At a Glance
- Tasks: Analyse operational data and ensure consistency across various data sources.
- Company: Reputable recruitment agency offering a fully remote role.
- Benefits: Flexible working hours, potential for permanent position, and valuable experience.
- Why this job: Join a dynamic team and enhance your analytical skills while working remotely.
- Qualifications: Detail-oriented with intermediate Excel and Power BI skills.
- Other info: Temporary role for 12 weeks with opportunities for career growth.
The predicted salary is between 2000 - 3000 £ per month.
A reputable recruitment agency seeks a Data Reconciliation Analyst. This fully remote position involves analyzing operational data, ensuring consistency across data sources, and investigating discrepancies.
Candidates should be detail-oriented, possess intermediate Excel and Power BI skills, and have experience in data administration or analytical roles.
Working hours are Monday to Friday, 9:00am to 5:00pm. The role is temporary for 12 weeks with potential for permanence.
Remote Data Reconciliation Analyst employer: Express Recruitment
Contact Detail:
Express Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Reconciliation Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, join relevant online groups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for virtual interviews by setting up a professional backdrop and testing your tech beforehand. We want you to shine, so practice common interview questions and have your Excel and Power BI skills ready to showcase!
✨Tip Number 3
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Plus, it shows your enthusiasm for the role, which is always a bonus.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for detail-oriented candidates like you for roles like the Data Reconciliation Analyst.
We think you need these skills to ace Remote Data Reconciliation Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data administration and analytical roles. We want to see how your skills match the job description, so don’t be shy about showcasing your intermediate Excel and Power BI skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Data Reconciliation Analyst role. Share specific examples of how you've tackled discrepancies in data before – we love a good story!
Be Detail-Oriented: Since this role requires a keen eye for detail, make sure your application is free from typos and errors. We appreciate candidates who take the time to double-check their work, just like we do with our data!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re proactive – a quality we value!
How to prepare for a job interview at Express Recruitment
✨Know Your Data Inside Out
Before the interview, brush up on your understanding of data reconciliation processes. Be ready to discuss how you've handled discrepancies in the past and what tools you used, especially Excel and Power BI.
✨Showcase Your Attention to Detail
Since this role requires a keen eye for detail, prepare examples that highlight your ability to spot inconsistencies in data. Use specific instances from your previous roles where your attention to detail made a significant impact.
✨Familiarise Yourself with Common Tools
Make sure you're comfortable discussing your experience with Excel and Power BI. If there are specific functions or features you’ve used, be ready to explain how they helped you in your previous roles.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data management practices and the team you'll be working with. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.