About the Role:
We are seeking a highly analytical and strategic Senior Manager, Digital Product Analytics to join our team. In this role, you will be instrumental in leveraging data to drive the success of our digital products and user experience. You will collaborate closely with product managers, engineers, and marketing teams to identify key metrics, design experiments, and provide actionable insights that inform product strategy and development. The ideal candidate has a strong background in product analytics, a passion for understanding user behavior, and a proven ability to translate complex data into clear, concise recommendations.
Key Responsibilities:
Lead the design, development, and maintenance of comprehensive digital product analytics dashboards and reports, providing clear visibility into key performance indicators (KPIs) and trends. Collaborate with product managers to define and track product success metrics, identify opportunities for improvement, and inform product roadmaps. Conduct deep-dive analyses into user behavior, feature adoption, conversion funnels, and retention patterns to uncover actionable insights and recommend data-driven product enhancements. Design and analyze A/B tests and other experiments to evaluate the impact of new features and product changes, providing clear recommendations based on statistical significance. Partner with engineering teams to ensure proper data instrumentation and tagging across all digital products, maintaining data quality and integrity. Develop and implement predictive models to forecast user behavior, identify churn risks, and personalize user experiences. Present findings and recommendations to stakeholders at all levels, communicating complex analytical concepts in a clear and compelling manner. Stay up-to-date with industry best practices in product analytics, data visualization, and experimentation methodologies. Mentor and guide junior analysts, fostering a culture of data-driven decision-making within the product team.
What you bring to the role:
Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. Master’s degree preferred. 6+ years of experience in product analytics, business intelligence, or a similar data-focused role, preferably in an e-commerce or direct-to-consumer (DTC) environment. Proven expertise in SQL for data extraction and manipulation, with a strong understanding of relational databases. Proficiency in data visualization tools (e.g., Tableau, Looker, Power BI) and experience building interactive dashboards. Solid understanding of statistical analysis, hypothesis testing, and experimental design (A/B testing). Experience with web analytics platforms (e.g., Google Analytics, Adobe Analytics) and tag management systems (e.g., Google Tag Manager). Familiarity with data warehousing concepts and tools (e.g., Snowflake, BigQuery). Experience with scripting languages (e.g., Python, R) for data analysis and modeling is a plus. Excellent communication and presentation skills, with the ability to translate complex data into clear, actionable insights for both technical and non-technical audiences. Strong problem-solving abilities and a strategic mindset, with a proven track record of driving product improvements through data. Ability to thrive in a fast-paced, dynamic environment and manage multiple projects simultaneously.
