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- Tasks: Transform data into insights using SQL and Power BI for finance systems.
- Company: Hill Dickinson LLP, a diverse and inclusive law firm.
- Benefits: Flexible working options and a comprehensive benefits package.
- Other info: Hybrid role based in Manchester or Liverpool with great career growth.
- Why this job: Join a dynamic team and make an impact with your analytical skills.
- Qualifications: Experience in data collection, cleaning, analysis, and visualisation.
The predicted salary is between 30000 - 40000 £ per year.
Hill Dickinson LLP is seeking a Data Analyst to join their IT Infrastructure team in Manchester or Liverpool. The role involves working closely with finance systems, utilizing SQL and Power BI to turn data into insights.
The ideal candidate will have experience in data collection, cleaning, analysis, and visualization.
The position offers a comprehensive benefits package including flexible working options and a strong commitment to diversity and inclusion within the workplace.
Data Analyst – IT Infrastructure & Power BI (Hybrid) employer: Hill Dickinson LLP
Contact Detail:
Hill Dickinson LLP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst – IT Infrastructure & Power BI (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Hill Dickinson LLP on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your SQL and Power BI projects. This will help us demonstrate our data analysis prowess during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on common data analysis questions and scenarios. We want to be confident when discussing our experience with data collection and visualization.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how we fit into Hill Dickinson's commitment to diversity and inclusion.
We think you need these skills to ace Data Analyst – IT Infrastructure & Power BI (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Power BI. We want to see how you've turned data into insights in previous roles, so don’t hold back on those examples!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're excited about the Data Analyst role at Hill Dickinson LLP and how your skills align with our needs. Keep it engaging and personal.
Showcase Your Data Skills: In your application, include specific instances where you've collected, cleaned, analysed, or visualised data. We love seeing real-world applications of your skills, so be detailed!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Hill Dickinson LLP
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss how you've used SQL in past projects, and maybe even solve a few sample queries on the spot. This will show them you're not just familiar with the language but can also apply it effectively.
✨Showcase Your Power BI Skills
Since this role heavily involves Power BI, come ready to talk about specific dashboards or reports you've created. If possible, bring along a portfolio or screenshots of your work to demonstrate your ability to turn data into actionable insights.
✨Understand Their Business Needs
Research Hill Dickinson LLP and their IT Infrastructure team. Understand their focus areas and think about how your skills can help them achieve their goals. This will allow you to tailor your answers and show that you're genuinely interested in contributing to their success.
✨Emphasise Your Data Cleaning Experience
Data cleaning is crucial for any analyst role. Be ready to discuss your methods for ensuring data quality and integrity. Share examples of challenges you've faced in data cleaning and how you overcame them, as this will highlight your problem-solving skills.