effectiveness of marketing campaigns, offers, and strategies.
• Provide recommendations based on test outcomes.
• Apply machine learning algorithms to solve marketing problems such as churn prediction, customer lifetime value (CLV) estimation, and personalized marketing.
• Continuously improve models based on new data and feedback.
• Work closely with marketing teams to understand their goals and challenges. Provide data-driven insights and recommendations to optimize marketing strategies and drive business growth.
• Present findings and insights in a clear and compelling manner through data visualizations, reports, and presentations. Communicate complex concepts to both technical and non-technical audiences.
• Utilize and manage tools and platforms for data analysis, modeling, and visualization (e.g., Python, R, SQL, Tableau, Power BI). Stay current with new tools and technologies in data science and marketing analytics.
• Stay up-to-date with the latest trends and techniques in data science, marketing analytics, and machine learning.
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