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- Tasks: Transform business needs into effective data models and ensure data quality.
- Company: Join a dynamic team focused on innovative data solutions.
- Benefits: Enjoy the flexibility of remote work for a 3.5-month contract.
- Why this job: Make a real impact by shaping data projects and collaborating with stakeholders.
- Qualifications: Experience in dimensional modeling and strong SQL skills required.
- Other info: This is a contract role, perfect for those looking to gain valuable experience.
We are seeking an experienced Dimensional Data Modeler/Analyst for a 3.5 months remote contract. You will play a crucial role in our data projects by translating business needs into effective data models.
Key Responsibilities:
- Collaborate with stakeholders to refine, clarify, and iterate on business requirements.
- Analyze and map Key Performance Indicators (KPIs) to underlying source data.
- Identify, analyze, and document data quality issues, proposing solutions and advising on necessary actions.
- Design and build robust dimensional models.
- Develop and document source-to-target mappings for the dimensional model, including transformation logic.
- Ensure a smooth handover and provide ongoing support to data engineering teams.
Required Skills:
- Proven experience in dimensional modeling.
- Strong data analysis and business analysis capabilities.
- Proficiency in SQL.
Contact Detail:
Sonra Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Dimensional Data Modeler Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in dimensional data modelling. Understanding current best practices and tools can give you an edge during discussions with our team.
✨Tip Number 2
Network with professionals in the data analysis field. Engaging with others who have experience in dimensional modelling can provide insights and potentially valuable connections that may help you stand out.
✨Tip Number 3
Prepare to discuss specific KPIs you've worked with in the past. Being able to articulate how you've mapped KPIs to source data will demonstrate your practical experience and understanding of the role.
✨Tip Number 4
Showcase your SQL skills through practical examples. Be ready to explain how you've used SQL in previous projects, especially in relation to data quality issues and transformation logic.
We think you need these skills to ace Dimensional Data Modeler Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Dimensional Data Modeler/Analyst. Familiarise yourself with key concepts like dimensional modelling, KPIs, and data quality issues.
Tailor Your CV: Highlight your relevant experience in dimensional modelling and data analysis. Use specific examples from your past work that demonstrate your ability to translate business needs into effective data models.
Craft a Compelling Cover Letter: In your cover letter, explain why you're a great fit for this role. Mention your proficiency in SQL and any experience you have with collaborating with stakeholders to refine business requirements.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A well-presented application reflects your attention to detail, which is crucial for a data-focused role.
How to prepare for a job interview at Sonra
✨Showcase Your Dimensional Modeling Experience
Be prepared to discuss your previous projects involving dimensional modeling. Highlight specific examples where you successfully translated business needs into effective data models, as this will demonstrate your expertise in the field.
✨Understand Key Performance Indicators (KPIs)
Familiarise yourself with common KPIs relevant to the role. Be ready to explain how you have previously mapped KPIs to source data and how you approached any challenges related to data quality issues.
✨Demonstrate Your SQL Proficiency
Since SQL is a required skill, brush up on your SQL knowledge before the interview. Be prepared to answer technical questions or even solve problems on the spot to showcase your proficiency.
✨Prepare for Collaboration Questions
As collaboration with stakeholders is key, think of examples where you worked closely with others to refine business requirements. Be ready to discuss how you handled feedback and iterated on your models based on stakeholder input.
