Associate Director, Content Business Analysis

AlphaSense•New York, NY

2d•$275,000 - $290,000•Remote

About The Position

AlphaSense Inc. seeks an Associate Director, Content Business Analysis in New York, NY. The role leads strategic analytics and business intelligence work to identify growth opportunities and provide data-driven insights for content leadership. It analyzes large datasets relating to product usage, customer behavior, revenue performance, and market trends; establishes product-performance measurement frameworks and KPIs; and builds scalable data infrastructure, governance standards, and reporting processes. The position analyzes platform usage and customer segments to inform feature access and usage-based provisioning, and works with Product, Revenue Operations, and Finance to align costs and infrastructure utilization with customer usage and revenue contribution. It also develops a compliant royalty reporting framework with Finance and Business Intelligence, collaborates across Product Management, Engineering, Revenue Operations, and Finance on analytics requirements and feature rollouts, and produces analytical models, executive dashboards, and reporting to support leadership decisions. Full-time telecommuting is permitted. The role requires 40 hours per week and international travel of up to 5% for offsite strategy meetings, all-hands, and product or sales kickoffs, including two to three trips abroad per year. The posting lists a salary of $172,994–$233,000 per year and separately lists a base compensation range of $275,000–$290,000 USD. A performance-based bonus, equity, and a benefits program may also be offered. Applicants must have authority to work permanently in the U.S.

Requirements

Bachelor’s degree or foreign equivalent in Business Analytics, Data Science, Economics, Finance, Statistics, or a related quantitative field.
Four years of experience in the job offered or in a business analytics, strategic analysis, or data-driven business strategy-related role.
Experience with SQL and data analysis tools, including Python and R.
Experience creating business intelligence dashboards and data visualization reports using Tableau, Looker, Power BI, Google Data Studio, or BigQuery.
Experience with financial modeling and ROI analysis.
Experience with customer usage analysis, segmentation, and behavioral analytics.
Experience collaborating with Product Management, Engineering, Revenue Operations, and Finance to translate data insights into strategic initiatives.
Experience designing data-driven performance metrics and KPIs to monitor business performance and inform executive decision-making.
Experience using Jira or Linear for program and task tracking, including managing issues, epics, workflows, and dependencies across teams.
Experience using Confluence or Notion to maintain program documentation, governance materials, meeting records, and decision logs.
Experience using Google Sheets, Microsoft Excel, or Airtable for quantitative analysis, including formulas, pivot tables, data reconciliation, and operational reporting.
Experience with API-based data workflows.
Experience reviewing and interpreting JSON and XML structures used in financial content feeds or data delivery workflows.
Authority to work permanently in the U.S.

Responsibilities

Execute complex strategic analytics and business intelligence projects to identify growth opportunities and provide data-driven insights for content leadership decisions.
Collect, analyze, and interpret data on product usage, customer behavior, revenue performance, and market trends to identify growth, operational efficiency, and product innovation opportunities.
Establish product-performance measurement frameworks and metrics for engagement, adoption, retention, revenue, and other KPIs, including annual R&D spend, gross margin by product line, customer acquisition cost payback, and content cost ratios.
Design and implement scalable data infrastructure and analytics processes that improve data accessibility, reporting accuracy, and decision-making across business functions.
Establish data governance standards and ensure data quality across internal systems and third-party data sources.
Analyze platform usage and customer segmentation data to recommend feature-access and usage-based provisioning strategies.
Work with Product, Revenue Operations, and Finance to improve cost efficiency by aligning feature availability and infrastructure utilization with customer usage and revenue contribution.
Collaborate with Finance and Business Intelligence teams to build a consistent, compliant royalty reporting framework and ensure accurate reporting and payouts to vendor partners.
Partner with Product Management, Engineering, Revenue Operations, and Finance to define analytics requirements and align business objectives with product development priorities.
Collaborate cross-functionally to monitor provisioning and rollout of platform features and data products, ensuring efficient resource allocation and alignment with customer demand.
Develop and maintain analytical models, executive-level dashboards, and reporting frameworks to monitor business metrics.
Present actionable insights and strategic recommendations to senior leadership to inform business planning, resource allocation, and performance optimization.