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For Companies At a Glance
- Tasks: Support data quality and standardisation initiatives while collaborating on global projects.
- Company: Join a leading global food service company with a focus on innovation.
- Benefits: Enjoy flexible hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by ensuring data accuracy and driving continuous improvement.
- Qualifications: 3-5 years of data analysis experience, strong SQL skills, and Microsoft Office proficiency.
- Other info: Dynamic work environment with a commitment to collaboration and excellence.
The predicted salary is between 36000 - 60000 £ per year.
A global food service company in Ashford is seeking a Data Analyst to support data quality and standardization initiatives. This full-time position offers flexible hybrid working. The ideal candidate has 3–5 years' experience in data analysis, strong SQL skills, and proficiency in Microsoft Office.
Responsibilities include:
- Data cleansing
- Collaboration with stakeholders
- Supporting global projects
This role requires a commitment to accuracy, collaboration, and continuous improvement.
Hybrid Data Analyst: Master Data & Global Insights in Ashford employer: Sysco
Contact Detail:
Sysco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Analyst: Master Data & Global Insights in Ashford
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your data analysis projects. This is your chance to demonstrate your SQL prowess and how you've tackled data quality issues in the past.
✨Tip Number 3
Practice makes perfect! Before any interviews, brush up on common data analysis questions and scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Hybrid Data Analyst: Master Data & Global Insights in Ashford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis, especially your SQL skills. We want to see how your background aligns 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 quality and standardization. We love seeing candidates who are excited about collaboration and continuous improvement, so let that enthusiasm come through.
Showcase Your Soft Skills: While technical skills are crucial, we also value teamwork and communication. In your application, mention any experiences where you’ve worked closely with stakeholders or contributed to team projects. It’s all about that collaborative spirit!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Sysco
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with data queries, joins, and data manipulation. You might even be asked to solve a problem on the spot, so practice some common SQL scenarios.
✨Showcase Your Data Cleansing Experience
Since the role involves data cleansing, come armed with examples of how you've tackled data quality issues in the past. Share specific instances where your attention to detail made a difference, and be ready to explain your process.
✨Collaboration is Key
This position requires working closely with stakeholders, so highlight your teamwork skills. Prepare anecdotes that demonstrate how you've successfully collaborated on projects, resolved conflicts, or communicated complex data insights to non-technical team members.
✨Emphasise Continuous Improvement
The company values continuous improvement, so think about how you've contributed to enhancing processes in your previous roles. Be ready to discuss any initiatives you've led or participated in that improved data accuracy or efficiency.
