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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cbafe9f0-ca5"},"title":"Merchant Intelligence Team Member","description":"<p><strong>About the Role</strong></p>\n<p>We&#39;re looking for a skilled Merchant Intelligence Team Member to join our team at Constructor. As a key member of our Merchant Intelligence team, you will play a critical role in helping merchandizers achieve their ecommerce goals, increasing satisfaction with their sites and retention of customers.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Enhance the dashboard experience for merchandizers by building analytics that provide actionable insights to improve e-commerce KPIs.</li>\n<li>Perform data exploration and research user behavior.</li>\n<li>Implement end-to-end data pipelines to support real-time analytics for essential business metrics.</li>\n<li>Take part in product research and development, iterate with prototypes and customer product interviews.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>You are proficient in BI tools (both data analysis and building dashboards for engineers and non-technical folks).</li>\n<li>You are keen to not just prepare more data, but to think critically about how that data can deliver valuable insights and drive impactful decisions for non-technical end users.</li>\n<li>You are an excellent communicator with the ability to translate business requests into technical language and vice versa.</li>\n<li>You are excited to leverage massive amounts of data to drive product innovation and deliver business value.</li>\n<li>You are proficient at SQL (any variant) and well-versed in exploratory data analysis with Python (pandas &amp; numpy, data visualization libraries)</li>\n<li>Practical familiarity with the big data stack (Spark, Hive, Databricks).</li>\n<li>You are adept at fast prototyping and providing analytical support for initiatives in the e-commerce space by identifying and focusing on relevant features and metrics.</li>\n<li>You are willing to develop and maintain effective communication tools to report business performance and inform decision-making at a cross-functional level.</li>\n<li>You get excited to hear feedback from customers and figure out potential solutions.</li>\n<li>You&#39;re familiar with math statistics.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year</li>\n<li>Fully remote team - choose where you live</li>\n<li>Work from home stipend! We want you to have the resources you need to set up your home office</li>\n<li>Apple laptops provided for new employees</li>\n<li>Training and development budget for every employee, refreshed each year</li>\n<li>Maternity &amp; Paternity leave for qualified employees</li>\n<li>Work with smart people who will help you grow and make a meaningful impact</li>\n<li>Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results</li>\n<li>Stock options - offered in addition to the base salary</li>\n<li>Regular team offsites to connect and collaborate</li>\n</ul>\n<p><strong>Diversity, Equity, and Inclusion at Constructor</strong></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_cbafe9f0-ca5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Constructor","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/84CF443B3D","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$80k–$120k USD","x-skills-required":["BI tools","SQL","Python","pandas & numpy","data visualization libraries","Spark","Hive","Databricks"],"x-skills-preferred":["math statistics"],"datePosted":"2026-03-09T10:57:38.303Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"BI tools, SQL, Python, pandas & numpy, data visualization libraries, Spark, Hive, Databricks, math statistics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":80000,"maxValue":120000,"unitText":"YEAR"}}}]}