{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/growth-analytics"},"x-facet":{"type":"skill","slug":"growth-analytics","display":"Growth Analytics","count":4},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_87cfb794-843"},"title":"Data Scientist","description":"<p>Replit is redefining how software is built and who gets to build it. Our mission is Autonomy for All , making programming accessible, collaborative, and powered by AI.</p>\n<p>This role owns how Replit understands its customers across every touchpoint. You&#39;ll build the analytics and intelligence layer that spans marketing performance, customer signals, and support , turning massive volumes of behavioural data, feedback, and interaction signals into insights that drive growth, retention, and revenue.</p>\n<p>You will:</p>\n<ul>\n<li>Design and analyse marketing experiments across paid, lifecycle, and content channels; optimise CAC, LTV, and ROAS</li>\n<li>Build multi-touch attribution and marketing mix models to understand what&#39;s driving growth</li>\n<li>Synthesise customer signals , support tickets, social, reviews, CSAT , into automated intelligence that reaches the teams who need it</li>\n<li>Build churn and retention models to identify at-risk users and inform lifecycle intervention strategies</li>\n<li>Define and maintain customer segmentations and personas that drive targeting, messaging, and product decisions</li>\n<li>Build the analytical foundation for Voice of the Customer , connecting qualitative feedback signals to quantitative behaviour data at scale</li>\n<li>Detect emerging product issues and bugs faster by surfacing support signal early enough to shape engineering priorities</li>\n<li>Optimise automation and deflection to reduce support load and improve self-serve resolution rates</li>\n<li>Build the measurement foundation to fully optimise ROI across all support activities</li>\n<li>Use LLMs and agentic workflows to analyse unstructured data at scale and automate recurring analysis</li>\n<li>Create automated reporting that puts key metrics to inform the company</li>\n</ul>\n<p>Required Skills and Experience:</p>\n<ul>\n<li>6+ years of experience in data science with a focus on marketing, growth, or customer analytics</li>\n<li>Strong SQL skills and experience with large-scale event-level user behaviour data; experience designing ETL workflows using dbt</li>\n<li>Proficiency in Python and data science libraries (pandas, scikit-learn, statsmodels, etc.)</li>\n<li>Experience designing and analysing A/B tests with statistical rigor (sample sizing, significance testing, causal inference)</li>\n<li>Experience building dashboards and visualisations (Hex, Looker, Tableau, Mode, or similar) , ideally automating them</li>\n<li>Demonstrated experience using LLMs/AI tools in analytics workflows , not just prompting, but building automated systems</li>\n<li>Track record of partnering cross-functionally with Marketing, Product, Engineering, Support, and Revenue/Sales teams , not just serving a single stakeholder</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience with modern data stack (dbt, BigQuery, Snowflake, Fivetran, Segment, etc.)</li>\n<li>Background in growth analytics, marketing analytics, or conversion rate optimisation at a SaaS or PLG company</li>\n<li>Experience with marketing technology platforms (Google Analytics, Segment, Iterable, Salesforce)</li>\n<li>Experience with attribution modelling, marketing mix modelling, or incrementality testing</li>\n<li>Experience analysing unstructured customer data (support tickets, reviews, social mentions) using NLP or LLM-based approaches</li>\n<li>Understanding of PLG motions and self-serve conversion funnels</li>\n<li>Experience with support analytics, CSAT analysis, or customer experience measurement</li>\n</ul>\n<p>Bonus Points:</p>\n<ul>\n<li>Experience analysing freemium or usage-based pricing models</li>\n<li>Understanding of developer tools, collaborative coding environments, or technical products</li>\n<li>Experience with causal inference methods (difference-in-differences, synthetic control, propensity score matching)</li>\n<li>Experience building AI agents or automated analytical pipelines using LLM APIs</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_87cfb794-843","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Replit","sameAs":"https://replit.com/","logo":"https://logos.yubhub.co/replit.