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- Tasks: Join a team to analyse data and create stunning visualisations using Tableau.
- Company: A dynamic client seeking innovative minds for an exciting new project.
- Benefits: Enjoy remote work flexibility with quarterly meet-ups in London.
- Why this job: Perfect for those passionate about data and eager to make an impact.
- Qualifications: Strong Tableau skills required; bonus for Power BI, SQL, and Python experience.
- Other info: 9-month contract starting in April, ideal for students looking for real-world experience.
The predicted salary is between 36000 - 60000 £ per year.
Our client is looking for a Data Analyst to join their team as a contractor to support with a new project kicking off in April!
They are looking for somebody with strong Tableau expertise and Data Visualisation + Design skills; Power BI experience would be a bonus.
- 9-month initial contract
- 1x per quarter in London office
- Tableau
- SQL, Snowflake & DBT
- Python
- AWS
If you're available for a new contract, please apply online!
Data Analyst - Data Analityk employer: Arrows
Contact Detail:
Arrows Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Data Analityk
✨Tip Number 1
Familiarise yourself with Tableau and ensure you can showcase your data visualisation skills. Consider creating a portfolio of projects that highlight your expertise in Tableau, as this will demonstrate your capabilities to the hiring team.
✨Tip Number 2
Brush up on SQL, Snowflake, and DBT, as these are key technologies mentioned in the job description. Being able to discuss your experience with these tools during an interview will show that you're well-prepared and knowledgeable.
✨Tip Number 3
If you have experience with Python and AWS, be ready to discuss specific projects where you've used these technologies. Highlighting relevant examples will help you stand out as a candidate who can contribute effectively from day one.
✨Tip Number 4
Since the role requires occasional visits to the London office, make sure to mention your flexibility regarding travel. This shows your commitment to the role and willingness to engage with the team in person when necessary.
We think you need these skills to ace Data Analyst - Data Analityk
Some tips for your application 🫡
Highlight Relevant Skills: Make sure to emphasise your expertise in Tableau and data visualisation. Mention any experience you have with SQL, Snowflake, DBT, Python, and AWS, as these are key skills for the role.
Tailor Your CV: Customise your CV to reflect the specific requirements of the Data Analyst position. Use keywords from the job description to ensure your application stands out to recruiters.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also your enthusiasm for the project. Explain why you're interested in this contract and how you can contribute to the team.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, as well as ensuring that all information is accurate and up-to-date.
How to prepare for a job interview at Arrows
✨Showcase Your Tableau Skills
Since the role requires strong Tableau expertise, be prepared to discuss your previous projects involving Tableau. Bring examples of dashboards or visualisations you've created and explain the design choices you made.
✨Demonstrate Data Visualisation Knowledge
Highlight your understanding of data visualisation principles. Be ready to talk about how you approach designing effective visualisations and the impact they have on decision-making.
✨Brush Up on SQL and Python
As SQL and Python are essential for this role, ensure you can discuss your experience with these languages. You might be asked to solve a problem or explain how you've used them in past projects.
✨Prepare for Technical Questions
Expect technical questions related to Snowflake, DBT, and AWS. Review key concepts and be ready to explain how you've utilised these technologies in your work, as they are crucial for the role.
