{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/title/analytics-engineer"},"x-facet":{"type":"title","slug":"analytics-engineer","display":"Analytics Engineer","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_8ea1c59a-b10"},"title":"Analytics Engineer","description":"<p><strong>About the role</strong></p>\n<p>Behind many of life&#39;s most important transactions , buying a house, applying for a mortgage, getting a small business loan, or refinancing a credit card , is a network of credit relationships. Setpoint provides critical infrastructure for relationships between the world&#39;s largest banks, credit funds and capital markets counterparties.</p>\n<p>We are looking for an Analytics Engineer to join our team supporting our external data products. In this position, you will be reporting into our Head of Analytics and partnering closely with engineering, product, and implementation teams to build and maintain the data infrastructure that powers our products. This is a hands-on role where you&#39;ll design and maintain data pipelines, create dashboards, and work directly with stakeholders to deliver insights that drive business outcomes.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own end-to-end implementations for the data products for our external customers.</li>\n<li>Build and maintain scalable data pipelines and analytics models using Python, DBT, and SQL.</li>\n<li>Create and manage dashboards in our external and internal analytics products so stakeholders have actionable insights.</li>\n<li>Prototype new data products to add to our product suite.</li>\n<li>Collaborate with engineering to drive the roadmap for the data products.</li>\n<li>Use GitHub-based workflows to maintain clean, version-controlled analytics code.</li>\n<li>Act as a subject matter expert for analytics best practices.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>5+ years of experience in analytics engineering, data engineering, or a similar technical role.</li>\n<li>Proven expertise DBT, SQL, and GitHub-based development. Python is a plus.</li>\n<li>Strong experience designing, implementing, and maintaining data pipelines and models.</li>\n<li>Experience in a customer-facing role, working with technical and business stakeholders.</li>\n<li>Experience working with asset managers, business owners, or financial services data sets is a plus.</li>\n<li>Excellent problem-solving, communication, and collaboration skills.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salaries</li>\n<li>Stock options</li>\n<li>Medical, dental, and vision coverage</li>\n<li>401(k)</li>\n<li>Short term and long term disability coverage</li>\n<li>Flexible vacation</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<p>$150,000 - $170,000 OTE dependent on multiple factors, which may include the candidate&#39;s skills, experience, location, and other qualifications.</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_8ea1c59a-b10","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Setpoint","sameAs":"https://setpoint.com","logo":"https://logos.yubhub.co/setpoint.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/setpoint/jobs/4801438007","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$150,000 - $170,000","x-skills-required":["Python","SQL","DBT","GitHub","Data engineering","Analytics engineering"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:57:45.110Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin or New York (Hybrid)"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"Python, SQL, DBT, GitHub, Data engineering, Analytics engineering","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":150000,"maxValue":170000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_366de878-041"},"title":"Analytics Engineer","description":"<p><strong>About the Role</strong></p>\n<p>As one of Cursor&#39;s first Analytics Engineers, you&#39;ll work hands-on across the entire stack to build data products and drive strategic decisions across product, GTM, and research. You&#39;ll partner directly with founders and area leads on critical questions, collaborating with stakeholders who are eager to jump into SQL and dbt. Through this collaboration, you&#39;ll pioneer the next frontier of data: defining how Cursor itself transforms data science by building a data stack around Cursor Agent for self-serve analytics.</p>\n<ul>\n<li>Read our blogpost on measuring the impact of Semantic Search: https://cursor.com/blog/semsearch</li>\n</ul>\n<p><strong>What you&#39;ll do</strong></p>\n<ul>\n<li>Partner with area leads in Finance, Growth, Product, and Agent Quality to understand their data needs and build foundational datasets.</li>\n<li>Up-level our data stack by evaluating new tooling and AI integrations, while partnering with Data Infra and product engineers to maximise the impact of existing tooling.</li>\n<li>Ensure the quality and reliability of data in our warehouse.</li>\n<li>Help guide a vibrant self-serve data culture to make self-serve insights accessible and trustworthy.</li>\n<li>Establish data culture and foundations as an early member of the data team and our first analytics engineer.</li>\n</ul>\n<p><strong>You may be a fit if</strong></p>\n<ul>\n<li>You have at least <strong>4+ years</strong> of full-time analytics engineering experience.</li>\n<li>You&#39;ve been an early data member at a hyper-growth startup or research org. You know how to scale data from 10 to 50 data scientists.</li>\n<li>You&#39;ve optimised queries for speed and cost on datasets that grow by billions of rows per day.</li>\n<li>You can write SQL and Python in your sleep.</li>\n<li>You care deeply about accuracy and detail.</li>\n<li>You&#39;re excited about the modern data stack and self-serve data.</li>\n<li>You&#39;re excited to build data products end to end, even if it requires going outside the original job description.