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For Companies At a Glance
- Tasks: Create impactful data models and deliver actionable reports using BigQuery and Python.
- Company: Join emagine, a leading consultancy in the financial services sector.
- Benefits: Competitive pay, hybrid work model, and a supportive team environment.
- Why this job: Make a real difference in banking by transforming data into insights.
- Qualifications: Proficiency in BigQuery and Python, with strong analytical skills.
- Other info: Embrace a culture of openness and integrity with excellent career growth.
We are seeking a skilled Data Modeler to join a dedicated team supporting the ongoing operational reporting for the Innovation Banking sector within Commercial Banking. The focus of this role is on delivering simple, accurate, and actionable reports on a daily basis, primarily utilizing BigQuery and Python.
Main Responsibilities
- Industrialize outputs generated by Data Analysts, ensuring reports are clear and structured.
- Assess and prepare raw data for analytical processes, creating effective data models.
- Validate data tables and join datasets to enhance BI consumption.
- Collaborate closely with the team to understand reporting needs and deliver insights rapidly.
- Maintain attention to detail throughout the report-building process.
Key Requirements
- Strong expertise in BigQuery and Python.
- Experience in structured data modeling and BI pipeline standardization.
- Excellent attention to detail and organizational skills.
- Strong analytical capabilities and understanding of data visualization principles.
- Ability to work in an agile environment and adapt quickly.
Data Modeler employer: emagine
Contact Detail:
emagine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler
✨Tip Number 1
Network like a pro! Reach out to folks in the banking and data modelling space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data models and reports. This is your chance to shine and demonstrate your expertise in BigQuery and Python to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data modelling questions. Practice explaining your thought process and how you approach problem-solving. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Modeler
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with BigQuery and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data modelling and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Attention to Detail: Since this role requires a keen eye for detail, make sure your application is free from typos and errors. We appreciate clarity and structure, so format your documents neatly to reflect that.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at emagine
✨Know Your Tools Inside Out
Make sure you’re well-versed in BigQuery and Python. Brush up on your skills and be ready to discuss specific projects where you've used these tools. Being able to demonstrate your expertise will show that you're the right fit for the role.
✨Prepare for Data Modelling Questions
Expect questions about structured data modelling and BI pipeline standardization. Think of examples from your past experience where you’ve successfully industrialised outputs or validated data tables. This will help you illustrate your analytical capabilities effectively.
✨Showcase Your Attention to Detail
Since attention to detail is crucial for this role, prepare to discuss how you ensure accuracy in your reports. Bring up specific instances where your meticulousness made a difference in the outcome of a project or report.
✨Emphasise Collaboration Skills
This role involves working closely with a team, so be ready to talk about your collaborative experiences. Share examples of how you’ve worked with others to understand reporting needs and deliver insights quickly, highlighting your adaptability in an agile environment.
