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- Tasks: Analyse data to uncover trends and present insights to the team.
- Company: Join a forward-thinking IT & Change team in Manchester.
- Benefits: Permanent full-time role with competitive salary and growth opportunities.
- Other info: Fast-paced setting with evolving processes and datasets.
- Why this job: Dive into data and make impactful decisions in a dynamic environment.
- Qualifications: Degree in relevant field and strong Excel/SQL skills required.
The predicted salary is between 35000 - 45000 £ per year.
We are building a new, data-focused team and are looking for experienced Data Analysts who are passionate about Data to come work with us. In this role, you will quickly interpret and validate data, identify key trends & drivers, and clearly present findings to the broader team. The ideal candidate is inquisitive, detail-oriented, and highly analytical, with hands-on Excel and SQL skills. Ultimately, the Data Analyst must thrive on 'being in the data' and partner closely with Data Stewards and Data Engineering to ensure data is well understood, well governed, and processed reliably at scale.
Key Responsibilities
- Exploratory Data Analysis of structured and unstructured datasets
- Extensive Data Profiling using Excel, SQL and bespoke tools
- Segmentation, anomaly/outlier detection, trending analysis
- Reconcile and validate data across multiple sources
- Present findings in plain language, including limitations and confidence levels
- Support Data Stewards with Data Discovery & Insights
- Support Data Engineering in the onboarding/integration of new datasets
- Ensure proper handling of sensitive data (PII)
Skills, Knowledge & Expertise
- Degree in Computer Science, Information Systems, Statistics, or a related field is preferable
- Proven experience in a Data Analyst / Business Intelligence / Analytics role, ideally in financial services or alternative investments
- A background in financial data domains (IBOR/ABOR, transactions, market data, reference data)
- Resourceful, motivated self-starter with strong attention to detail. Thrives in a fast-paced environment where processes and datasets are evolving.
- Strong analytical, verbal, and written communication skills
- Expert level proficiency in Excel & SQL is a must
- Power BI experience a plus
- Working experience with Python a plus
Data Analyst in Manchester employer: Arrow
Contact Detail:
Arrow Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common data analysis questions. Brush up on your Excel and SQL skills, and be ready to showcase your analytical thinking with real-world examples from your past experience.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that excite you! Use our website to find roles that match your passion for data and where you can really make an impact.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Plus, it shows your enthusiasm for the role and the company.
We think you need these skills to ace Data Analyst in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with Excel and SQL, and don’t forget to mention any relevant projects or achievements that showcase your analytical skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and how your background makes you a perfect fit for our team. Keep it concise but engaging!
Showcase Your Analytical Mindset: In your application, demonstrate your inquisitive nature and attention to detail. Share examples of how you've tackled complex data problems in the past and what insights you derived from them.
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 our team!
How to prepare for a job interview at Arrow
✨Know Your Data Tools
Make sure you brush up on your Excel and SQL skills before the interview. Be ready to discuss specific functions or queries you've used in past projects. This will show that you're not just familiar with the tools, but that you can use them effectively to analyse data.
✨Showcase Your Analytical Mindset
Prepare examples of how you've identified trends or anomalies in data. Think about a time when your analysis led to a significant insight or decision. This will demonstrate your ability to think critically and your passion for working with data.
✨Communicate Clearly
Practice explaining complex data findings in simple terms. You might be asked to present your analysis during the interview, so being able to articulate your thoughts clearly is key. Remember, it's not just about the numbers; it's about how you convey their meaning.
✨Understand the Business Context
Research the company and its data needs, especially if they operate in financial services or alternative investments. Knowing how your role as a Data Analyst fits into their goals will help you tailor your responses and show that you're genuinely interested in contributing to their success.