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For Companies At a Glance
- Tasks: Drive data insights and reporting for Prime Video, enhancing decision-making.
- Company: Join a leading entertainment platform that values data-driven decisions.
- Benefits: Enjoy a hybrid work model and competitive pay of up to £350 a day.
- Why this job: Be part of a dynamic team solving complex problems with data analytics.
- Qualifications: Experience in SQL, data visualization, and ETL processes is essential.
- Other info: This role is inside IR35 and offers a 6-month contract.
The predicted salary is between 60000 - 84000 £ per year.
Business Intelligence Engineer II
Hybrid – London
Up to £350 a day
Inside IR35
6 Months
Key Skills:
SQL
Experience in Data or BI space
Experience with a virtualization tools, good understanding of data
Key job responsibilities
The successful candidate will thrive in a data driven environment that it driven to deliver insights that is timely, accurate and actionable to aid decision support. Motivated by solving complex problems and excited about using data analytics to drive a business forward, the successful candidate will relish the opportunity of driving forward Prime Video\’s analytics to the next level. Some of the key responsibilities of this role will include:
• Own business-critical reporting that is leveraged globally by hundreds of users; from developing and maintaining large-scale data structures and ETL pipelines to creating reporting in Quicksight or Excel.
• Gather business requirements from key stakeholders in Finance and Business teams, and translate into scalable and automated solutions.
• Provide informed analysis, insight and recommendations around our business metrics to drive optimisation and more effective decision making.
• Build strong relationships with the Data Engineering and Core Analytics Tooling teams to enhance upstream data sources and develop data processes to enable more scalable and accurate reporting.
Basic qualifications
Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R, SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience with SQL
Experience in the data/BI space
Preferred qualifications
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
If you are interested please apply or send your CV to
Contact Detail:
Cpl Life Sciences Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Engineer II
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as SQL, Quicksight, and any AWS solutions. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the Business Intelligence field, especially those who work with Prime Video or similar companies. Engaging in conversations about industry trends and challenges can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your problem-solving approach during interviews. Be ready to share specific examples of how you've used data analytics to drive business decisions or optimise processes in previous roles.
✨Tip Number 4
Showcase your ability to gather and translate business requirements into technical solutions. Consider preparing a case study or example where you successfully collaborated with stakeholders to deliver actionable insights.
We think you need these skills to ace Business Intelligence Engineer II
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in SQL, data analysis, and business intelligence. Use keywords from the job description to demonstrate that you meet the qualifications.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and problem-solving. Mention specific projects or experiences that align with the responsibilities of the Business Intelligence Engineer II role.
Showcase Technical Skills: Emphasise your experience with data visualization tools like Tableau or Quicksight, and any familiarity with AWS solutions. Provide examples of how you've used these skills in previous roles.
Highlight Collaboration Experience: Since the role involves working with various teams, include examples of how you've successfully collaborated with stakeholders in past positions. This will demonstrate your ability to gather requirements and translate them into actionable insights.
How to prepare for a job interview at Cpl Life Sciences
✨Showcase Your SQL Skills
Since SQL is a key requirement for this role, be prepared to discuss your experience with it in detail. Bring examples of complex queries you've written and how they contributed to business insights.
✨Demonstrate Data Visualisation Expertise
Familiarity with tools like Tableau or Quicksight is essential. Prepare to discuss specific projects where you used these tools to create impactful visualisations that aided decision-making.
✨Understand the Business Context
Make sure you grasp the business implications of the data you're working with. Be ready to explain how your analyses have driven optimisation and informed strategic decisions in previous roles.
✨Build Relationships with Stakeholders
This role involves gathering requirements from various teams. Highlight your experience in collaborating with stakeholders and how you translated their needs into actionable data solutions.
