Marketing Analytics

As a candidate for the role, you will be expected to have a strong understanding of Marketing Analytics Domain and Data Analytics, along with proficiency in ML techniques. Here is a breakdown of your responsibilities and qualifications: Role Overview: In this role, you will be involved in moderately complex initiatives to deliver insights by converting business problems into analytical formats. You will participate in generating campaign and project performance reports, utilizing your programming skills in Python/SAS. Additionally, you will be responsible for reviewing and analyzing complex data aggregations and applying statistical and Machine Learning techniques to create decision strategies. Key Responsibilities: - Understand the Marketing Analytics Domain, specifically in P&C insurance marketing/Campaign working - Convert business problems into analytical formats to deliver insights - Generate campaign and project performance reports, demonstrating an understanding of marketing concepts - Conduct end-to-end programming in Python/SAS to extract results as required - Review and analyze complex data aggregations - Apply statistical and Machine Learning techniques for modeling based on large sets of variables Qualifications & Skills: - Education: Masters in Statistics/Economics/MBA, Engineering - Experience: 3-6 years of experience in Machine Learning, Data Modelling, and Programming with SAS/Python - Technical Skills: Proficiency in Python for data analytics and modeling, knowledge of Machine Learning Techniques - Organizational Skills: Strong time-management skills, ability to manage multiple projects and deadlines - Communication: Strong verbal and written communication skills for collaborating with internal and external teams - Competencies: Strong attention to detail and problem-solving skills Please note that no additional details about the company were provided in the job description. As a candidate for the role, you will be expected to have a strong understanding of Marketing Analytics Domain and Data Analytics, along with proficiency in ML techniques. Here is a breakdown of your responsibilities and qualifications: Role Overview: In this role, you will be involved in moderately complex initiatives to deliver insights by converting business problems into analytical formats. You will participate in generating campaign and project performance reports, utilizing your programming skills in Python/SAS. Additionally, you will be responsible for reviewing and analyzing complex data aggregations and applying statistical and Machine Learning techniques to create decision strategies. Key Responsibilities: - Understand the Marketing Analytics Domain, specifically in P&C insurance marketing/Campaign working - Convert business problems into analytical formats to deliver insights - Generate campaign and project performance reports, demonstrating an understanding of marketing concepts - Conduct end-to-end programming in Python/SAS to extract results as required - Review and analyze complex data aggregations - Apply statistical and Machine Learning techniques for modeling based on large sets of variables Qualifications & Skills: - Education: Masters in Statistics/Economics/MBA, Engineering - Experience: 3-6 years of experience in Machine Learning, Data Modelling, and Programming with SAS/Python - Technical Skills: Proficiency in Python for data analytics and modeling, knowledge of Machine Learning Techniques - Organizational Skills: Strong time-management skills, ability to manage multiple projects and deadlines - Communication: Strong verbal and written communication skills for collaborating with internal and external teams - Competencies: Strong attention to detail and problem-solving skills Please note that no additional details about the company were provided in the job description.