Associate Manager, Analytics

Job Description

GALE helps brands solve complex challenges through our integrated consultancy and agency offering. Headquartered in New York with offices in Toronto, Singapore and Bangalore, our teams are connected by a set of core values that inform everything we do, from how we hire to how we work together: values like Everyone Matters, No Silos, and Masters of Our Craft. If youre driven by a passion to build something great, a desire to innovate, and a commitment to achieve excellence in your craft, GALE is a great place for you. Experience Required: 6 – 8 years Job Summary: We are seeking a highly skilled and experienced Data Scientist to join our team. The ideal candidate will have a strong background in machine learning, experience in implementing Generative AI (GenAI) solutions, and expertise in media and marketing analytics. This role requires a blend of analytical, technical, and problem-solving skills to drive data-driven decision-making and innovative solutions. Experience Required: 6 – 8 years Key Responsibilities: Machine Learning & AI Implementation Develop and deploy machine learning models to address business challenges. Design, implement, and evaluate GenAI models to optimize workflows and generate actionable insights. Media & Marketing Analytics Analyze and interpret marketing performance data to identify trends, opportunities, and areas for improvement. Build attribution models, campaign analysis, and customer segmentation strategies. Data Analysis & Visualization Create insightful dashboards and visualizations using tools like Tableau, Power BI, or similar. Present data-driven insights to technical and non-technical stakeholders. Data Processing & Management Work with large datasets to preprocess, clean, and transform data for analysis. Write optimized SQL queries to extract and manipulate data from databases. Collaboration & Stakeholder Management Collaborate with cross-functional teams, including marketing, product, and engineering, to drive data-centric decision-making. Communicate technical solutions effectively to non-technical stakeholders. Mandatory Skills: Proficiency in Python for data analysis, machine learning, and model deployment. Strong understanding of Machine Learning algorithms and frameworks. Experience with Generative AI (GenAI) implementation and tools. Hands-on expertise in media/marketing analytics (e.g., campaign performance, attribution modeling). Proficiency in one or more data visualization tools (e.g., Tableau, Power BI, Looker). Working knowledge of SQL for data extraction and manipulation. Familiarity with cloud platforms like AWS, Azure, or GCP. Preferred Skills: Knowledge of A/B testing, marketing mix modeling, and customer segmentation techniques. Understanding of NLP and large language models. Educational Qualifications: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.