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- Tasks: Coordinate data quality and customer systems using SQL and PowerBI.
- Company: Join a renowned global organisation based in Reading.
- Benefits: Earn £350 per day for a 3-month contract, office-based.
- Why this job: Make a real impact by collaborating with diverse teams like eCommerce and Automation.
- Qualifications: Proficiency in SQL and PowerBI is essential.
- Other info: This role offers a unique opportunity to enhance your data skills in a dynamic environment.
Data Coordinator Contractor with SQL & PowerBI required for a 3 month contract in Reading, OFFICE BASED paying @ £350 per day – SQL, PowerBI, Reading
Join an established Worldwide organisation in Reading where your expertise in data quality and customer systems can make a real difference. This is your chance to work cross-functionally with teams like eCommerce, Automation, and Support to ensure dat…
Data Coordinator Contractor; SQL & PowerBI in Reading employer: Langley James Limited
Contact Detail:
Langley James Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Coordinator Contractor; SQL & PowerBI in Reading
✨Tip Number 1
Familiarise yourself with the specific SQL and PowerBI tools that the company uses. Research any recent projects or case studies they have published to understand their data management practices better.
✨Tip Number 2
Network with current or former employees on platforms like LinkedIn. Engaging in conversations about their experiences can provide you with valuable insights into the company culture and expectations for the Data Coordinator role.
✨Tip Number 3
Prepare to discuss how you've previously improved data quality or streamlined processes in your past roles. Be ready to share specific examples that highlight your problem-solving skills and ability to work cross-functionally.
✨Tip Number 4
Stay updated on the latest trends in data analytics and visualisation. Being knowledgeable about new features in PowerBI or advancements in SQL can set you apart during discussions with the hiring team.
We think you need these skills to ace Data Coordinator Contractor; SQL & PowerBI in Reading
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the specific requirements for the Data Coordinator Contractor position. Focus on the skills needed, such as SQL and PowerBI, and think about how your experience aligns with these.
Tailor Your CV: Customise your CV to highlight relevant experience in data quality and customer systems. Make sure to include specific examples of projects where you used SQL and PowerBI effectively.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Mention how your skills can contribute to cross-functional teams like eCommerce and Automation, and express your eagerness to make a difference.
Proofread Your Application: Before submitting, thoroughly proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a data coordinator role.
How to prepare for a job interview at Langley James Limited
✨Showcase Your SQL Skills
Be prepared to discuss your experience with SQL in detail. Bring examples of past projects where you used SQL to solve data-related problems, and be ready to answer technical questions that demonstrate your proficiency.
✨Demonstrate PowerBI Expertise
Since PowerBI is a key requirement for this role, make sure to highlight your experience with it. Discuss specific dashboards or reports you've created, and how they contributed to decision-making processes in previous roles.
✨Understand the Company’s Data Needs
Research the organisation and its data management practices. Be ready to discuss how your skills can help improve data quality and support cross-functional teams like eCommerce and Automation.
✨Prepare for Behavioural Questions
Expect questions about teamwork and problem-solving. Prepare examples that showcase your ability to work collaboratively across departments and how you've handled challenges in data coordination.
