Growth & Product Data Analyst

Growth & Product Data Analyst at YesAstrology

YesAstrology is hiring a full-time, fully remote Growth & Product Data Analyst to transform behavioral event telemetry, conversion funnels, and subscription metrics across more than 20 global locales into actionable product and monetization strategies. The role sits in the Data & Analytics department and is open to candidates worldwide. It is a business-minded analytics position: the analyst unlocks deep behavioral insights that directly influence user activation, retention, and recurring subscription revenue.

The context for this work is scale across languages and cultures. YesAstrology attracts substantial organic traffic worldwide across more than 20 languages, and each locale carries its own traffic mix, intent patterns, and conversion behavior. A visitor arriving through a natal-chart calculator in one language may behave very differently from someone entering through a daily horoscope page in another, and the analyst is expected to separate genuine behavioral signal from locale-level noise rather than averaging everything into a single global number.

This is not a role that requires astrology knowledge. As the team states directly, prior astrology knowledge is not required; strong quantitative instincts, analytical rigor, and curiosity about user behavior are what count. What the analyst does need is fluency in the mechanics of a consumer subscription product: how free calculation tools lead into sample reports, how credit packages and recurring memberships convert, and where users drop away between first visit and repeat engagement. The role is listed as remote (worldwide) with no fixed office location.

For candidates who want to understand the wider platform this data describes, the public site at yesastrology.com is the best starting point. The position is published under the slug growth-data-analyst, and the working title is Growth & Product Data Analyst.

Role Overview and Key Responsibilities

The Growth & Product Data Analyst owns YesAstrology's product and marketing analytics stack, tracking user journeys from initial calculator usage through sample reports and paywalls, designing cohort models, running statistical A/B tests, and giving product managers and engineers clear, data-backed optimization roadmaps. The role spans both product and marketing analytics rather than one or the other: the analyst studies product usage mechanics, such as which calculation tools retain users, alongside marketing acquisition and checkout funnels.

Day-to-day responsibilities are concrete and measurable:

• Analyze user cohort retention at D1, D7, D30, and D90, and identify the behavioral loops that drive repeat platform engagement.
• Map and optimize conversion funnels across free calculation tools, digital reports, credit packages, and recurring memberships.
• Design, instrument, and evaluate statistical A/B tests on landing pages, paywalls, onboarding flows, and email notifications.
• Build and maintain automated dashboards in Metabase, PostHog, or Looker Studio tracking core metrics including CAC, LTV, churn, and ARPU.
• Partner closely with growth marketers, product owners, and executive leadership to define quantitative growth hypotheses.

The primary data stack includes Supabase PostgreSQL, event telemetry pipelines, Google Analytics 4, and automated BI visualization dashboards. Candidates should bring at least three years of experience in product analytics, growth analytics, or business intelligence for consumer web or subscription SaaS products, advanced SQL proficiency with hands-on experience querying production data warehouses and transactional databases, and a deep understanding of product event telemetry tools such as PostHog, Mixpanel, Segment, or GA4 alongside statistical significance testing. The ability to turn raw telemetry into intuitive visualizations and strategic business recommendations matters as much as the querying itself, and fluent written and verbal English communication is required.

Because the platform operates in more than 20 languages, cohort definitions, funnel steps, and dashboard segments must be built to hold up across locales rather than only in the largest market. A retention loop that performs well in one language may behave differently in another, and the analyst is expected to surface those differences clearly for the product and growth teams who act on them.

Product Analytics and User Behavior Analysis

Product analytics and user behavior analysis in this role means instrumenting and interpreting every meaningful step a visitor takes on YesAstrology — from opening a free calculation tool to viewing a sample report, reaching a paywall, and renewing a membership — and converting those event streams into decisions about activation, retention, and subscription revenue. The analyst owns the product and marketing analytics stack, combining usage mechanics (which calculation tools retain users) with acquisition and checkout funnels so that activation, retention, and monetization are explained together rather than in isolation. Prior astrology knowledge is not required; quantitative rigor and curiosity about user behavior are what count.

The analytical core is cohort and funnel work. Retention is modeled at D1, D7, D30, and D90 to expose the behavioral loops that drive repeat engagement, while conversion funnels are mapped across free calculation tools, digital reports, credit packages, and recurring memberships. Because YesAstrology serves more than 20 global locales, cohort definitions, funnel steps, and dashboard segments must hold up across languages: a visitor entering through a natal-chart calculator in one language can behave very differently from someone arriving via a daily horoscope page in another, so the analyst separates genuine behavioral signal from locale-level noise instead of averaging everything into one global number.

