Manager - Customer Marketing Analytics

As a Manager/Senior Manager in Customer & Marketing Analytics at our global analytics services and solutions company, you will have the opportunity to work with clients in leading marketing & customer roles at Fortune 100 Retailers. Your key responsibilities will include: - Collaborating with stakeholders across the organization to gather requirements and understand the underlying business problems. - Serving as the bridge between business needs and analytical solutions. - Working with leadership and subject matter experts to create innovative solutions for business challenges. - Utilizing your expertise in retail data and analytics to drive decision-making. - Leveraging advanced analytics and machine learning techniques such as segmentation/clustering, recommendation engines, propensity models, and forecasting to drive growth throughout the customer lifecycle. - Leading CXM engagements and strengthening delivery by developing scalable & reusable assets, training analysts, and building a foundation. - Assisting in Opportunity identification, POV creation, and Proposal development for clients. - Applying Agile methods to manage analytics projects efficiently and ensure they deliver value quickly. - Leading and mentoring a team of data analysts and data engineers, fostering innovation and excellence. Qualifications required for this role include: - 7 years of professional experience in Analytics, showcasing expertise in retail, marketing, and customer analytics projects. - Capability in machine learning domains such as regression, classification, and unsupervised learning. - Experience in marketing analytics, campaign effectiveness evaluation, test and learn, AB testing, market mix modeling, and multi-touch attribution. - Proficiency in building customer segments, Propensity Models, CLTV Models, Recommender systems, etc. - Experience in Data Products and developing Retail Data Models, Customer Data Models, Promotions Data Models, etc. - Advanced programming skills in SQL, Python, and PySpark, capable of leading and guiding teams. - Experience with platforms such as GCP, Azure, AWS, Databricks, Snowflake, etc. - Knowledge of data visualization tools like Tableau and PowerBI to craft insightful visual reports and dashboards. - Strong problem-solving, organizational, and project management capabilities with at least 5 years of team management experience. - Leadership experience with a track record of mentoring and developing high-performing teams. - Effective communication skills, adept at presenting complex insights to stakeholders in a clear and impactful manner. As a Manager/Senior Manager in Customer & Marketing Analytics at our global analytics services and solutions company, you will have the opportunity to work with clients in leading marketing & customer roles at Fortune 100 Retailers. Your key responsibilities will include: - Collaborating with stakeholders across the organization to gather requirements and understand the underlying business problems. - Serving as the bridge between business needs and analytical solutions. - Working with leadership and subject matter experts to create innovative solutions for business challenges. - Utilizing your expertise in retail data and analytics to drive decision-making. - Leveraging advanced analytics and machine learning techniques such as segmentation/clustering, recommendation engines, propensity models, and forecasting to drive growth throughout the customer lifecycle. - Leading CXM engagements and strengthening delivery by developing scalable & reusable assets, training analysts, and building a foundation. - Assisting in Opportunity identification, POV creation, and Proposal development for clients. - Applying Agile methods to manage analytics projects efficiently and ensure they deliver value quickly. - Leading and mentoring a team of data analysts and data engineers, fostering innovation and excellence. Qualifications required for this role include: - 7 years of professional experience in Analytics, showcasing expertise in retail, marketing, and customer analytics projects. - Capability in machine learning domains such as regression, classification, and unsupervised learning. - Experience in marketing analytics, campaign effectiveness evaluation, test and learn, AB testing, market mix modeling, and multi-touch attribution. - Proficiency in building customer segments, Propensity Models, CLTV Models, Recommender systems, etc. - Experience in Data Products and developing Retail Data Models, Customer Data Models, Promotions Data Models, etc. - Advanced programming skills in SQL, Python, and PySpark, capable of leading and guiding teams. - Experience with platforms such as GCP, Azure, AWS, Databricks, Snowflake, etc. - Knowledge of data visualization tools like Tableau and PowerBI to craft insightful visual reports and dashboards. - Strong problem-solving, organizational, and project management capabilities with at least 5 years of team management experie