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- Tasks: Dive into data, analyse trends, and present insights to the team.
- Company: Join a forward-thinking company focused on data excellence.
- Benefits: Competitive salary, flexible working hours, and opportunities for growth.
- Other info: Fast-paced environment with continuous learning and development opportunities.
- Why this job: Be at the forefront of data analysis and make a real impact.
- Qualifications: Experience in data analysis, strong Excel and 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 Global Group
Contact Detail:
Arrow Global Group 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 current Data Analysts or professionals in the field on LinkedIn. Ask them about their experiences and any tips they might have for landing a role like this. You never know who might have a lead on an opportunity!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Excel and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios. Be ready to discuss how you've tackled data profiling, anomaly detection, and presenting findings in plain language. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our data-focused team.
We think you need these skills to ace Data Analyst in Manchester
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data! Share specific examples of how you've engaged with data in the past and what excites you about working with it. We love candidates who are genuinely passionate about their craft.
Be Clear and Concise: We appreciate straightforward communication, so make sure your application is easy to read. Use plain language to explain your experience and skills, especially when discussing technical aspects like Excel and SQL. Remember, clarity is key!
Highlight Relevant Experience: Tailor your application to showcase your experience that aligns with our needs. If you've worked with financial data or have experience in exploratory data analysis, make sure to highlight that. We want to see how your background fits into our team!
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at Arrow Global Group
✨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 leverage them effectively.
✨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 add value to the team.
✨Communicate Clearly
Practice explaining complex data findings in simple terms. The interviewers will want to see if you can present your insights clearly, especially since you'll be working with various stakeholders. Use plain language and avoid jargon where possible.
✨Understand Data Governance
Familiarise yourself with data governance principles, especially regarding sensitive data handling. Be prepared to discuss how you ensure data integrity and compliance in your work. This shows that you take data stewardship seriously and understand its importance.