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- Tasks: Enhance financial reporting and create impactful dashboards using Power BI.
- Company: Leading real estate business with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team with a focus on data transformation.
- Why this job: Make a difference by delivering insights that drive business decisions.
- Qualifications: Strong skills in Power BI, SQL, and finance-related experience.
The predicted salary is between 40000 - 50000 £ per year.
We're partnering with a leading real estate business to hire a Data Analyst into their Group Finance team. This role sits within FP&A and focuses on financial reporting, data visualisation, and delivering insight to senior stakeholders, while supporting ongoing reporting transformation.
Key Responsibilities:
- Own and enhance monthly finance KPI reporting (Power BI / Power Query)
- Build dashboards and improve data models and visualisations
- Manage and analyse development pipeline data
- Support valuation and financial reporting cycles
- Deliver ad hoc analysis and business insights
Requirements:
- Strong Power BI, Power Query Excel
- Good SQL / database experience
- Experience in finance or FP&A environments
- Understanding of financial statements
- Ability to communicate insights clearly to stakeholders
If you are interested in the role, please apply.
Data Analyst (SQL, Power BI) employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (SQL, Power BI)
✨Tip Number 1
Network like a pro! Reach out to people in the finance and data analysis sectors on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI dashboards and SQL projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions. Think about how you can communicate your insights clearly, just like you would to senior stakeholders in a real-world scenario.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, if you have any questions, feel free to drop us a message on LinkedIn or via email.
We think you need these skills to ace Data Analyst (SQL, Power BI)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Power BI, and financial reporting. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background in finance and data analysis makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Your Data Visualisation Skills: Since this role involves building dashboards and improving data models, include examples of your previous work with Power BI or similar tools. We love seeing how you can turn complex data into clear insights!
Follow Up After Applying: Once you’ve submitted your application through our website, don’t hesitate to reach out! A quick message on LinkedIn or an email can show your enthusiasm and help us remember your application.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Tools Inside Out
Make sure you’re well-versed in Power BI, Power Query, and SQL. Brush up on your skills by reviewing past projects or creating sample dashboards. Being able to demonstrate your technical expertise will impress the interviewers.
✨Understand Financial Reporting
Since this role focuses on financial reporting, take some time to review key financial statements and KPIs. Be prepared to discuss how you’ve used data to drive insights in previous roles, especially in FP&A environments.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific situations, like improving a dashboard or analysing a development pipeline. Think of examples from your past experience where you successfully tackled similar challenges.
✨Communicate Clearly and Confidently
Practice explaining complex data insights in simple terms. You’ll need to convey your findings to senior stakeholders, so being clear and concise is key. Consider doing mock interviews with friends to refine your communication skills.