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For Companies At a Glance
- Tasks: Analyse data, produce reports, and deliver insights to drive business results.
- Company: Join a fast-growing, award-winning financial services company in Worthing.
- Benefits: Enjoy hybrid working with 2-3 days in the office and competitive salary.
- Why this job: Be part of a dynamic team that values innovation and growth in a thriving industry.
- Qualifications: 2-5 years in a Data Analyst role with strong skills in Power BI and SQL Server.
- Other info: Experience with Azure and programming languages like R or Python is a plus.
The predicted salary is between 36000 - 60000 £ per year.
A Data Analyst is required by one of our Financial Services clients. Our client is a fast growing and technically advanced multi-award-winning company in Worthing, they are bucking all commercial trends and enjoying a sustained period of growth.
They are looking to hire a strong Data Analyst to work across the Data Warehouse and Reporting Infrastructure to analyse requirements for data, produce reporting and deliver insight from the data. Your data analytical skills will help to drive the business results forward.
The skills they require are:
- 2-5 years working within a Data Engineer/BI analyst role.
- Strong experience working with Power BI or similar visualisation tools.
- Strong experience working with SQL Server.
- Experience with Azure (Synapse, Databricks, Data Factory).
- Experience with R or Python is also a benefit.
Salary is between 45k-60k depending on experience. This is a hybrid position with 2/3 days in the Worthing office.
Data Analyst employer: ARC IT Recruitment
Contact Detail:
ARC IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, especially Power BI and SQL Server. Consider creating a small project or dashboard that showcases your skills using these tools, as this can be a great talking point during interviews.
✨Tip Number 2
Network with professionals in the financial services sector, particularly those who work with data analytics. Attend industry meetups or webinars to connect with potential colleagues and learn more about the company culture at our client’s organisation.
✨Tip Number 3
Brush up on your knowledge of Azure services like Synapse and Databricks. You could even take an online course to demonstrate your commitment to learning and staying current with industry trends, which will impress potential employers.
✨Tip Number 4
Prepare for the interview by practising common data analysis scenarios and case studies. Be ready to discuss how you’ve used data to drive business results in previous roles, as this will show your practical experience and problem-solving abilities.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis, particularly with Power BI, SQL Server, and any relevant tools like Azure. Use specific examples to demonstrate your skills and achievements in previous roles.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and how your skills align with the company's needs. Mention your experience with data warehousing and reporting infrastructure, and express your enthusiasm for contributing to their growth.
Highlight Relevant Skills: In your application, emphasise your technical skills, especially your proficiency in SQL, Power BI, and any experience with R or Python. Be specific about projects where you've successfully used these tools to drive business results.
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 Data Analyst role.
How to prepare for a job interview at ARC IT Recruitment
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL Server, Power BI, and any other relevant tools during the interview. Be prepared to discuss specific projects where you used these skills to drive business results.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world data problems. Practise explaining your thought process and how you would approach analysing data requirements or creating reports.
✨Demonstrate Your Understanding of Data Insights
Be ready to discuss how your analytical skills have previously led to actionable insights. Share examples of how your work has positively impacted business decisions or outcomes.
✨Familiarise Yourself with Azure Tools
Since experience with Azure is a plus, brush up on your knowledge of Azure Synapse, Databricks, and Data Factory. Being able to discuss how you've used these tools or how you would use them in the role can set you apart.
