AlphaSense - Data Analyst, Product Strategy & AI
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT
Requirements
• Deep Product & Business Intuition: Demonstrated ability to understand product strategy and key metrics • Deep Product & Business Intuition: • Communication & Influence: Exceptional written and verbal communication skills, with a proven track record of presenting complex data insights clearly and persuasively to both technical and non-technical stakeholders. Proven ability to build strong working relationships and influence decision-making across cross-functional teams, particularly with Product Management. • Communication & Influence • The "Stats-First" Mindset: As AI makes querying easier, knowing which statistical tests to apply and how to interpret the noise is your superpower. • The "Stats-First" Mindset: • Technical Fluency (SQL & AI): Expert-level SQL is a must. You don't need to be a core software engineer, but you must be comfortable using Python and working with APIs, LLMs, and agentic frameworks. • Technical Fluency (SQL & AI): • Curiosity & Adaptability: The AI tooling landscape changes rapidly. You are the kind of person who actively explores new frameworks, and experiments with how to apply them to business problems. • Curiosity & Adaptability: • Collaborative Leadership: Ability to work seamlessly with a highly technical remote data team (India) while acting as the strategic face of data for the product leadership team (NYC). • Collaborative Leadership: • Location & Alignment: Ability to effectively collaborate and interact in real-time with Product teams primarily based in NYC, while also being able to work effectively with a team in India.
Responsibilities
• Be the Strategic Co-Pilot for PMs: Co-locate with the Product team to understand the business deeply. Proactively look across all product features to identify trends, drop-offs, and opportunities that go beyond feature-by-feature reporting. Lead the effort to translate complex data analysis into clear, concise, and compelling narratives that drive key business decisions and product feature development decisions. • Be the Strategic Co-Pilot for PMs: • Deep-Dive Analysis: Conduct and oversee comprehensive, complex analyses of product usage and adoption. Go beyond surface-level metrics to identify root causes for trends. • Deep-Dive Analysis: • Project Oversight: Act as a thought partner to Product leadership, proactively identifying opportunities and risks through data analysis. Collaborate closely with Product Managers to define key performance indicators (KPIs), establish success metrics for new features, and provide ongoing, proactive insights into product performance. • Project Oversight: • Solve High-Stakes Business Questions: Use advanced statistical methods (e.g., cohort analysis, propensity matching, causal inference, etc.) to answer critical executive and investor questions—such as whether new product capabilities are actually inflecting long-term user retention. • Solve High-Stakes Business Questions: • Build the AI-to-Data Bridge: Wire up our BigQuery data warehouse to modern LLMs using standard protocols (like Model Context Protocol / MCP) or native cloud AI tooling. • Build the AI-to-Data Bridge: • Design the Semantic Layer: Partner with our Data Engineering team in India to ensure our data schemas are "AI-ready" (e.g., clean, well-aliased, and structured) • Design the Semantic Layer:
Benefits
• You will be the founding member of our next-generation analytics workflow, with the autonomy to define how a modern Product team interacts with data. • For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below. • You may also be offered a performance-based bonus, equity, and a generous benefits program.
No credit card. Takes 10 seconds.