AlphaSense

Builds AI search tools for market research

Associate Director - Content Business Analysis

Data AnalysisConfirmed live in the last 24 hours

Full-timeNew York, NY, USA

About the Job

Requirements

A bachelor's or foreign equivalent degree in Business Analytics, Data Science, Economics, Finance, Statistics, or a related quantitative field is required.
At least four years of experience in the job offered or in a business analytics, strategic analysis, or data-driven business strategy-related role is required.
Experience with SQL and data analysis tools including Python and R is required.
Experience building business intelligence dashboards and data visualization reports using Tableau, Looker, Power BI, Google Data Studio, or BigQuery is required.
Experience with financial modeling and return on investment analysis is required.
Experience with customer usage analysis, segmentation, and behavioral analytics is required.
Experience collaborating with Product Management, Engineering, Revenue Operations, and Finance teams to translate data insights into strategic initiatives is required.
Experience designing data-driven performance metrics and key performance indicators used to monitor business performance and inform executive decision-making is required.
Experience with Jira or Linear for program and task tracking, including creating and managing issues, epics, workflows, and dependency tracking across multiple teams, is required.
Experience with Confluence or Notion to create and maintain structured program documentation, governance materials, meeting records, and decision logs is required.
Experience using Google Sheets, Microsoft Excel, or Airtable for quantitative analysis, including formulas, pivot tables, data reconciliation, and operational reporting, is required.
Experience with application programming interface-based data workflows is required.
Experience reviewing and interpreting JavaScript Object Notation and Extensible Markup Language data structures used in financial content feeds or data delivery workflows is required.
Must have authority to work permanently in the United States.
Must be able to work 40 hours per week.

Responsibilities

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.
Provide strategic guidance on performance measurement frameworks and establish product performance metrics, including user engagement, adoption, retention, revenue performance, customer engagement, and key performance indicators such as annual research and development spend, gross margin by product line, customer acquisition cost payback, and content cost ratios.
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.
Analyze platform usage patterns and customer segmentation data to recommend strategies for optimizing feature access and usage-based provisioning models.
Work with Product, Revenue Operations, and Finance teams to improve cost efficiency by aligning feature availability and infrastructure utilization with customer usage patterns and revenue contribution.
Collaborate with Finance and Business Intelligence teams to build a robust royalty reporting framework and ensure consistent, compliant, and true reporting and payouts to vendor partners.
Partner with Product Management, Engineering, Revenue Operations, and Finance teams to define analytics requirements and align business objectives with 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.
Develop and maintain advanced analytical models, executive-level dashboards, and reporting frameworks to monitor key business metrics.
Present actionable insights and strategic recommendations to senior leadership to inform business planning, resource allocation, and performance optimization.
Travel internationally up to 5% to current office locations for offsite strategy meetings, all-hands meetings, and product or sales kickoffs 2–3 times per year abroad.

About AlphaSense:

AlphaSense is the AI platform redefining market intelligence and workflow orchestration, trusted by thousands of leading organizations to drive faster, more confident decisions in business and finance. The platform combines domain-specific AI with a vast content universe of over 500 million premium business documents — including equity research, earnings calls, expert interviews, filings, news, and internal proprietary content. Purpose-built for speed, accuracy, and enterprise-grade security, AlphaSense helps teams extract critical insights, uncover market-moving trends, and automate complex workflows with high-quality outputs. With AI solutions like Generative Search, Generative Grid, and Deep Research, AlphaSense delivers the clarity and depth professionals need to navigate complexity and obtain accurate, real-time information quickly. For more information, visit www.alpha-sense.com. Come join us.

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

Duties:

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.

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

Position requires experience in each of the following skills:

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.

Full-time Telecommuting permitted.

International travel required up to 5% to travel to any of our current office locations including Singapore, Bangalore, Pune, New Delhi, Finland, London, Waterford (Ireland), NYC, Chicago, and Vancouver for offsite strategy meetings, all-hands, and product or sales kickoffs 2-3 times per year abroad.

40 hours/week. $172,994/yr. - $233,000/yr. Must also have authority to work permanently in the U.S. Applicants who are interested in this position may apply at https://www.jobpostingtoday.com/ Ref #26920.

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.

Base Compensation Range

$275,000—$290,000 USD

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

AlphaSense never asks candidates to pay for job applications, equipment, or training.
All official communications will come from an @alpha-sense.com email address.
If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Base Compensation Range 275000 - 290000 USD

About the Company

AlphaSense

Builds AI search tools for market research

AlphaSense builds market intelligence software for investment professionals and corporate teams researching companies, competitors, and business trends. Its platform brings company filings, earnings calls, industry news, and expert interviews into a searchable library, so analysts work across sources rather than opening each document separately. AI tools interpret research questions, summarize findings, and link answers to the underlying material for review. Organizations also connect their internal research to the platform and pay subscription fees for access to its software and content. AlphaSense launched in 2011 and is headquartered in New York City.

Company size: 1,001-5,000
Company stage: Late Stage VC
Total funding: $1.8B
Headquarters: New York City, New York
Founded: 2011

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