Experimentation turns observation into evidence. The analyst designs, instruments, and evaluates statistical A/B tests on landing pages, paywalls, onboarding flows, and email notifications, applying significance testing so that a lift is trusted only when it is real. Results feed automated dashboards in Metabase, PostHog, or Looker Studio tracking CAC, LTV, churn, and ARPU, keeping growth marketers, product owners, and executive leadership aligned on shared numbers. The underlying stack is Supabase PostgreSQL, event telemetry pipelines, Google Analytics 4, and BI visualization, queried with advanced SQL against production warehouses and transactional databases.

For candidates who want to see the product surface these metrics describe, the public platform is the natural reference point; you can explore the calculation tools at Tools to understand the free-to-report journey the analyst measures. The position is published under the slug growth-data-analyst, is full-time and remote (worldwide), and sits in the Data & Analytics department.

Growth Metrics, KPIs, and Performance Tracking

The Growth & Product Data Analyst at YesAstrology is responsible for tracking a defined set of core metrics: CAC, LTV, Churn and ARPU, alongside cohort retention at D1, D7, D30 and D90 and conversion funnel performance across free calculation tools, digital reports, credit packages and recurring memberships. These KPIs are surfaced through automated dashboards built in Metabase, PostHog or Looker Studio, so that growth marketers, product owners and executive leadership work from shared numbers rather than competing interpretations.

Cohort retention is the backbone of the tracking model. The analyst segments users by acquisition week and by entry point — a visitor who first lands on a natal-chart calculator behaves differently from one who arrives through a daily horoscope page — then measures how many return at D1, D7, D30 and D90. Comparing these curves across the more than 20 supported locales reveals which behavioral loops actually drive repeat engagement and which merely inflate first-session activity. A retention loop that performs strongly in one language market may flatten quickly in another, and the dashboards are built to expose that divergence instead of hiding it inside a single global average.

Funnel tracking follows the full monetization path: free calculation tool usage, sample report opens, paywall impressions, credit package selection and recurring membership conversion. Each step is instrumented as an event in the telemetry pipeline, with Supabase PostgreSQL as the transactional source and Google Analytics 4 providing the acquisition layer. The analyst pairs funnel drop-off analysis with statistically sound A/B tests on landing pages, paywalls, onboarding flows and email notifications, always validating that observed lifts reach statistical significance before recommending a rollout.

How the KPIs Connect

The metrics are deliberately interdependent rather than reported in isolation. CAC and LTV are read together to judge whether acquisition spend is producing durable subscribers; Churn and ARPU are read together to show whether retention improvements are translating into recurring revenue. A drop in D30 retention, for example, is traced back through the funnel to identify whether the cause sits in onboarding, paywall timing or report delivery quality.

• CAC — acquisition cost per converted user, segmented by locale and entry tool.
• LTV — projected lifetime value, modeled against cohort retention curves.
• Churn — membership cancellation and lapse rates over rolling windows.
• ARPU — average revenue per user across credit packages and recurring memberships.
• D1 / D7 / D30 / D90 retention — repeat engagement benchmarks by cohort and locale.

All tracking definitions are documented so that cohort boundaries, funnel steps and dashboard segments remain consistent as the platform expands into new languages. Candidates interested in the wider platform context can explore the calculation tools that generate much of this behavioral data.

Data-Driven Growth Strategy and Experimentation

Data-driven growth strategy at YesAstrology means converting behavioral event telemetry into statistically validated product and monetization decisions across more than 20 global locales. The Growth & Product Data Analyst designs, instruments, and evaluates A/B tests on landing pages, paywalls, onboarding flows, and email notifications, then confirms that any observed lift reaches statistical significance before recommending a rollout. Every hypothesis is anchored to a measurable outcome — activation, D1/D7/D30/D90 retention, or recurring membership conversion — rather than to intuition.

The strategy layer depends on reading cohorts the way an astrologer reads a chart: the same placement behaves differently depending on the house it occupies. A visitor who first lands on a natal-chart calculator in one language behaves very differently from someone entering through a daily horoscope page in another, so the analyst segments by acquisition week, entry tool, and locale before drawing conclusions. Averaging those segments into one global number hides exactly the divergence that growth decisions depend on. The same discipline applies to the platform's own subject matter — a Sun in Capricorn in the 10th house reads as earned authority, while the same Sun in the 4th house reads as private foundation — and the analyst is expected to hold that same contextual rigor when comparing a funnel step across markets.

