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- Tasks: Join us as an Assistant Data Analyst to create impactful data processes and dashboards.
- Company: Be part of a dynamic social network focused on innovative data solutions.
- Benefits: Enjoy flexible work options and opportunities for professional growth.
- Why this job: This role offers hands-on experience in data analysis with a supportive team culture.
- Qualifications: DSE/Form 5 or above with 2 years in data analysis; proficiency in Excel, SQL, and BI tools required.
- Other info: Ideal for detail-oriented individuals eager to learn and tackle new challenges.
The predicted salary is between 28800 - 43200 £ per year.
Social network you want to login/join with:
- Understand department’s data requirements and create ELT processes
- Prepare data and develop data warehouse for timely analysis
- Design and create dashboards and reports for analysis and presentation to manage
- Improve and automate report
- Handle other ad hoc work as required
Requirements
- DSE / Form 5 or above
- At least 2 years of relevant experience in business intelligence, data warehousing or data analysis
- Proficient in MS Excel, SQL, VBA, BI and data visualization tools
- Strong analytical and problem-solving skills
- Detail-oriented and able to work independently
- Willing to learn and take on new challenges
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Assistant Data Analyst employer: Easy Job Centre
Contact Detail:
Easy Job Centre Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Assistant Data Analyst
✨Tip Number 1
Familiarise yourself with the specific data tools mentioned in the job description, such as SQL and data visualisation tools. Consider taking online courses or tutorials to enhance your skills and demonstrate your commitment to learning.
✨Tip Number 2
Network with professionals in the data analysis field, especially those who work in business intelligence or data warehousing. Attend industry meetups or webinars to make connections that could lead to referrals or insights about the role.
✨Tip Number 3
Prepare to discuss your previous experience with ELT processes and data warehousing during interviews. Have specific examples ready that showcase your analytical skills and how you've improved reporting processes in past roles.
✨Tip Number 4
Stay updated on the latest trends in data analysis and business intelligence. Being knowledgeable about current technologies and methodologies can give you an edge in discussions and show your enthusiasm for the field.
We think you need these skills to ace Assistant Data Analyst
Some tips for your application 🫡
Understand the Job Requirements: Carefully read the job description for the Assistant Data Analyst position. Make sure you understand the key responsibilities and required skills, such as proficiency in MS Excel, SQL, and data visualization tools.
Tailor Your CV: Customise your CV to highlight relevant experience in business intelligence, data warehousing, or data analysis. Emphasise your analytical skills and any specific projects where you've created dashboards or reports.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and your willingness to learn. Mention specific examples of how you've improved processes or automated reports in previous roles.
Proofread Your Application: Before submitting, thoroughly proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is accurate and clearly presented.
How to prepare for a job interview at Easy Job Centre
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in MS Excel, SQL, and any data visualisation tools you’ve used. Be prepared to discuss specific projects where you applied these skills, as this will demonstrate your hands-on experience.
✨Understand ELT Processes
Familiarise yourself with ELT (Extract, Load, Transform) processes before the interview. Be ready to explain how you would approach creating these processes based on the department's data requirements, as this is a key part of the role.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical and problem-solving skills. Think of examples from your past experience where you successfully tackled data-related challenges, and be ready to walk the interviewer through your thought process.
✨Demonstrate Your Attention to Detail
Since the role requires a detail-oriented approach, prepare to discuss how you ensure accuracy in your work. You might want to share specific instances where your attention to detail made a significant impact on a project or report.
