Specialist

Role Overview: As an Analyst with 24 years of experience in Analytics, Marketing Science, or Data Science, your role at Mastercard will involve leading the design and execution of A/B tests, campaign analytics, and test-control methodologies. You will perform deep-dive analysis on customer journeys, marketing funnels, and portfolio performance, and develop predictive models to inform segmentation, personalization, and targeting strategies. Your thought leadership in marketing measurement and performance optimization will be crucial, as you translate insights into business impact through crisp storytelling and stakeholder engagement. Key Responsibilities: - Lead design and execution of A/B tests, campaign analytics, and test-control methodologies. - Perform deep-dive analysis on customer journeys, marketing funnels, and portfolio performance. - Develop predictive models to inform segmentation, personalization, and targeting strategies. - Provide thought leadership in marketing measurement and performance optimization. - Translate insights into business impact through crisp storytelling and stakeholder engagement. Qualifications Required: - Undergraduate degree with 2-4 years of analytical experience in consulting, analytics, or data science with a strong focus on marketing analytics. - Proficiency in tools such as SQL, Python, R, or SAS. - Strong foundation in A/B testing, test-control analysis, and statistical modelling. - Proven ability to communicate insights effectively with clarity and executive presence. - Experience with data visualization platforms (e.g., Tableau, Power BI). - Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations. - Logical, structured thinking and affinity for statistical and numerical analysis. - Advanced Word, Excel, and PowerPoint skills. - Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment. - Ability to communicate effectively in English and the local office language (if applicable). - Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs. Preferred Qualifications: - Experience working on digital marketing, lifecycle campaigns, or customer analytics. - Exposure to or hands-on use of GenAI tools for marketing insight generation or automation. - Masters degree in Data Science, Statistics, Econometrics, Marketing, or related field is a plus. Role Overview: As an Analyst with 24 years of experience in Analytics, Marketing Science, or Data Science, your role at Mastercard will involve leading the design and execution of A/B tests, campaign analytics, and test-control methodologies. You will perform deep-dive analysis on customer journeys, marketing funnels, and portfolio performance, and develop predictive models to inform segmentation, personalization, and targeting strategies. Your thought leadership in marketing measurement and performance optimization will be crucial, as you translate insights into business impact through crisp storytelling and stakeholder engagement. Key Responsibilities: - Lead design and execution of A/B tests, campaign analytics, and test-control methodologies. - Perform deep-dive analysis on customer journeys, marketing funnels, and portfolio performance. - Develop predictive models to inform segmentation, personalization, and targeting strategies. - Provide thought leadership in marketing measurement and performance optimization. - Translate insights into business impact through crisp storytelling and stakeholder engagement. Qualifications Required: - Undergraduate degree with 2-4 years of analytical experience in consulting, analytics, or data science with a strong focus on marketing analytics. - Proficiency in tools such as SQL, Python, R, or SAS. - Strong foundation in A/B testing, test-control analysis, and statistical modelling. - Proven ability to communicate insights effectively with clarity and executive presence. - Experience with data visualization platforms (e.g., Tableau, Power BI). - Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations. - Logical, structured thinking and affinity for statistical and numerical analysis. - Advanced Word, Excel, and PowerPoint skills. - Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment. - Ability to communicate effectively in English and the local office language (if applicable). - Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs. Preferred Qualifications: - Experience working on digital marketing, lifecycle campaigns, or customer analytics. - Exposure to or hands-on use of GenAI tools for marketing insight generation or automation. - Masters degree in Data Science, Statistics,