Responsibilities

• Data Analysis & Insights
• Analyzing marketing performance, survey, customer, and market data to assess effectiveness, identify trends, and inform strategic decisions
• Translating complex data into visually compelling, actionable insights and presenting findings to internal teams and clients.
• Data Infrastructure & Technology Oversight
• Overseeing the MarTech and data stack, including pipelines, APIs, ELT tools, and Snowflake data warehouse.
• Establishing and maintaining standards for data structure, naming conventions, warehouse organization, SQL development, and data transformation to improve scalability, consistency, and reporting efficiency.
• Guiding and contributing to development of reporting dashboards (Tableau) to deliver actionable insights for internal teams and client stakeholders.
• Advanced Analytics & Research
• Leading the development of advanced analytics solutions, including predictive modeling, segmentation, regression analysis, and factor analysis to solve business challenges.
• Leading and supporting the primary research function, setting methodology standards and reviewing research design to ensure findings are translated into clear, actionable recommendations for clients and internal teams.

Requirements

• Strong technical fluency in SQL and working knowledge of Python and/or R, with the ability to guide team members across data modeling, querying, automation, and analytical workflows.
• Experience with modern marketing data and business intelligence ecosystems, including platforms such as Tableau, Google Analytics, paid media platforms, CRM systems, APIs, ELT/ETL tools, and cloud data warehouses such as Snowflake.
• Strong ability to interpret, synthesize, and communicate complex data and research findings as clear, strategic, and actionable recommendations for clients and internal teams.
• Strong knowledge of marketing research methodologies, including survey design, sampling, qualitative and quantitative approaches, segmentation, and research interpretation.
• Working knowledge of statistical and advanced analytics methods, including hypothesis testing, experimental design, predictive analytics, segmentation modeling, and machine learning concepts.
• Experience leading multidisciplinary teams across data, analytics, and research, with the ability to align technical execution with marketing and business objectives.
• Working knowledge of data privacy, governance, and responsible data practices, including relevant regulations such as GDPR, CCPA and HIPAA.
• Demonstrated curiosity and practical experience applying AI, automation, or emerging analytical technologies, with the judgment to evaluate their appropriate use, limitations, and business value
• Strong judgment and attention to detail, with accountability for the accuracy, integrity, confidentiality, and quality of data, research, and insights delivered to stakeholders.