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For Companies At a Glance
- Tasks: As a Data Analyst, you'll extract and analyse data using Databricks and SQL.
- Company: Join a leading British retailer making waves in the finance sector.
- Benefits: Enjoy a competitive salary of £50k plus additional perks.
- Why this job: Make a real impact by reconciling over £3 billion in payments yearly.
- Qualifications: Proficiency in SQL, Databricks, Excel, and data visualisation is essential.
- Other info: Work in Leicester, 4 days a week, with a dynamic team.
The predicted salary is between 30000 - 70000 £ per year.
Leicester (4x a week) £50k + benefits
Harnham are exclusively partnering with a renowned British retailer hiring for a Finance Analyst. You will have the opportunity to make a real impact in this role, as the team reconciles over £3 billion in payments yearly.
The Role
- Extracting data via a data warehouse using Databricks and SQL (SSMS).
- Ensuring accuracy and consistency of data used in analysis.
- Automating reporting.
- Reviewing core weekly MI.
- Proactively monitoring and analysing all payments across all stores and 70 websites.
Skills & Experience:
- SQL
- Databricks
- Excel
- Data Visualisation
How to Apply:
Register your interest by sending your CV to Daniel Abbasi via the apply link on this page.
Data Analyst - Databricks employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Databricks
✨Tip Number 1
Familiarise yourself with Databricks and SQL by working on personal projects or contributing to open-source projects. This hands-on experience will not only boost your confidence but also give you practical examples to discuss during interviews.
✨Tip Number 2
Network with professionals in the data analytics field, especially those who work with Databricks. Attend industry meetups or webinars to gain insights and potentially get referrals that could help you land the job.
✨Tip Number 3
Stay updated on the latest trends in data visualisation and reporting tools. Being knowledgeable about current technologies can set you apart from other candidates and show your commitment to continuous learning.
✨Tip Number 4
Prepare for the interview by practising common data analysis scenarios and questions related to payment reconciliation. Demonstrating your problem-solving skills and analytical thinking will be crucial in showcasing your fit for the role.
We think you need these skills to ace Data Analyst - Databricks
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills related to data analysis, SQL, and Databricks. Use specific examples that demonstrate your ability to extract and analyse data effectively.
Craft a Compelling Cover Letter: Write a cover letter that explains why you are interested in the Finance Analyst position. Mention your familiarity with data visualisation and how you can contribute to automating reporting and ensuring data accuracy.
Showcase Relevant Skills: In your application, emphasise your proficiency in SQL and Excel, as well as any experience you have with data warehouses and reporting tools. This will help you stand out as a strong candidate for the role.
Follow Application Instructions: Ensure you send your application via the specified link and address it to Daniel Abbasi. Double-check that all documents are attached and formatted correctly before submitting.
How to prepare for a job interview at Harnham
✨Showcase Your SQL Skills
Since the role heavily relies on SQL, be prepared to discuss your experience with it. Bring examples of complex queries you've written or challenges you've overcome using SQL in past projects.
✨Familiarise Yourself with Databricks
Make sure you understand how Databricks works and its applications in data analysis. You might be asked about specific features or how you've used it in previous roles, so brush up on your knowledge.
✨Demonstrate Your Analytical Mindset
The role involves monitoring and analysing payments across various platforms. Be ready to discuss how you approach data analysis, including any tools or methodologies you prefer to use.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills. Think of scenarios where you've had to automate reporting or ensure data accuracy, and be ready to explain your thought process and outcomes.