</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_366de878-041","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cursor","sameAs":"https://cursor.com","logo":"https://logos.yubhub.co/cursor.com.png"},"x-apply-url":"https://cursor.com/careers/data-engineer-analytics","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","Python","dbt","Data Infra","AI integrations"],"x-skills-preferred":["Modern data stack","Self-serve data","Data culture"],"datePosted":"2026-03-08T00:15:06.069Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Python, dbt, Data Infra, AI integrations, Modern data stack, Self-serve data, Data culture"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_488a9635-1bc"},"title":"Analytics Engineer","description":"<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Data Science</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$234K – $335K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the Role</strong></p>\n<p>As an early member of our Data team within the Go-To-Market (GTM) organization, you will play a pivotal role in building a data-centric culture, enhancing decision-making processes, and driving strategic initiatives through analytics. This role involves a variety of projects aimed at developing canonical data sources and dashboards that enable the business to derive trustworthy, actionable insights. Most importantly, you should expect to be a core member of the GTM team, helping to bring our technology to a wide range of customers and supporting our self serve and sales led motions.</p>\n<p>This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Embed with the GTM team as a trusted partner, identifying high-impact analytics problems and pioneering data-driven solutions.</li>\n</ul>\n<ul>\n<li>Establish a data-driven culture by driving the definition, tracking, and operationalizing of metrics</li>\n</ul>\n<ul>\n<li>Manage cross-functional data projects about revenue, pricing, sales, product, marketing, growth, and other topics core to the business.</li>\n</ul>\n<ul>\n<li>Create scalable pipelines for data collection, cleaning, and analysis from multiple sources, and manage the lifecycle of metrics and models from prototyping to production.</li>\n</ul>\n<ul>\n<li>Develop and refine tools such as dashboards and reports that empower the team to extract and analyze data independently.</li>\n</ul>\n<ul>\n<li>Conduct analyses to uncover insights and inform key decisions.</li>\n</ul>\n<ul>\n<li>Use presentations, memos, and tools to communicate complex data insights clearly and persuasively across the organization.</li>\n</ul>\n<p><strong>You might thrive in this role if you are/have:</strong></p>\n<ul>\n<li>Over 10 years of experience in a relevant Data role within dynamic, outcome-driven organizations.</li>\n</ul>\n<ul>\n<li>Highly skilled in SQL, with extensive experience extracting large datasets and designing ETL workflows.</li>\n</ul>\n<ul>\n<li>Proficient in quantitative programming languages, Python preferred.</li>\n</ul>\n<ul>\n<li>Experienced in using business intelligence tools, such as Tableau and Looker, to communicate insights and enable self-serve.</li>\n</ul>\n<ul>\n<li>Familiar with advanced custom visualizations, such as streamlit and plotly dash.</li>\n</ul>\n<ul>\n<li>Adept at crafting clear data stories using decks, memos, and dashboards to drive decision-making at every level.</li>\n</ul>\n<ul>\n<li>Best-in-class attention to detail and unwavering commitment to accuracy.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to build effective partnerships across diverse teams and influence decision making with data.</li>\n</ul>\n<ul>\n<li>Proven track record of delivering significant business impact, with a solid track record in Sales, Marketing, Finance, Growth, Support, or other GTM-related areas preferred.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</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_488a9635-1bc","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/3b4ffc44-c818-4ff1-9d1e-d0acf46f1976","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$234K – $335K • Offers Equity","x-skills-required":["SQL","Python","Tableau","Looker","streamlit","plotly dash"],"x-skills-preferred":["ETL workflows","data visualization","data storytelling"],"datePosted":"2026-03-06T18:22:46.200Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Python, Tableau, Looker, streamlit, plotly dash, ETL workflows, data visualization, data storytelling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":234000,"maxValue":335000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_203c39f0-768"},"title":"Analytics Engineer","description":"<p>We&#39;re looking for someone who&#39;s been a great data scientist, analytics engineer, or data engineer - the kind of person who knows which metric actually matters, who can design an A/B test that answers the real question, who&#39;s gone deep on a data model because something didn&#39;t add up - and who has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done.</p>\n<p><strong>What you&#39;ll do</strong></p>\n<ul>\n<li>Accelerate the AI-native data workflow - the team is already working this way. You&#39;ll take what&#39;s working and turn it into repeatable systems, scalable tools, and patterns that the data team and the entire company can adopt</li>\n</ul>\n<ul>\n<li>Build AI agents that do data science - not just answer SQL questions, but conduct end-to-end analyses: explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations</li>\n</ul>\n<p><strong>What you need</strong></p>\n<ul>\n<li>6-8+ years in data science, analytics engineering, or a related role - you&#39;ve been in the data trenches</li>\n</ul>\n<ul>\n<li>Strong product sense - you&#39;ve worked closely with product and business teams, you understand what drives user behavior, and you have good instincts for what to measure and what to build</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_203c39f0-768","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Perplexity","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/perplexity.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/perplexity/fed8d2c4-9c82-43ad-a168-434146c759ff","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$210K - $330K","x-skills-required":["SQL expertise","pipeline experience","software engineering chops"],"x-skills-preferred":["experience with dbt","Snowflake administration and optimization","background in AI agent frameworks"],"datePosted":"2026-03-04T12:26:37.066Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL expertise, pipeline experience, software engineering chops, experience with dbt, Snowflake administration and optimization, background in AI agent frameworks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":210000,"maxValue":330000,"unitText":"YEAR"}}}]}