Business Intelligence Analyst

FORTUNE; New York (NY); On-site; USD 83,000 - 152,000; Full time

Job summary

Fortune Media is seeking a Business Intelligence Analyst to own analytics driving subscription growth, retention, and revenue optimization. You will partner with Marketing, Product, and Finance to turn subscriber, traffic, and revenue data into actionable insights.

The role emphasizes cohort-based retention, LTV methodologies, revenue forecasting, and dashboards that influence strategy and daily decisions across teams.

Qualifications

• Proven experience in a BI/Analytics or Data Science role supporting a subscription, digital media, or e‑commerce business.
• Hands-on experience with cohort-based retention analysis and pricing impact on retention and revenue.
• Experience designing and implementing LTV methodologies for forecasting and portfolio optimization.
• Proficiency with a BI/visualization tool to build dashboards for non-technical stakeholders.

Responsibilities

• Own analytics for subscription revenue forecasting and budget modeling.
• Build retention analyses by cohort to assess pricing changes on retention and revenue.
• Develop and operationalize LTV models for current and new offers.
• Analyze advertising revenue by cohort and referrer to evaluate campaigns.
• Create, QA, and document logic for key funnel and behavioral metrics for stakeholders.
• Deliver dashboards, reports, and presentations that drive decisions; ensure data quality and trust.

Skills

SQL

Python

R

LTV modeling

Cohort analysis

Forecasting

Data storytelling

A/B testing

Marketing attribution

Tools

Looker

Tableau

Power BI

Mode

Job description

The Business Intelligence Analyst will own critical analytics used to drive subscription growth, retention, and revenue optimization. This role partners closely with Marketing, Product, and Finance to turn complex subscriber, traffic, and revenue data into clear, actionable insights that inform strategy and day-to-day decision making.

Responsibilities

Support subscription revenue forecasting and budget modeling, including analysis of how offer mix across monthly, annual, trial, discount, and promotional plans impacts recognized revenue, cash flow timing, and long-range revenue planning. Build and maintain retention analyses by cohort to understand the impact of value propositions and pricing changes on subscriber retention and revenue over time. Develop and operationalize lifetime value (LTV) models for current and new subscription offers, including the ability to size new offers using a retention model and projected LTVs. Analyze advertising revenue by cohort and traffic referrer to illuminate how different acquisition sources and campaigns perform over the customer lifecycle. Create, QA, and document logic for key funnel and behavioral metrics, ensuring all stakeholder teams can reliably use and interpret the outputs. Partner with lifecycle, growth, and product teams to translate business questions into clearly defined analytical requirements, then deliver dashboards, reports, and presentations that drive decisions. Partner with data engineering to define requirements for consistent user identifiers, event taxonomies, and attribution rules, and then validate that these data sets support the analytics use cases above. Proactively identify data quality issues, define remediation approaches, and advocate for improvements that increase trust in BI outputs. Communicate complex analytical findings in simple, non-technical language, including recommended actions and expected business impact.

Required Skills and Experience

Proven experience in a Business Intelligence, Analytics, or Data Science role supporting a subscription, digital media, or e-commerce business. Deep hands-on experience with cohort-based retention analysis, including interpreting the impact of pricing and value proposition changes on retention and revenue. Demonstrated ability to design and implement LTV methodologies (top-down and/or bottom-up) that support forecasting, offer testing, and portfolio optimization. Deep experience with subscription revenue forecasting and budget planning, including the ability to model how different offer types, billing cadences, and promotional structures affect recognized revenue over time. Proficiency with a BI/visualization tool (e.g., Looker, Tableau, Power BI, Mode) to build dashboards and self-service reporting for non-technical stakeholders. Ability to translate ambiguous business questions into concrete analytical plans, including defining metrics, cohorts, and success criteria. Strong communication skills, including experience presenting findings and recommendations to cross-functional stakeholders and leadership. Nice to Have Experience with subscription analytics in publishing, news, or digital magazines (e.g., paywall funnels, trial optimization, cross-platform engagement). Understanding of digital advertising and marketing attribution, with specific experience analyzing performance by traffic source, referrer, and campaign over time. Familiarity with customer data and marketing platforms (e.g., Salesforce Marketing Cloud, Iterable, Piano, Recurly, or similar tools). Knowledge of statistical methods for experiment design and analysis (A/B testing, incrementality, causal inference). Experience working with customer journey/event data for funnel analysis, churn modeling, or personalization. Comfort with a scripting language (e.g., Python or R) for more advanced modeling or automation.

Who You Are

You are a structured thinker who enjoys working from first principles and building analytic frameworks that can scale. You balance rigor with pragmatism and know when to ship a directional answer versus when to invest in deeper modeling. You can move fluidly between the details (SQL, fields, and joins) and the bigger picture (what this means for the business and what to do about it).

Compensation

Compensation: $60-$110 per hour, commensurate with relevant experience. This is a fixed-term contract engagement, with hours and duration determined based on project needs.

Fortune Media is a global media organization dedicated to helping its readers, viewers, and attendees succeed in business through unrivaled access and best-in-class storytelling. Fortune's mission is to drive the conversation about business. With a global perspective, the guiding wisdom of history, and an unflinching eye to the future, we report and reveal the stories that matter today-and that will matter even more tomorrow. With the trusted power to convene and challenge those who are shaping industry, commerce and society around the world, Fortune lights the path for global leaders-and gives them the tools to make business better. Our values inform our mission. We believe that business can be a powerful platform for good, and we are committed to holding it to that standard.