Data Scientist - Marketing Analytics

Role Overview: As a key contributor to the marketing analytics team, you will drive data-driven decision-making for marketing campaigns and strategies. Your insights will be crucial in optimizing marketing spend and improving customer engagement through the analysis of customer behavior, segmentation, and campaign effectiveness. Key Responsibilities: - Analyze marketing data from various sources such as website, social media, and email campaigns to identify trends and insights. - Develop and maintain marketing dashboards and reports to track key performance indicators (KPIs). - Conduct A/B testing to optimize marketing campaigns and enhance conversion rates. - Build predictive models to forecast marketing performance and optimize campaign targeting. - Segment customers based on their behavior and preferences. - Collaborate with marketing teams to develop data-driven marketing strategies. - Present findings and recommendations to stakeholders. - Stay updated with the latest trends in marketing analytics. Qualification Required: - Bachelor's degree in Statistics, Mathematics, Economics, or a related field. - Strong understanding of statistical analysis and data mining techniques. - Proficiency in Python or R and relevant libraries such as Pandas, NumPy, scikit-learn, and ggplot2. - Experience with data visualization tools like Tableau or Power BI. - Knowledge of marketing analytics platforms such as Google Analytics or Adobe Analytics. - Excellent communication and presentation skills. - Ability to work independently and as part of a team. Additional Details: A Day in the Life involves extracting data from various marketing platforms, cleaning and transforming it, analyzing trends, developing reports for marketing managers, and presenting recommendations. Benefits Included: - Competitive salary and performance-based bonuses. - Comprehensive health insurance coverage. - Paid time off and holidays. - Professional development opportunities. - Employee stock options. - Company-sponsored events and activities. - Flexible work arrangements. Role Overview: As a key contributor to the marketing analytics team, you will drive data-driven decision-making for marketing campaigns and strategies. Your insights will be crucial in optimizing marketing spend and improving customer engagement through the analysis of customer behavior, segmentation, and campaign effectiveness. Key Responsibilities: - Analyze marketing data from various sources such as website, social media, and email campaigns to identify trends and insights. - Develop and maintain marketing dashboards and reports to track key performance indicators (KPIs). - Conduct A/B testing to optimize marketing campaigns and enhance conversion rates. - Build predictive models to forecast marketing performance and optimize campaign targeting. - Segment customers based on their behavior and preferences. - Collaborate with marketing teams to develop data-driven marketing strategies. - Present findings and recommendations to stakeholders. - Stay updated with the latest trends in marketing analytics. Qualification Required: - Bachelor's degree in Statistics, Mathematics, Economics, or a related field. - Strong understanding of statistical analysis and data mining techniques. - Proficiency in Python or R and relevant libraries such as Pandas, NumPy, scikit-learn, and ggplot2. - Experience with data visualization tools like Tableau or Power BI. - Knowledge of marketing analytics platforms such as Google Analytics or Adobe Analytics. - Excellent communication and presentation skills. - Ability to work independently and as part of a team. Additional Details: A Day in the Life involves extracting data from various marketing platforms, cleaning and transforming it, analyzing trends, developing reports for marketing managers, and presenting recommendations. Benefits Included: - Competitive salary and performance-based bonuses. - Comprehensive health insurance coverage. - Paid time off and holidays. - Professional development opportunities. - Employee stock options. - Company-sponsored events and activities. - Flexible work arrangements.