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/replit/530875e3-39d0-4c3b-ab55-356f387ed284","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$150 – $250,000","x-skills-required":["SQL","Python","data science libraries","A/B testing","dashboard building","LLMs/AI tools","cross-functional collaboration"],"x-skills-preferred":["modern data stack","growth analytics","marketing analytics","conversion rate optimisation","marketing technology platforms","attribution modelling","incrementality testing","NLP","PLG motions","support analytics","CSAT analysis","customer experience measurement"],"datePosted":"2026-04-24T13:13:39.155Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Foster City, CA (Hybrid) In office M,W,F"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Python, data science libraries, A/B testing, dashboard building, LLMs/AI tools, cross-functional collaboration, modern data stack, growth analytics, marketing analytics, conversion rate optimisation, marketing technology platforms, attribution modelling, incrementality testing, NLP, PLG motions, support analytics, CSAT analysis, customer experience measurement","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":250000,"maxValue":250000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_92afbf41-913"},"title":"Senior Data Science Manager","description":"<p>We&#39;re looking for a Senior Data Science Manager to lead the data science powering Mercury&#39;s revenue and product value engine. This team supports Go-To-Market functions across Finance, Marketing, and Sales, drives growth product experimentation across activation and conversion, and partners on core product experiences like Spend, Expense Management, and Invoicing.</p>\n<p>In this role, you&#39;ll define how we measure performance, prioritize investments, and accelerate value creation across the customer lifecycle , with a high bar for rigor and a bias toward execution. You&#39;ll partner closely with Product, Engineering, Marketing, Sales, and Finance to ensure our most important decisions are grounded in trusted data and clear experimentation frameworks.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Lead and develop a team of Data Scientists embedded across go-to-market, growth product, monetization, and core product experiences</li>\n<li>Define the measurement and experimentation strategy across the customer lifecycle , from acquisition and activation to monetization, expansion, and retention , ensuring our investments are grounded in rigorous analysis and trusted data</li>\n<li>Elevate the craft of experimentation, pricing and monetization analytics, and commercial performance measurement, balancing analytical precision with decision velocity</li>\n<li>Partner closely with Product, Marketing, Sales, and Finance to shape roadmaps, evaluate ROI, and guide revenue forecasting and capital allocation decisions</li>\n<li>Translate complex quantitative signals into clear insights that influence product direction and revenue strategy</li>\n<li>Increase team leverage by building scalable analytics systems and self-serve capabilities that power reliable, AI-enabled insights across growth, monetization, and core product experiences</li>\n<li>Operate effectively in ambiguity, setting clear priorities that balance user value, growth, and long-term business impact</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>10+ years of experience, with 3+ years leading high-performing data teams</li>\n<li>Deep experience in growth, monetization, and product analytics, along with a proven track record of partnering with Product, Marketing, Sales, and Finance to shape roadmaps and drive revenue outcomes</li>\n<li>Strong business judgment, with the ability to balance analytical rigor with decision velocity in high-impact commercial environments</li>\n<li>Highly fluent in experimentation design, attribution, and causal inference, with the ability to raise the bar on analytical craft across a team of senior ICs</li>\n<li>Experience building scalable analytics frameworks and self-serve capabilities that increase leverage and support AI-enabled insight generation within growth and product domains</li>\n<li>Thrive in ambiguity, setting clear priorities that balance user value, growth, and long-term business impact</li>\n</ul>\n<p>Total rewards package includes base salary, equity (stock options), and benefits. Salary and equity ranges are highly competitive within the SaaS and fintech industry.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_92afbf41-913","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mercury","sameAs":"https://www.mercury.com/","logo":"https://logos.yubhub.co/mercury.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/mercury/jobs/5973037004","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$239,000 - $298,800 (US employees) or CAD 225,900 - 282,400 (Canadian employees)","x-skills-required":["data science","growth analytics","monetization analytics","commercial performance measurement","experimentation design","attribution","causal inference","scalable analytics systems","self-serve capabilities","AI-enabled insights"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:45:05.709Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Data Science","industry":"Fintech","skills":"data science, growth analytics, monetization analytics, commercial performance measurement, experimentation design, attribution, causal inference, scalable analytics systems, self-serve capabilities, AI-enabled insights","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":225900,"maxValue":298800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_13478b15-329"},"title":"Growth Engineer","description":"<p>We&#39;re looking for a Growth Engineer who blends rapid-fire engineering with product-led growth instincts,someone who can ship code in the morning and close a partnership over coffee in the afternoon.