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Junior Data Analyst - Operations

Bearaby

Dubai, United Arab Emirates · 全职

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经验
最长3年
薪水
职位空缺
1
发布
2小时前
工作模式
在办公室
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学士学位
恢复
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职位描述

About Bearaby

Bearaby is a renowned Direct to Consumer (DTC) company dedicated to providing comfort and calm through innovative products like weighted blankets. We focus on sustainable production, using organic and upcycled materials, aiming to promote natural, rest-based wellness without reliance on drugs. Our mission also includes challenging negative perceptions surrounding rest habits to foster a more relaxed society.

Position Summary

We are seeking a Junior Data Analyst to join our Operations team based in Dubai. This full-time role collaborates closely with Marketing to foster a data-driven culture by transforming raw data from various e-commerce, marketplace, and advertising platforms into actionable insights and reliable reports. It is an excellent opportunity for early-career professionals skilled in Python who enjoy managing complex datasets and aspire to manage analytics comprehensively.

Responsibilities

  • Develop and sustain Python scripts to extract data from Shopify stores, Meta Ads, Google Ads, Amazon, and Google Sheets, consolidating it into clean datasets suitable for analysis.
  • Create SQL queries using BigQuery to analyze sales, advertising expenditures, and inventory across direct and marketplace sales channels.
  • Automate routine reports and dashboards to reduce manual labor in Operations and Marketing departments.
  • Cross-check data accuracy among different sources such as Shopify order records, advertising expenditures, and financial documents, highlighting inconsistencies promptly.
  • Translate business inquiries into actionable analyses with clear visualizations and summaries.
  • Document data pipelines and reporting processes to ensure reliability and ease of reproduction.
  • Support operations projects by reviewing existing procedures and suggesting enhancements.

Qualifications

  • Bachelor’s degree, preferably in STEM or a quantitative discipline.
  • Entry to moderate experience (0–3 years), including internships or substantial personal projects in data, analytics, or operations roles.
  • Proficient in Python data libraries such as pandas, with eagerness to develop API integration skills.
  • Basic SQL knowledge and advanced capabilities in Excel and Google Sheets.
  • Working understanding of e-commerce or consumer goods business processes.
  • Strong attention to detail and a natural inquisitiveness towards data insights.

Preferred Skills

  • Knowledge of REST or GraphQL APIs, including handling authentication and pagination.
  • Experience with Shopify, Meta and Google advertising data, or Amazon Seller platform data.
  • Familiarity with cloud data warehouses like BigQuery.
  • Exposure to data visualization tools such as Looker Studio, Power BI, Tableau, or Airtable.

Personal Attributes

  • Proactive and data-focused, able to clearly articulate possibilities and rapidly implement solutions.
  • Effective communicator in both written and verbal contexts.
  • A collaborative team player who initiates tasks and builds strong professional relationships.
  • Adaptable learner thriving in a dynamic DTC business environment.

Benefits

  • Competitive remuneration package.
  • Comprehensive health insurance including dental coverage.
  • Paid annual leave entitlements.
  • Birthday leave granted annually.
  • A dynamic and supportive team environment with opportunities to influence the company’s data culture.

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