Senior Manager - Product Analytics

<p>As a key leader within the Product Analytics team, you will act as a strategic partner to senior leadership, product teams, and customer-facing functions. Your primary mandate is to embed a culture of data-driven decision-making, transforming complex data into clear, actionable strategies that drive the business forward.</p><p><strong>The Impact You Will Create</strong></p><ul><li><p><strong>Own the Vertical Strategy:</strong> You will independently lead the product analytics charter for a dedicated vertical, transforming ambiguous data into high-impact insights that directly shape our product roadmap.</p></li><li><p><strong>Influence Executive Decisions:</strong> You will act as a trusted advisor to the business. By leveraging advanced analytics, you will forecast potential costs, revenues, and risks to guide high-level business initiatives and investments.</p></li><li><p><strong>Build a High-Performing Team:</strong> You will manage, mentor, and elevate a focused team of 2-3 analysts. You won't just oversee their daily output; you will actively champion their long-term career growth.</p></li><li><p><strong>Bridge Data and Strategy:</strong> You will be the crucial link between raw data and business performance, taking complex datasets and translating them into compelling, executive-level narratives and dashboards that drive cross-functional action.</p></li></ul><p><strong>Roles &amp; Responsibilities</strong></p><ul><li><p><strong>End-to-End Execution:</strong> Lead, scope, and execute complex data analytics projects from initial ideation through to final delivery.</p></li><li><p><strong>Stakeholder Partnership:</strong> Collaborate tightly with product and business stakeholders to define a supportive, scalable analytics charter.</p></li><li><p><strong>Data Engineering &amp; Cleansing:</strong> Filter, cleanse, and structure large, ambiguous, and complex datasets into highly usable data models.</p></li><li><p><strong>Advanced Analysis:</strong> Conduct deep qualitative and quantitative analysis to uncover hidden trends in product adoption, customer behavior, and business performance.</p></li><li><p><strong>Visual Storytelling:</strong> Design and build intuitive data visualizations and dashboards tailored to varied audiences, ensuring insights are easily digestible for both technical and non-technical stakeholders.</p></li><li><p><strong>Cross-Functional Collaboration:</strong> Partner with cross-functional team members to identify process improvements and initiate performance-enhancing business initiatives across all product lines.</p></li></ul> <p><strong>Qualifications &amp; Skills</strong></p><p><strong>Experience &amp; Education</strong></p><ul><li><p><strong>10+ years</strong> of proven experience in product analytics with a strong track record of delivering measurable business impact.</p></li><li><p><strong>4+ years</strong> of direct people management experience, building and leading high-performing analytics teams.</p></li><li><p>Bachelor’s or Master’s degree in a quantitative field (e.g., Engineering, Statistics, Math, Economics, Computer Science with Modeling/Data Science).</p></li></ul><p><strong>Core Technical Skills</strong></p><ul><li><p><strong>Data &amp; Scripting:</strong> Advanced proficiency in database technologies and tools (SQL, R, Python) for data transformation and processing.</p></li><li><p><strong>Data Visualization:</strong> Deep expertise in industry-standard visualization tools (Tableau, Power BI, Sisense, Looker, etc.).</p></li><li><p><strong>Statistical Modeling:</strong> Sound knowledge of advanced statistical techniques, including Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, and Experimental Design.</p></li></ul><p><strong>Soft Skills &amp; Preferred Expertise</strong></p><ul><li><p><strong>Agility:</strong> Proven ability to manage simultaneous, high-priority tasks in a fast-paced, technology-oriented environment, thriving eve ... (truncated, view full listing at source)