Experimentation runs on a defined stack: Supabase PostgreSQL as the transactional source, event telemetry pipelines, Google Analytics 4 for the acquisition layer, and automated dashboards in Metabase, PostHog, or Looker Studio tracking CAC, LTV, Churn, and ARPU. Tests are scoped so that a single variant isolates one variable — paywall timing, onboarding copy, or notification cadence — and results are documented so that cohort boundaries and funnel definitions stay consistent as the platform expands into new languages.

Prior astrology knowledge is not required for this role; quantitative rigor, advanced SQL proficiency, and curiosity about user behavior are what count. Candidates can review the wider platform context through the digital reports that anchor much of the free-to-paid journey this analysis measures.

Conversion Rate Optimization and Funnel Analysis

Conversion rate optimization at YesAstrology means mapping and improving every step from free calculation tool usage through sample report opens, paywall impressions, credit package selection, and recurring membership conversion. The Growth & Product Data Analyst instruments each step as an event in the telemetry pipeline, identifies where users drop away, and pairs that drop-off analysis with statistically sound A/B tests on landing pages, paywalls, onboarding flows, and email notifications. A lift is only trusted once it clears significance testing.

Funnel analysis is where locale-level nuance matters most. A retention loop that performs strongly in one language market may flatten quickly in another, and dashboards are built to expose that divergence rather than hide it inside a single global average. The analyst traces a D30 retention decline back through the funnel to determine whether the cause sits in onboarding, paywall timing, or report delivery quality — the same diagnostic logic an astrologer applies when a Saturn transit in the 6th house shows up as daily-work friction rather than a 10th-house career event. The placement tells you where to look; the funnel tells you what changed.

Each funnel stage is defined and documented so that cohort boundaries, step definitions, and dashboard segments remain consistent as new languages launch. Supabase PostgreSQL supplies the transactional record, Google Analytics 4 supplies acquisition context, and Metabase, PostHog, or Looker Studio surface the resulting CAC, LTV, Churn, and ARPU figures to growth marketers, product owners, and executive leadership.

• Free tool usage — entry event, segmented by locale and calculator type.
• Sample report opens — the first meaningful engagement signal.
• Paywall impressions — where intent meets the monetization boundary.
• Credit package selection — transactional step recorded in Supabase PostgreSQL.
• Recurring membership conversion — the retention-critical endpoint of the funnel.

The position is full-time, remote (worldwide), sits in the Data & Analytics department, and is published under the slug growth-data-analyst. Candidates should bring at least three years of product, growth, or business intelligence analytics experience for consumer web or subscription SaaS, advanced SQL proficiency, and fluent written and verbal English.

Data Visualization, Reporting, and Insights

The Growth & Product Data Analyst at YesAstrology turns behavioral event telemetry into automated dashboards and written insights that product owners, growth marketers, and executive leadership act on directly. Visualization work is built in Metabase, PostHog, or Looker Studio, drawing on Supabase PostgreSQL, event telemetry pipelines, and Google Analytics 4, with advanced SQL querying production warehouses and transactional databases. The output is not charts for their own sake: every dashboard exists to make a decision about activation, retention, or subscription revenue visible and defensible.

Reporting follows the full monetization path, from free calculation tool usage through sample report opens, paywall impressions, credit package selection, and recurring membership conversion. Each step is instrumented as an event, so a funnel view can show exactly where a visitor arriving through a natal-chart calculator diverges from one entering via a daily horoscope page. Cohort retention at D1, D7, D30, and D90 is segmented by acquisition week and entry point, and because the platform serves more than 20 locales, dashboard segments are built to expose divergence between language markets rather than bury it inside a single global average.

Insight generation connects the numbers back to causes. A drop in D30 retention is traced through the funnel to determine whether the source sits in onboarding, paywall timing, or report delivery quality, and the finding is paired with a statistically validated A/B test before any rollout is recommended. Core metrics — CAC, LTV, Churn, and ARPU — are read in pairs rather than in isolation: CAC against LTV to judge whether acquisition produces durable subscribers, Churn against ARPU to show whether retention gains convert into recurring revenue. Tracking definitions for cohort boundaries, funnel steps, and dashboard segments are documented so reporting stays consistent as the platform expands into new languages.

