Data Analyst, Operations — Junior

Who WE are:Bearaby is an award-winning Direct to Consumer (DTC) company on a mission to bring comfort and relief to people of all ages who are searching for calm in a complex world. We create beautiful and functional products, including our flagship weighted blankets, that are sustainably manufactured from organic materials and innovative upcycled fabrics - loom to lap. We believe that restorative rest should be simple, natural, and drug-free - and that it's time to ditch the negative stigmas around healthy habits like napping and sleeping-in for a calmer, more collected world.The roleData Analyst, Operations — JuniorDubai, UAE  ·  Full-time ·  Operations team (working closely with Marketing)We’re looking for a Junior Data Analyst to join our Operations team and help build a data-driven culture across the business. You’ll work at the intersection of Operations and Marketing, turning raw data from our e-commerce, marketplace, and advertising platforms into clean, reliable reporting and insight. This is a hands-on role for someone early in their career who codes in Python, loves untangling messy data, and wants to grow into owning analytics end-to-end. You’ll learn our full data stack and have real impact from day one.You’ll work across our real data stack: multiple Shopify storefronts, Amazon, paid media on Meta and Google, Google Sheets, and a BigQuery warehouse — stitched together with Python.What you’ll doBuild and maintain Python scripts that pull data from our Shopify stores, ad platforms (Meta Ads, Google Ads), Amazon, and internal Google Sheets, and combine it into clean, analysis-ready datasetsWrite SQL queries (BigQuery) to explore sales, spend, and inventory data across our DTC and marketplace channelsAutomate recurring reports and dashboards for Operations and Marketing — cutting down manual, repetitive workReconcile numbers across sources (e.g., Shopify orders vs. ad-platform spend vs. our finance sheets) and flag discrepancies earlyTurn business questions into analyses — clear charts, tables, and takeaways the team can act onDocument data flows and reports so the team can rely on them and reproduce themSupport Operations projects — analyzing current processes and helping identify improvementsWhat you bringBachelor’s degree — STEM or a quantitative field preferred0–3 years of experience in a data, analytics, or operations role (internships and strong personal projects count)Working knowledge of Python for data — comfortable with pandas and reading/writing data, and eager to learn how to call APIsFoundational SQL and strong, advanced Excel / Google Sheets skillsA basic understanding of e-commerce or consumer-goods business operationsDetail-oriented and genuinely curious — you want to know why the numbers say what they sayNice to haveExposure to REST or GraphQL APIs (authentication, pagination, rate limits)Familiarity with Shopify data, ad-platform reporting (Meta / Google), or Amazon Seller dataExperience with BigQuery or another cloud data warehouseA data-viz tool (Looker Studio, Power BI, Tableau) or AirtableWho you areProactive and data-oriented, with a knack for articulating what’s possible and moving fast to make it realA clear communicator, both written and verbalA team player with a self-starter spirit who builds strong working relationshipsComfortable asking questions and learning quickly in a fast-moving DTC environmentWhat we offerCompetitive salaryHealth insurance coverage, including dentalPaid annual leaveYour birthday offA collaborative, fast-moving team and the chance to shape a data-driven culture from the ground up