Responsibilities

• Proactively identify business problems and analyze customer behavior to inform strategies for product purchase, upgrades, and cross-product expansion
• Translate analytical findings into clear visualizations and actionable recommendations for Marketing Communications and cross-functional partners
• Design, build, and maintain Tableau dashboards to track the impact of product launches and marketing activities on a regular cadence
• Develop and apply machine learning models (e.g., classification, regression, ensemble methods) to optimize marketing strategies and personalization efforts
• Partner with Engineering and Machine Learning teams to develop scalable data pipelines and production-ready modeling solutions
• Leverage LLMs and agentic AI workflows to streamline analysis, automate repetitive tasks, and accelerate insight generation, visualization, and modeling
• Analyze market investments, including pricing, marketing mix, attribution, channel performance, and partner program effectiveness
• Lead data preparation, integration, and quality assurance to ensure robust and reliable modeling outputs across the project lifecycle

Requirements

• Graduate degree in Business (quantitative focus), Statistics, Data Mining, Machine Learning, Analytics, Econometrics, Mathematics, Operations Research, Industrial Engineering, or a related field with 4+ years of experience OR Bachelor's with 6 years of relevant experience.
• Strong foundation in machine learning methods, including classification, regression, clustering, and ensemble techniques
• Proficiency in Python or Spark, with experience developing production-level analytical solutions
• Advanced SQL skills, including query optimization and data modeling in Snowflake
• Experience building and maintaining data visualization dashboards using Tableau or other visualization tools

Preferred

• Strong business acumen with the ability to connect analytical insights to strategic decision-making
• Experience with advanced marketing analytics techniques (e.g., time-series regression, marketing mix modeling, multi-touch attribution)
• Experience using LLMs and AI-assisted tooling to improve analytical productivity
• Experience presenting analytical findings and recommendations to senior leadership
• Experience managing end-to-end analytics projects with multiple competing priorities
• Experience partnering with technical and non-technical teams to translate business questions into analytical frameworks
• Experience working with incomplete or ambiguous data to deliver results in a dynamic environment

Benefits

• Comprehensive medical and dental coverage
• retirement benefits
• a range of discounted products and free services
• reimbursement for certain educational expenses - including tuition