Written reporting is treated as a deliverable in its own right. Each analysis closes with a clear recommendation for product managers and engineers, expressed in plain English and tied to a specific metric movement, so that strategy conversations start from shared numbers instead of competing interpretations. Candidates who want to see the product surface these metrics describe can explore the platform through the YesAstrology home page.

Required Skills, Experience, and Qualifications

YesAstrology requires at least three years of experience in product analytics, growth analytics, or business intelligence for consumer web or subscription SaaS products, advanced SQL proficiency with hands-on querying of production data warehouses and transactional databases, and a deep understanding of product event telemetry tools such as PostHog, Mixpanel, Segment, or GA4 alongside statistical significance testing. Candidates must also demonstrate the ability to turn raw telemetry into intuitive visualizations and strategic business recommendations, and must communicate fluently in written and verbal English. Prior astrology knowledge is not required.

The technical bar is practical rather than theoretical. Advanced SQL is applied daily against Supabase PostgreSQL and event telemetry pipelines, and experimentation work requires designing, instrumenting, and evaluating A/B tests on landing pages, paywalls, onboarding flows, and email notifications with enough statistical rigor that a lift is trusted only when it is real. Dashboard fluency in Metabase, PostHog, or Looker Studio is expected, as is comfort with Google Analytics 4 as the acquisition layer feeding the funnel. Because the platform operates in more than 20 languages, the analyst must be able to build cohort definitions and funnel steps that hold up across locales rather than only in the largest market.

Beyond tooling, the role calls for business judgment. The analyst partners closely with growth marketers, product owners, and executive leadership to define quantitative growth hypotheses, which means translating an ambiguous question about retention or monetization into a measurable test and a clear recommendation. Curiosity about user behavior and analytical rigor matter more than familiarity with astrology or horoscope content; what counts is the ability to separate genuine behavioral signal from locale-level noise.

The position is full-time, remote (worldwide), sits in the Data & Analytics department, and is published under the slug growth-data-analyst. Candidates can review the wider platform context on the YesAstrology blog before applying.

How to Apply for the Growth & Product Data Analyst Position

To apply for the Growth & Product Data Analyst position at YesAstrology, submit your application for the published role under the slug growth-data-analyst, making clear in your materials that you meet the core bar: at least three years of product, growth, or business intelligence analytics experience for consumer web or subscription SaaS products, advanced SQL proficiency against production data warehouses and transactional databases, and hands-on fluency with event telemetry tools such as PostHog, Mixpanel, Segment, or GA4. The role is full-time, remote (worldwide), and sits in the Data & Analytics department, so your application should read as location-independent from the first line. Prior astrology knowledge is not required and should not be presented as a substitute for quantitative rigor.

Your strongest application asset is a worked example of analysis, not a list of tools. Describe a cohort retention model you built at D1, D7, D30, and D90 and what behavioral loop it exposed; a conversion funnel you mapped from a free tool through a paywall to a recurring membership; or an A/B test you designed, instrumented, and evaluated where you confirmed statistical significance before recommending a rollout. If you have segmented a funnel across multiple locales and separated genuine behavioral signal from locale-level noise, say so explicitly — YesAstrology operates across more than 20 global locales, and that skill is directly transferable to comparing, for instance, a visitor entering through a natal-chart calculator in one language against one arriving via a daily horoscope page in another.

Be precise about the stack you have actually used. Name the warehouses and transactional databases you have queried with advanced SQL, the BI layer you have built dashboards in (Metabase, PostHog, or Looker Studio), and your experience with Google Analytics 4 as an acquisition layer and Supabase PostgreSQL as a transactional source if applicable. Candidates who can speak to how CAC, LTV, Churn, and ARPU are read in pairs — CAC against LTV to judge durable subscribers, Churn against ARPU to test whether retention gains convert into recurring revenue — stand out from those who report metrics in isolation.

Before submitting, review the wider platform so your framing matches the product you would be measuring: the free calculation tools, digital reports, credit packages, and recurring memberships that form the funnel are all publicly visible, and the YesAstrology blog is a useful reference for the editorial and astrological context behind the traffic. Write in fluent, plain English, keep your examples tied to specific metric movements, and state clearly which parts of the funnel you owned versus supported. Applications that demonstrate business judgment — translating an ambiguous retention or monetization question into a measurable test and a clear recommendation — are the ones that move forward.