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For Companies At a Glance
- Tasks: Join a team to analyse data and create stunning visualisations using Tableau.
- Company: A dynamic client focused on innovative data solutions and projects.
- Benefits: Enjoy hybrid work, with one office visit per quarter in London.
- Why this job: Be part of an exciting project that enhances your skills and career prospects.
- Qualifications: Strong Tableau skills required; PowerBI and SQL experience are a plus.
- Other info: This is a 6-month contract, ideal for those seeking flexible opportunities.
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; PowerBI experience would be a bonus.
Contract info:
- Data Analyst
- 6-month initial contract
- 1x per quarter in London office
- INSIDE IR35
Technical info:
- Tableau
- Palantir Foundry (not essential)
- SQL, Snowflake & DBT
- Python
- AWS
If you’re available for a new contract, please apply online!
Data Analyst employer: Arrows
Contact Detail:
Arrows Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with Tableau and its advanced features. Since the role specifically requires strong Tableau expertise, consider creating a portfolio of your best visualisations to showcase your skills during interviews.
✨Tip Number 2
Brush up on your SQL and data manipulation skills. Many data analyst roles require a solid understanding of databases, so being able to demonstrate your proficiency in SQL will set you apart from other candidates.
✨Tip Number 3
Network with professionals in the data analytics field. Attend meetups or webinars focused on data visualisation and analytics to connect with others who might have insights or leads on similar roles.
✨Tip Number 4
Stay updated on industry trends and tools. Being knowledgeable about the latest developments in data analytics, such as new features in Tableau or emerging technologies like Palantir Foundry, can give you an edge in discussions during interviews.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Highlight Relevant Skills: Make sure to emphasise your expertise in Tableau and any experience you have with data visualisation and design. Mentioning PowerBI as a bonus skill can also set you apart.
Tailor Your CV: Customise your CV to reflect the specific requirements of the Data Analyst role. Include relevant projects or experiences that showcase your skills in SQL, Snowflake, Python, and AWS.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for the project and the opportunity to work in a hybrid environment. Make it personal and engaging.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise.
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 using Tableau. Bring examples of dashboards or visualisations you've created and explain the impact they had on decision-making.
✨Demonstrate Data Visualisation Knowledge
Highlight your understanding of data visualisation principles. Be ready to talk about how you approach design and what makes a visualisation effective. This will show that you not only know the tools but also the theory behind them.
✨Familiarise Yourself with SQL and Snowflake
As SQL and Snowflake are mentioned in the job description, brush up on your skills in these areas. Be prepared to answer technical questions or even solve problems on the spot related to data querying and management.
✨Ask Insightful Questions
Prepare thoughtful questions about the project and the team dynamics. This shows your interest in the role and helps you gauge if the company culture aligns with your values. It’s also a great way to demonstrate your analytical mindset.
