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- Tasks: Transform data into insights and solve complex business problems.
- Company: Join a dynamic team focused on scaling data solutions for Japan and Singapore.
- Benefits: Enjoy a hybrid work model with competitive pay of £500 per day.
- Why this job: Be part of a fast-paced environment that values data-driven decision-making and innovation.
- Qualifications: Experience with Redshift, Oracle, NoSQL, and data visualization tools like Tableau is essential.
- Other info: This is a 12-month placement with opportunities to impact key business metrics.
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
Please make an application promptly if you are a good match for this role due to high levels of interest.
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 luke.sandilands@cpl.com
Business Intelligence Engineer II employer: Cpl Life Sciences
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
Familiarize yourself with the specific data tools mentioned in the job description, such as Redshift, Oracle, and NoSQL. Having hands-on experience or projects that showcase your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Since the role involves working closely with stakeholders, practice your communication skills. Be prepared to discuss how you've gathered requirements and delivered reporting solutions in previous roles, as this will demonstrate your ability to interface effectively with clients.
✨Tip Number 3
Highlight any experience you have in the groceries or retail sector. If you can provide examples of how you've used data to drive business decisions in this industry, it will show that you understand the unique challenges and opportunities within this field.
✨Tip Number 4
Prepare to discuss your experience with data visualization tools like Tableau or QuickSight. Being able to demonstrate how you've created user-friendly dashboards or reports will be crucial, as the role emphasizes the importance of 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 your experience with data analysis and interpretation, especially with tools like Redshift, Oracle, and NoSQL. Emphasize any relevant experience in the Groceries or Retail sector.
Craft a Strong Cover Letter: In your cover letter, express your passion for transforming data into actionable insights. Mention specific examples of how you've used data to solve complex business problems in previous roles.
Showcase Technical Skills: Clearly outline your technical skills related to data visualization tools such as Tableau or QuickSight, and your proficiency in SQL. Provide examples of projects where you utilized these skills effectively.
Highlight Collaboration Experience: Since the role involves interfacing with customers and stakeholders, include examples of how you've successfully gathered requirements and supported end-to-end reporting solutions in past positions.
How to prepare for a job interview at Cpl Life Sciences
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data analysis tools like Redshift, Oracle, and NoSQL. Highlight specific projects where you transformed data into actionable insights, especially in the groceries or retail sector.
✨Demonstrate Problem-Solving Abilities
Prepare examples of complex business problems you've solved using data-driven approaches. Discuss how you designed and implemented automated systems or dashboards that improved business processes.
✨Engage with Stakeholders
Since the role involves interfacing with customers and stakeholders, practice articulating how you gather requirements and support end-to-end reporting solutions. Show that you can communicate technical concepts clearly to non-technical audiences.
✨Highlight Continuous Improvement Mindset
Discuss your experience in maintaining data integrity and performing QA audits. Share examples of how you've improved reporting processes or automated tasks to enhance efficiency and accuracy.