</p>\n<p>You&#39;ll sit at the intersection of engineering, product, and GTM. Your scrappy prototypes, experiments, and content will be the first touchpoint for new creators, studios, and Fortune 500 innovation teams. When you do your job well, the rest of the company feels it in tomorrow&#39;s dashboards.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Spin up lightweight client libraries, demo apps, or event microsites in a few hours.</li>\n<li>Run data-driven experiments. Segment cohorts, design A/B tests, and automate reporting. We have a clear, metric-based view of acquisition cost and activation rate for every segment.</li>\n<li>Draft compelling blog posts, tweets, and teardown threads (zero “AI slop”).</li>\n<li>Our content consistently drives qualified sign-ups and sparks industry conversations.</li>\n<li>Own customer touchpoints: Meet prospects, debug their first calls, and represent fal at meetups and hackathons. Prospects leave every interaction saying, “These folks get it,and ship fast.”</li>\n<li>Identify high-leverage problems, time-box solutions, and ship. After ramp-up, you propose your own roadmap,and we mostly just say “Yes.”</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Prior experience in PLG or developer-tool startups</li>\n<li>Familiarity with growth analytics stacks</li>\n<li>A portfolio of technical writing, open-source libs, or side projects</li>\n</ul>\n<p>Compensation:</p>\n<p>$170,000 - $220,000 + equity + comprehensive benefits package</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_13478b15-329","directApply":true,"hiringOrganization":{"@type":"Organization","name":"fal","sameAs":"https://fal.com","logo":"https://logos.yubhub.co/fal.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/fal/jobs/4009195009","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$170,000 - 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directly impact Replit&#39;s growth by turning user behavior into actionable insights that optimize our marketing efforts, improve conversion funnels, and drive sustainable revenue growth across our self-serve and enterprise segments.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and analyse marketing experiments to optimise campaigns, messaging, and channel performance across email, paid ads, social, and content marketing.</li>\n<li>Build attribution models and multi-touch conversion funnels to understand the customer journey from first touch to paid conversion.</li>\n<li>Develop predictive models to identify high-intent prospects, optimise lead scoring, and improve targeting for paid acquisition campaigns.</li>\n<li>Partner with marketing, growth, and revenue teams to translate business questions into rigorous analysis and clear recommendations.</li>\n<li>Create self-service dashboards and automated reporting that surface key marketing metrics (CAC, LTV, ROAS, conversion rates) for go-to-market teams.</li>\n<li>Build and maintain data pipelines that integrate marketing platforms (Google Ads, Meta, Iterable, Segment, etc.) with our product analytics.</li>\n</ul>\n<p><strong>Examples of what you could do</strong></p>\n<ul>\n<li>Build propensity models to identify which free users are most likely to convert to plans based on usage patterns and engagement signals.</li>\n<li>Analyse cohort behaviour and retention patterns to optimise lifecycle marketing campaigns and reduce churn.</li>\n<li>Develop segmentation models to personalise messaging and targeting for different user personas (students, hobbyists, professional developers, enterprise teams).</li>\n<li>Build real-time alerting systems to flag anomalies in campaign performance or conversion metrics, automate bidding adjustments across platforms.</li>\n</ul>\n<p><strong>Required skills and experience</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science, Statistics, Mathematics, Economics, or related field, OR equivalent real-world experience in data roles.</li>\n<li>4+ years of experience in data science or related roles with a focus on marketing, growth, or business analytics.</li>\n<li>Strong SQL skills and experience working with large datasets, particularly event-level user behaviour data, and designing ETL workflows using dbt</li>\n<li>Proficiency in Python and data science libraries (pandas, scikit-learn, statsmodels, etc.).</li>\n<li>Experience designing and analysing A/B tests and experiments, including statistical rigor around sample sizing, significance testing, and causal inference.</li>\n<li>Experience building dashboards and visualisations (Looker, Tableau, Mode, or similar tools).</li>\n<li>Ability to translate ambiguous business questions into structured analysis and communicate findings clearly to non-technical stakeholders.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience with modern data stack (dbt, 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