Analytics Manager

Role Overview We are seeking a highly analytical and strategic Manager – Product Marketing Data Science & Strategy to lead the intersection of data science, product marketing, and business decision-making. This role will be instrumental in translating complex data into actionable insights that inform go-to market strategies, product positioning, customer segmentation, and revenue growth initiatives. This role is at the intersection of marketing, data science & analytics, and business strategy. The ideal candidate has strong technical acumen, marketing intuition, and a business-oriented mindset to drive high-impact decisions across product marketing efforts. What your main responsibilities are Data Science & Advanced Analytics • Build predictive models and machine learning solutions to optimize targeting, pricing, customer segmentation, and lifecycle marketing strategies. • Conduct advanced statistical analysis to understand customer behavior, product adoption patterns, and campaign ROI. • Develop and scale algorithms to support personalization, lead scoring, and conversion rate optimization. Strategic Marketing Insights • Partner with product marketers to shape positioning, messaging, and GTM strategies using data-driven insights. • Analyze competitive landscapes, market trends, to support strategic planning. • Deliver high impact insights and recommendations to cross-functional stakeholders. Data Infrastructure & Reporting • Define data requirements and work with engineering and BI teams to ensure clean, scalable, and accessible marketing datasets. • Develop interactive dashboards and self-service tools to democratize marketing performance data across teams. • Own key performance metrics and attribution models that connect marketing activities to business outcomes. Cross-Functional Collaboration • Act as a strategic thought partner to marketing, product, and sales leadership. • Collaborate with GTM teams to test hypotheses, run experiments, and iterate on marketing strategies. • Drive alignment on customer definitions, metrics, and business drivers across departments. Team & Project Leadership • Lead cross-functional analytics initiatives and manage junior data scientists or analysts. • Champion data literacy and insight-driven decision-making across the marketing organization. What we are looking for Education & Experience • Master’s degree in data science, Statistics, Economics, Computer Science, Engineering, or related field. • 10+ years of experience in product analytics, data science, strategy roles, preferably in a global consulting environment. • Proficiency in SQL, Python, and data visualization tools (e.g., Tableau, Power BI, Looker). • Experience building models using machine learning libraries and frameworks (e.g., scikit-learn, XGBoost, TensorFlow, etc.). • Strong communication and storytelling skills with the ability to explain complex concepts to non-technical stakeholders. • Proficient with marketing concepts, strategy consulting, and product lifecycle