At a Glance
- Tasks: Tackle complex data systems and deliver insights using Power BI.
- Company: Join a rapidly growing fashion brand making waves in the industry.
- Benefits: Enjoy a full-time role with opportunities for growth and innovation.
- Other info: Ideal for proactive individuals with a passion for retail and consumer services.
- Why this job: Make a real impact in a dynamic environment while collaborating with creative minds.
- Qualifications: Strong Power BI, SQL, and data troubleshooting skills required.
The predicted salary is between 36000 - 60000 £ per year.
Excited to be working with a rapidly growing fashion brand in their search for a talented Data Engineer with strong Power BI expertise! This is a fantastic opportunity for someone who thrives in tackling complex systems, resolving issues, and delivering impactful insights using Power BI.
Key Responsibilities:
- Troubleshoot and resolve issues in Power BI dashboards, data models, and reports.
- Debug and enhance data connections across integrated systems.
- Analyze and address performance bottlenecks in data refresh cycles and DAX queries.
- Maintain data accuracy and integrity across all visualizations and data sources.
- Recommend system improvements and implement best practices.
- Collaborate with stakeholders to gather requirements and deliver validated solutions.
Skills & Qualifications:
- Strong knowledge of Power BI, SQL, Excel/Google Sheets, Fivetran, DBT, BigQuery, GCP/Glue, and Python.
- Proven ability to troubleshoot complex data pipelines and integration challenges.
- Familiarity with database structures and query optimization.
- Excellent communication skills for stakeholder collaboration and documentation.
Bonus Skills:
- Certifications in Power BI or similar technologies.
- Experience with advanced analytics and creating custom visuals in Power BI.
- Previous experience working within consumer or retail environments.
This is an excellent opportunity for a proactive Data Engineer with experience in the consumer or retail sector, looking to drive meaningful impact in a dynamic and innovative environment!
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
Industries
- Retail Apparel and Fashion
- Consumer Services
- Manufacturing
Data Specialist employer: Agora Talent
Agora Talent is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong focus on employee growth, you will have the opportunity to influence key financial processes while enjoying flexible working arrangements and a competitive bonus structure. Join us to be part of a dynamic team that values your expertise and supports your professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Specialist
✨Tip Number 1
Familiarise yourself with the latest trends in Power BI and data engineering. Join online forums or communities where professionals discuss their experiences and challenges. This will not only enhance your knowledge but also help you network with potential colleagues.
✨Tip Number 2
Prepare to showcase your troubleshooting skills by practising common issues faced in Power BI. Create a portfolio of examples where you've resolved complex data problems, as this will demonstrate your hands-on experience during interviews.
✨Tip Number 3
Engage with the fashion brand's online presence. Follow them on social media, comment on their posts, and understand their data needs. This will give you insights into their operations and help you tailor your discussions during interviews.
✨Tip Number 4
Brush up on your communication skills, especially when it comes to explaining technical concepts to non-technical stakeholders. Practising how to present your findings clearly can set you apart from other candidates who may struggle in this area.
We think you need these skills to ace Data Specialist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Power BI, SQL, and any relevant tools mentioned in the job description. Use specific examples of how you've resolved issues or improved data processes in previous roles.
Craft a Compelling Cover Letter:In your cover letter, express your enthusiasm for the fashion industry and how your skills align with the company's needs. Mention specific projects where you successfully used Power BI to deliver insights or resolve complex data challenges.
Showcase Relevant Skills:Clearly list your technical skills related to the role, such as your proficiency in DAX queries, data modelling, and troubleshooting. If you have certifications in Power BI or similar technologies, be sure to include them.
Prepare for Potential Questions:Think about how you would explain your approach to troubleshooting data pipelines or optimising queries. Be ready to discuss your past experiences and how they relate to the responsibilities outlined in the job description.
How to prepare for a job interview at Agora Talent
✨Showcase Your Power BI Expertise
Make sure to highlight your experience with Power BI during the interview. Be prepared to discuss specific projects where you've successfully created dashboards or resolved issues, as this will demonstrate your hands-on knowledge and problem-solving skills.
✨Prepare for Technical Questions
Expect questions related to SQL, DAX queries, and data integration challenges. Brush up on these topics and be ready to explain how you've tackled similar issues in the past, as this will show your technical proficiency and analytical thinking.
✨Emphasise Collaboration Skills
Since the role involves working closely with stakeholders, be ready to discuss your communication style and how you gather requirements. Share examples of successful collaborations that led to impactful solutions, showcasing your ability to work well in a team.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss specific instances where you've identified and resolved performance bottlenecks or data accuracy issues. This will illustrate your proactive approach and ability to deliver meaningful insights, which is crucial for the role.
