At a Glance
- Tasks: Support financial reporting and analysis by creating Power BI dashboards and validating reports.
- Company: Join AEJ Consulting Ltd, a forward-thinking company focused on data-driven decisions.
- Benefits: Gain valuable experience in a dynamic environment with opportunities for growth.
- Other info: Collaborate with financial teams and enhance your data analysis expertise.
- Why this job: Make a real impact on financial decision-making using your analytical skills.
- Qualifications: Proficient in SQL, Power BI, and Python; experience with large datasets is a plus.
The predicted salary is between 35000 - 45000 £ per year.
AEJ Consulting Ltd is looking for a Technical Financial Data Analyst to support financial reporting and analysis. This role involves collaborating with financial teams to create and maintain Power BI dashboards, validating reports, and conducting data analysis.
The ideal candidate will be proficient in SQL and Power BI, with experience in Python for data analysis. Familiarity with behavioral analytics tools and large-scale datasets is essential.
This opportunity allows significant contributions towards data-driven decision-making across the company.
Technical Financial Data Analyst (SQL, Power BI, Python) employer: AEJ Consulting Ltd
AEJ Consulting Ltd is an excellent employer that fosters a collaborative work culture, encouraging innovation and professional growth. With a focus on data-driven decision-making, employees have the opportunity to make significant contributions while developing their skills in a supportive environment. Located in a vibrant area, the company offers competitive benefits and a commitment to employee well-being, making it a rewarding place to advance your career as a Technical Financial Data Analyst.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Financial Data Analyst (SQL, Power BI, Python)
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial data analysis field on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries, Power BI dashboards, and Python scripts. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to SQL, Power BI, and Python. We recommend practicing with mock interviews or coding challenges to boost your confidence and performance.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our team.
We think you need these skills to ace Technical Financial Data Analyst (SQL, Power BI, Python)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SQL, Power BI, and Python. We want to see how your skills align with the role, 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 Technical Financial Data Analyst position and how your background makes you a perfect fit for our team at AEJ Consulting Ltd.
Showcase Your Analytical Skills:In your application, give examples of how you've used data analysis to drive decisions in previous roles. We love seeing candidates who can demonstrate their ability to work with large datasets and behavioural analytics tools.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us during the hiring process!
How to prepare for a job interview at AEJ Consulting Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Power BI, and Python skills before the interview. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Analytical Mindset
Prepare to talk about your experience with data analysis and how it has influenced decision-making in previous roles. Use examples that highlight your ability to work with large datasets and behavioural analytics tools.
✨Collaborate Like a Pro
Since this role involves working closely with financial teams, think of examples where you've successfully collaborated with others. Be ready to discuss how you communicate complex data insights to non-technical stakeholders.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to data-driven decision-making or how they envision the role evolving. This shows your genuine interest in contributing to their goals.
