Business Intelligence Analyst
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-daydecision making.
Responsibilities
Support subscription revenue forecasting and budget modeling, including analysis of how offer mix across monthly, annual, trial, discount, and promotional plans impactsrecognized revenue, cash flow timing, and long-range revenue planning.
Build and maintainretention 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 offersusing 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 validatethat these data sets support the analytics use cases above.
Proactively identifydata quality issues, define remediation approaches, and advocate for improvements that increase trust in BI outputs.
Communicate complex analytical findings in simple, non-technicallanguage, 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-onexperience with cohort-basedretention analysis, including interpreting the impact of pricing and value proposition changes on retention and revenue.
Demonstrated ability to design and implement LTV methodologies (top-downand/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.
Proficiencywith a BI/visualization tool (e.g., Looker, Tableau, Power BI, Mode) to build dashboards and self-servicereporting for non-technicalstakeholders.
Ability to translate ambiguous business questions into concrete analytical plans, including defining metrics, cohorts, and success criteria.
Strong communicationskills, including experience presenting findings and recommendations to cross-functionalstakeholders and leadership.
Nice to Have
Experience with subscription analytics in publishing, news, or digital magazines (e.g., paywall funnels, trial optimization, cross-platformengagement).
Understanding ofdigital 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, causalinference).
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: $60-$110 per hour, commensuratewith relevant experience. This is a fixed-term contract engagement, with hours and duration determined based on project needs.