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For Companies At a Glance
- Tasks: Analyse customer payment data and deliver insights to the finance team.
- Company: Join a leading retail company with a dynamic finance team.
- Benefits: Enjoy hybrid working, with 4 days in the office and opportunities for career growth.
- Why this job: Be part of a collaborative culture where your data storytelling skills shine.
- Qualifications: Strong SQL and Databricks experience required; Power BI skills are a plus.
- Other info: This role offers a chance to make a real impact in finance.
The predicted salary is between 28800 - 48000 £ per year.
A leading retail company is seeking a Data Analyst to join their Finance team! This company is looking to add to its Finance team, where you will be responsible for looking at the data across customer payments. The role will involve accessing and extracting data from the cloud, using SQL and Databricks, carrying out analysis, and delivering key insights to the wider finance team.
- Strong experience in SQL and Databricks is required
- Experienced in Power BI or another visualisation tool
- Ability to tell a story with data and strong presentation skills
Opportunity to grow and develop your career.
Financial Data Analyst with Vba employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Data Analyst with Vba
✨Tip Number 1
Familiarise yourself with SQL and Databricks by working on personal projects or contributing to open-source projects. This hands-on experience will not only enhance your skills but also give you practical examples to discuss during interviews.
✨Tip Number 2
Develop your storytelling skills with data by practising how to present complex information in a clear and engaging way. Consider creating a portfolio of visualisations using Power BI or similar tools to showcase your ability to convey insights effectively.
✨Tip Number 3
Network with professionals in the finance and data analysis fields, especially those who work with retail companies. Attend industry events or join online forums to gain insights and potentially get referrals for job openings.
✨Tip Number 4
Research the company’s values and recent developments in the retail sector. Tailoring your conversations during interviews to align with their goals and demonstrating your knowledge about their business can set you apart from other candidates.
We think you need these skills to ace Financial Data Analyst with Vba
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the key responsibilities and required skills. Focus on the importance of SQL, Databricks, and data visualisation tools like Power BI.
Tailor Your CV: Highlight your relevant experience in data analysis, particularly with SQL and Databricks. Include specific examples of how you've used these tools to derive insights and support decision-making.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the role and how your skills align with the company's needs. Emphasise your ability to tell a story with data and your strong presentation skills.
Showcase Your Projects: If you have previous projects or case studies that demonstrate your analytical skills and use of visualisation tools, mention them in your application. This will provide concrete evidence of your capabilities.
How to prepare for a job interview at Harnham
✨Showcase Your SQL Skills
Make sure to brush up on your SQL knowledge before the interview. Be prepared to discuss specific queries you've written in the past and how they helped solve business problems. You might even be asked to demonstrate your skills on the spot!
✨Familiarise Yourself with Databricks
Since this role requires experience with Databricks, take some time to understand its functionalities and how it integrates with data analysis. Be ready to explain how you've used it in previous roles or projects.
✨Prepare Data Visualisation Examples
As the company values strong presentation skills, gather examples of your work with Power BI or other visualisation tools. Be prepared to discuss how you transformed complex data into clear, actionable insights that drove decision-making.
✨Craft Your Data Story
Think about how you can tell a compelling story with data. Prepare to discuss a specific instance where your analysis led to significant insights or changes within a team or project. This will demonstrate your ability to communicate effectively and impactfully.
