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For Companies At a Glance
- 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 seeking short-term opportunities.
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
Brush up on your SQL skills, as they are crucial for this role. Consider working on sample projects or exercises that involve complex queries to demonstrate your proficiency.
✨Tip Number 3
Prepare to discuss specific examples of how you've collaborated with stakeholders in the past. Highlighting your ability to translate business needs into effective data models will be key.
✨Tip Number 4
Think about potential data quality issues you've encountered before and how you resolved them. Being able to articulate these experiences will show your problem-solving capabilities.
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 that demonstrate your ability to translate business needs into effective data models and your proficiency in SQL.
Craft a Compelling Cover Letter: In your cover letter, explain why you're a great fit for this role. Mention your experience with stakeholders, your approach to identifying data quality issues, and how you can support data engineering teams.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Sonra
✨Showcase Your Dimensional Modelling Experience
Be prepared to discuss your previous projects involving dimensional modelling. Highlight specific examples where you successfully translated business needs into effective data models, as this will demonstrate your expertise and relevance for the role.
✨Understand Key Performance Indicators (KPIs)
Familiarise yourself with common KPIs relevant to the industry. During the interview, be ready to explain how you would analyse and map these KPIs to underlying source data, showcasing your analytical skills and understanding of business requirements.
✨Prepare for Data Quality Discussions
Anticipate questions about data quality issues. Think of examples from your past work where you identified and resolved data quality problems, and be ready to propose solutions. This will show your proactive approach and problem-solving abilities.
✨Demonstrate SQL Proficiency
Since SQL is a key requirement, brush up on your SQL skills before the interview. Be prepared to answer technical questions or even solve a problem on the spot, as this will help illustrate your proficiency and confidence in handling data.
