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- Tasks: Join us as an Interim Project Data Analyst, focusing on data cleaning and system integration.
- Company: Be part of a leading business in Statistics, Programming, and Data Management services.
- Benefits: Enjoy a hybrid work model with one day in the office and flexible remote options.
- Why this job: This role offers a chance to make an impact while working in a friendly team environment.
- Qualifications: You should be a qualified accountant with experience in systems implementations and data analysis.
- Other info: Bring your sense of humour and effective communication skills to make data fun!
The predicted salary is between 36000 - 60000 £ per year.
Established and successful market leader.
An exciting new project role.
About Our Client: A business which provides Statistics, Programming and Data Management services.
Job Description:
- Data Cleaning and Integrity: Ensure data accuracy by performing meticulous data cleaning activities.
- Data Models and Databases: Work with data models and databases to support system integration.
- Extract and Transform: Extract relevant data from various sources (Templates, Salesforce) and transform it for seamless integration.
- Documentation and Training: Create detailed documentation of data models and designs to facilitate the migration process. Train users on the new system.
- Familiarity with Tools: Proficiency in Excel functions such as VLOOKUPs, INDEX-MATCH, and IF statements.
The Successful Applicant:
- Be a qualified accountant.
- Have experience on systems implementations within medium sized businesses.
- Have experience working with Datarails ideally, but not essential.
- Experience dealing with large amounts of data and translating that into actionable insights and presentational templates.
Additional Attributes:
- Efficiency and Accuracy: You get things done quickly and accurately, with no drama.
- Effective Communication: You can explain complex data to a 5-year-old and make it sound fun.
- Sense of Humour: Your communication is as sharp as your analytics, and you have a sense of humour because, let's face it, you'll need it.
What's on Offer:
- Immediate start.
- Great hybrid model - 1 day in West London, remainder from home.
- Friendly team environment.
Interim Project Data Analyst employer: Michael Page (UK)
Contact Detail:
Michael Page (UK) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Interim Project Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, especially Datarails if you can. Even if you don't have direct experience, showing that you've researched and understand how it works can set you apart.
✨Tip Number 2
Brush up on your Excel skills, particularly VLOOKUPs, INDEX-MATCH, and IF statements. Consider creating a few practice scenarios to demonstrate your proficiency during the interview.
✨Tip Number 3
Prepare examples of how you've previously handled data cleaning and integrity tasks. Be ready to discuss specific challenges you faced and how you overcame them, as this will showcase your problem-solving abilities.
✨Tip Number 4
Think about how you can convey complex data insights in a simple and engaging way. Practising explaining your past projects to friends or family can help you refine your communication skills for the interview.
We think you need these skills to ace Interim Project Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience, especially in data cleaning, systems implementation, and working with large datasets. Use specific examples that demonstrate your proficiency with tools like Excel and any experience with Datarails.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your qualifications as an accountant and how your skills align with the responsibilities outlined in the job description, particularly your ability to communicate complex data effectively.
Showcase Your Communication Skills: Since effective communication is key for this role, consider including a brief example in your application that illustrates how you've successfully explained complex data concepts to non-technical audiences. This will demonstrate your ability to meet one of the key attributes sought by the employer.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a role focused on data integrity.
How to prepare for a job interview at Michael Page (UK)
✨Showcase Your Data Skills
Be prepared to discuss your experience with data cleaning and integrity. Highlight specific examples where you've ensured data accuracy and how you approached any challenges you faced.
✨Familiarity with Tools is Key
Brush up on your Excel skills, especially functions like VLOOKUPs, INDEX-MATCH, and IF statements. Be ready to demonstrate your proficiency and explain how you've used these tools in past projects.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. The ability to communicate effectively is crucial, so think of ways to make your explanations engaging and relatable.
✨Bring a Sense of Humour
Don't forget to let your personality shine through! A good sense of humour can help build rapport with the interviewers, so be yourself and don't be afraid to share a light-hearted moment.
