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Business Intelligence Engineer (In Stock), Amazon Fresh

Amazon

London

On-site

GBP 45,000 - 80,000

Full time

30+ days ago

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Job summary

An innovative firm seeks a proactive Business Intelligence Engineer to transform data into actionable insights. This role involves designing key datasets, developing automated reporting systems, and collaborating with stakeholders to drive improvements in business processes. You will dive deep into data, utilizing SQL and visualization tools to generate reports that inform decision-making. Join a dynamic team in London, where your analytical skills will contribute to enhancing operational efficiency and supporting data-driven strategies. If you're passionate about data and eager to make a significant impact, this opportunity is perfect for you.

Qualifications

  • Experience in analyzing and interpreting data with various databases.
  • Strong skills in data visualization and statistical methods.

Responsibilities

  • Design and support in-stock datasets for actionable business insights.
  • Develop and maintain automated reporting systems and dashboards.

Skills

SQL
Data Visualization
Data Analysis
Redshift
Oracle
NoSQL
Tableau
Excel

Education

Bachelor's degree
Master's degree or Advanced technical degree

Tools

Tableau
QuickSight
PowerBI
MicroStrategy

Job description

Business Intelligence Engineer (In Stock), Amazon Fresh

Do you enjoy transforming data into actionable insights and taking a data-driven approach to solving complex business problems? Amazon Fresh is looking for a pro-active Business Intelligence Engineer with strong technical and analytical skills. We are currently looking for a BIE to be located in London who will work with partners in the UK In-stock Management team.

Key job responsibilities:

  1. Design, implement, and support key in-stock datasets that provide structured and timely access to actionable business information addressing stakeholder needs.
  2. Dive deep into In-Stock processes such as shrink management or availability tracking, working with experienced In-Stock Managers to troubleshoot issues and build bespoke reports.
  3. Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our business needs.
  4. Participate in developing BIE roadmaps. Interface directly with customers and stakeholders, gathering requirements and supporting end-to-end reporting solutions.
  5. Participate in developing department KPI’s and operational metrics to drive improvements in automation and robotics projects.
  6. Develop complex queries for ad-hoc requests and projects, as well as ongoing reporting.
  7. Deep dive into large data sets to answer key business questions using SQL, Excel, and other data manipulation languages.
  8. Maintain data integrity, perform QA Audits and diligently troubleshoot issues.
  9. Continually improve ongoing reporting and analysis processes, while automating or simplifying self-service support and access to authoritative data sets.
  10. Generate daily, weekly, and monthly data reports for both internal and external business reviews.
  11. Respond with urgency to high priority requests from senior business leaders.

Minimum Qualifications:

  1. Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
  2. Experience with data visualization using Tableau, Quicksight, or similar tools.
  3. Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared).
  4. Experience with SQL.
  5. Experience in the data/BI space.

Preferred Qualifications:

  1. Master's degree or Advanced technical degree.
  2. Knowledge of data modeling and data pipeline design.
  3. Experience with statistical analysis, co-relation analysis.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/content/en/how-we-hire/accommodations.

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