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- Tasks: Design and maintain cloud-based BI solutions, create dashboards, and collaborate with developers.
- Company: Join Opplæringskontoret for Offshore fag, a leader in innovative training solutions.
- Benefits: Enjoy flexible remote work, competitive pay, and potential contract extensions.
- Why this job: Be part of a long-term project that values your skills and fosters collaboration.
- Qualifications: 3-5 years experience in BI, proficiency in SQL, and knowledge of cloud tools required.
- Other info: This role offers a dynamic work environment with opportunities for growth.
The predicted salary is between 90000 - 110000 £ per year.
Join to apply for the Cloud Business Intelligence Engineer role at Opplæringskontoret for Offshore fag.
Location: London, 1-2 days per week. 4 Month contract initially, with good scope for extension. Salary: £450 - £500 per day (Umbrella-PAYE).
Our client is seeking a Cloud Business Intelligence Engineer for a long-term project.
Requirements:- 3 to 5 years' experience.
- Skills in creating dashboards and reports.
- Collaborating with front-end developers for web-based visualizations.
- Design, develop, and maintain cloud-based BI solutions.
- Create and manage data models, dashboards, and reports using cloud platforms.
- Collaborate with stakeholders to understand business needs and translate them into scalable cloud solutions.
- Perform data analysis to support decision-making, leveraging cloud data services.
- Ensure data accuracy, integrity, and security within cloud environments.
- Proficiency in SQL and cloud data warehousing (e.g., Amazon Redshift, Google BigQuery).
- Experience with cloud BI tools (e.g., Power BI, Tableau, Looker).
- Strong analytical and problem-solving skills focused on cloud data solutions.
- Knowledge of ETL processes and cloud data integration (e.g., AWS Glue, Azure Data Factory).
- Excellent communication and teamwork skills, especially in remote teams.
This is a great opportunity on a long-running program. Apply now by submitting your CV for direct consideration.
Cloud Business Intelligence Engineer employer: Oof
Contact Detail:
Oof Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Business Intelligence Engineer
✨Tip Number 1
Familiarise yourself with the specific cloud platforms mentioned in the job description, like Amazon Redshift and Google BigQuery. Having hands-on experience or relevant projects to discuss can really set you apart during any conversations.
✨Tip Number 2
Brush up on your SQL skills and be prepared to demonstrate your ability to create complex queries. You might even want to prepare a few examples of dashboards or reports you've created in the past using BI tools like Power BI or Tableau.
✨Tip Number 3
Showcase your collaboration skills by preparing examples of how you've worked with front-end developers or stakeholders in previous roles. Being able to communicate effectively in remote teams is crucial, so think of specific instances where you’ve successfully navigated these dynamics.
✨Tip Number 4
Research the company and its projects to understand their business needs better. Tailoring your discussions to align with their goals will demonstrate your genuine interest and help you stand out as a candidate who can contribute meaningfully from day one.
We think you need these skills to ace Cloud Business Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in cloud-based BI solutions, SQL proficiency, and familiarity with tools like Power BI or Tableau. Use specific examples to demonstrate your skills in creating dashboards and reports.
Craft a Compelling Cover Letter: Write a cover letter that addresses the key responsibilities and skills mentioned in the job description. Explain how your background aligns with their needs and express your enthusiasm for the role and the company.
Showcase Relevant Projects: If you have worked on relevant projects, include them in your application. Describe your role, the technologies used, and the impact of your work, especially in terms of data analysis and collaboration with stakeholders.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Oof
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL and cloud data warehousing during the interview. Be prepared to discuss specific projects where you've used tools like Amazon Redshift or Google BigQuery, as well as any cloud BI tools such as Power BI or Tableau.
✨Demonstrate Collaboration Experience
Since the role involves working closely with front-end developers and stakeholders, share examples of past collaborations. Discuss how you translated business needs into technical solutions and how you ensured effective communication within remote teams.
✨Prepare for Data Analysis Questions
Expect questions that assess your analytical and problem-solving skills. Be ready to explain your approach to data analysis and how you leverage cloud data services to support decision-making. Use real-life scenarios to illustrate your thought process.
✨Understand ETL Processes
Familiarise yourself with ETL processes and cloud data integration tools like AWS Glue or Azure Data Factory. Be prepared to discuss how you've implemented these processes in previous roles and the impact they had on data accuracy and integrity.
