[Hiring] Associate Director, Content Business Analysis @AlphaSense

Role Description

AlphaSense Inc seeks Assoc. Director, Content Business Analysis in New York, NY.

• Analytics (15%): Execute complex strategic analytics and business intelligence projects that provide growth opportunities and data driven insights to support content leadership decisions. Collect, analyze, and interpret large datasets related to product usage, customer behavior, revenue performance, and market trends to identify opportunities for growth, operational efficiency, and product innovation.
• Product Performance (15%): Provide strategic guidance on performance measurement frameworks and establish product performance metrics, user engagement, adoption, retention, and revenue performance, customer engagement, and key performance indicators (KPIs) including annual R&D spend, gross margin by product line, customer acquisition cost payback, and content cost ratios.
• Robust Data Infrastructure (15%): Design and implement scalable data infrastructure and analytics processes to improve data accessibility, reporting accuracy, and decision-making capabilities across business functions. Establish data governance standards and ensure data quality across internal systems and third-party data sources.
• Data Analysis (15%): Analyze platform usage patterns and customer segmentation data to recommend strategies for optimizing feature access and usage-based provisioning models. Work with Product, RevOps, and Finance teams to improve cost efficiency by aligning feature availability and infrastructure utilization with customer usage patterns and revenue contribution.
• Royalty Reporting (10%): Collaborate with Finance and Business intelligence teams to build a robust royalty reporting framework, ensuring consistent, compliant and true reporting and payouts to vendor partners.
• Democratize Data (15%): Partner with Product Management, Engineering, Revenue Operations, and Finance teams to define analytics requirements and ensure alignment between business objectives and product development priorities. Collaborate cross-functionally to monitor the provisioning and rollout of platform features and data products, ensuring efficient resource allocation and alignment with customer demand.
• Dashboarding (15%): Develop and maintain advanced analytical models, executive-level dashboards, and reporting frameworks to monitor key business metrics and present actionable insights and strategic recommendations to senior leadership to inform business planning, resource allocation, and performance optimization.

Qualifications

• Bachelor’s or foreign equivalent degree in Business Analytics, Data Science, Economics, Finance, Statistics, or a related quantitative field.
• 4 years of experience in the job offered or in a business analytics, strategic analysis, or data-driven business strategy-related role.

Requirements

• SQL and data analysis tools including Python and R.
• Business intelligence dashboards and data visualization reports using Tableau, Looker, Power BI, Google Data Studio, or BigQuery.
• Financial modeling and ROI analysis.
• Customer usage analysis, segmentation, and behavioral analytics.
• Collaborating with cross-functional teams including Product Management, Engineering, Revenue Operations, and Finance to translate data insights into strategic initiatives.
• Designing data-driven performance metrics and KPIs used to monitor business performance and inform executive decision-making.
• Jira or Linear for program and task tracking, including creating and managing issues, epics, workflows, and dependency tracking across multiple teams.
• Confluence or Notion to create and maintain structured program documentation, governance materials, meeting records, and decision logs.
• Google Sheets, Microsoft Excel, or Airtable – Performing quantitative analysis using formulas, pivot tables, data reconciliation, and operational reporting.
• Application Programming Interface (API)–Based Data Workflows.
• JavaScript Object Notation (JSON) and Extensible Markup Language (XML) – Reviewing and interpreting JSON and XML data structures used in financial content feeds or data delivery workflows.

Benefits

• Base Compensation Range: $275,000 — $290,000 USD.
• Performance-based bonus.
• Equity.
• Generous benefits program.