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- Tasks: Lead data operations and enhance business intelligence capabilities in a fast-paced environment.
- Company: CGK Linens is a dynamic e-commerce company thriving on data-driven decisions.
- Benefits: Enjoy remote work flexibility, autonomy, and the chance to shape BI strategy.
- Why this job: Join a collaborative team and transform raw data into impactful insights.
- Qualifications: 3+ years in BI/Data Analysis, experience with Amazon Seller Central, and strong SQL skills required.
- Other info: Expect a thorough hiring process with questionnaires and interviews.
The predicted salary is between 28800 - 43200 £ per year.
About the Company:The CGK Linens is a fast-growing e-commerce company selling across Amazon and other platforms. They thrive in a fast-paced, results-driven environment where data is at the heart of their decision-making. As they scale, they’re looking for a sharp and proactive BI Data Analyst to lead their data operations and elevate their business intelligence capabilities.About the Role:We are seeking a highly analytical and communicative Amazon BI Data Analyst with hands-on experience working with Amazon Seller Central data. You will play a critical role in shaping the company’s data strategy and reporting infrastructure. This is a high-impact role where you’ll bridge technical and non-technical teams, ensuring data is clean, accurate, and actionable.This is a Full-Time remote role.We are looking for an Amazon BI Data Analyst specifically with these requirements:3+ years of experience in a BI/Data Analyst or similar roleExperience with Amazon Seller Central data is a strong plusProficiency in SQL, Google Sheets/Excel, and data visualization tools (Power BI or Tableau)Experience working with APIs, ETL pipelines, and data integration toolsExcellent communication skills – able to explain complex data to non-technical stakeholdersComfortable working in a fast-paced, entrepreneurial environmentHighly organized with strong attention to detailYour responsibility will include (but not limited to):Owning and managing the company’s end-to-end data analytics effortsCleaning, structuring, and maintaining data from Amazon and other platformsBuilding dashboards and creating insightful visualizations in Tableau or Power BITranslating business needs into technical requirements and data-driven solutionsCollaborating with cross-functional teams – including marketing, operations, and financeEnsuring data accuracy and consistency across reportingIdentifying trends and patterns to uncover growth opportunitiesProactively recommending actionable insights that drive resultsGrowth Opportunities/Perks:Location-independent role – work from anywhereBe part of a company that values autonomy, ownership, and resultsOpportunity to shape and lead the BI strategy in a fast-growing companyWork alongside a strategic, cross-functional teamThis Position Is Perfect For You If…You thrive on structuring and analyzing data.You enjoy working with complex datasets, especially from platforms like Amazon Seller Central, and take pride in cleaning, organizing, and transforming raw data into meaningful insights.You\’re a visual storyteller.You’re skilled at building clear, actionable dashboards using tools like Power BI or Tableau, helping teams make informed decisions at a glance.You’re proactive and detail-oriented.You take ownership of your work, double-check your outputs, and are always thinking ahead, identifying opportunities, fixing data gaps, and suggesting better ways to report.Our hiring process is made up of four parts, so please be aware that you will need to dedicate time for a questionnaire, a video, and two 1-on-1 interviews.Thank you for taking the time to consider this position. I look forward to hearing from you soon
Amazon Business Intelligence Data Analyst [363] employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Amazon Business Intelligence Data Analyst [363]
✨Tip Number 1
Familiarise yourself with Amazon Seller Central data. Since this role specifically requires experience with this platform, understanding its metrics and reporting features will give you a significant edge during discussions.
✨Tip Number 2
Brush up on your SQL skills. As a BI Data Analyst, you'll be expected to manipulate and query data effectively, so being able to demonstrate your proficiency in SQL during the interview will be crucial.
✨Tip Number 3
Prepare to showcase your data visualisation skills. Be ready to discuss examples of dashboards you've created using Power BI or Tableau, as this will highlight your ability to translate complex data into actionable insights.
✨Tip Number 4
Practice explaining technical concepts to non-technical stakeholders. Since communication is key in this role, think of ways to simplify complex data findings and prepare to demonstrate this skill during your interviews.
We think you need these skills to ace Amazon Business Intelligence Data Analyst [363]
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Amazon Seller Central data and your proficiency in SQL, Google Sheets/Excel, and data visualisation tools like Power BI or Tableau. Use specific examples to demonstrate your skills.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data analysis and how your background aligns with the company's needs. Mention your ability to communicate complex data to non-technical stakeholders, as this is crucial for the role.
Showcase Relevant Projects: If you have worked on projects involving data cleaning, structuring, or building dashboards, be sure to include these in your application. Highlight any specific outcomes or insights that resulted from your work.
Prepare for Interviews: Since the hiring process includes a questionnaire, video, and two interviews, prepare by practising answers to common data analyst questions. Be ready to discuss your experience with APIs, ETL pipelines, and how you approach data-driven decision-making.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Google Sheets/Excel, and data visualisation tools like Power BI or Tableau. Bring examples of dashboards you've created or data projects you've worked on to demonstrate your proficiency.
✨Understand Amazon Seller Central Data
Since the role specifically mentions Amazon Seller Central data, make sure you have a solid understanding of how this platform works. Familiarise yourself with common metrics and reporting practices used in e-commerce to show that you can hit the ground running.
✨Communicate Clearly
You’ll need to explain complex data to non-technical stakeholders, so practice articulating your thoughts clearly and concisely. Use simple language and relatable examples to ensure everyone understands your insights.
✨Demonstrate Proactivity and Attention to Detail
Prepare to discuss instances where you identified trends or gaps in data and took initiative to address them. Highlight your organisational skills and how you ensure data accuracy, as these traits are crucial for the role.