# Data Analyst, Operations — Junior — Bearaby

Canonical: https://jobxdubai.com/jobs/li-4442992588-data-analyst-operations-junior
Location: Dubai, UAE
Type: full_time · Level: junior
Monthly salary: AED 9,000 to 14,000 per month (estimated, not employer-stated) (UAE salaries are tax-free)
Posted: 2026-07-22
Apply: https://www.linkedin.com/jobs/view/data-analyst-operations-%E2%80%94-junior-at-bearaby-4442992588?_l=en

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## Description

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 role
Data Analyst, Operations — Junior

Dubai, 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 do

• Build 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 datasets

• Write SQL queries (BigQuery) to explore sales, spend, and inventory data across our DTC and marketplace channels

• Automate recurring reports and dashboards for Operations and Marketing — cutting down manual, repetitive work

• Reconcile numbers across sources (e.g., Shopify orders vs. ad-platform spend vs. our finance sheets) and flag discrepancies early

• Turn business questions into analyses — clear charts, tables, and takeaways the team can act on

• Document data flows and reports so the team can rely on them and reproduce them

• Support Operations projects — analyzing current processes and helping identify improvements

What you bring

• Bachelor’s degree — STEM or a quantitative field preferred

• 0–3 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 APIs

• Foundational SQL and strong, advanced Excel / Google Sheets skills

• A basic understanding of e-commerce or consumer-goods business operations

• Detail-oriented and genuinely curious — you want to know why the numbers say what they say

Nice to have

• Exposure to REST or GraphQL APIs (authentication, pagination, rate limits)

• Familiarity with Shopify data, ad-platform reporting (Meta / Google), or Amazon Seller data

• Experience with BigQuery or another cloud data warehouse

• A data-viz tool (Looker Studio, Power BI, Tableau) or Airtable

Who you are

• Proactive and data-oriented, with a knack for articulating what’s possible and moving fast to make it real

• A clear communicator, both written and verbal

• A team player with a self-starter spirit who builds strong working relationships

• Comfortable asking questions and learning quickly in a fast-moving DTC environment

What we offer

• Competitive salary

• Health insurance coverage, including dental

• Paid annual leave

• Your birthday off

• A collaborative, fast-moving team and the chance to shape a data-driven culture from the ground up

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## Requirements

Bachelor’s degree — STEM or a quantitative field preferred
0–3 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 APIs
Foundational SQL and strong, advanced Excel / Google Sheets skills
A basic understanding of e-commerce or consumer-goods business operations
Detail-oriented and genuinely curious — you want to know why the numbers say what they say

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