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- Tasks: Analyse and validate data, identify trends, and present findings to the team.
- Company: Join a dynamic data-focused team in a leading financial services company.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Exciting career development opportunities in a collaborative team.
- Why this job: Dive deep into data and make impactful contributions in a fast-paced environment.
- 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 QA Engineer 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 QA Engineer 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 brushing up on your SQL and Excel skills. Practice common data analysis scenarios and be ready to showcase your analytical thinking. We want to see how you tackle real-world problems!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and interests. When you find a role that excites you, apply through our website to ensure your application gets the attention it deserves.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds as they make their decision.
We think you need these skills to ace Data QA Engineer 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, whether through projects or previous roles. We love candidates who are genuinely excited about diving into data.
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 data profiling, make it stand out! We want to know how your background makes you a great fit for our team.
Apply Through Our Website: To ensure your application gets the attention it deserves, please apply through our website. This helps us keep everything organised and makes it easier for us to review your application. We can't wait to hear from you!
How to prepare for a job interview at Arrow Global Group
✨Know Your Data Tools
Make sure you're well-versed in Excel and SQL, as these are crucial for the role. Brush up on your skills and be ready to discuss specific functions or queries you've used in past projects.
✨Showcase Your Analytical Mindset
Prepare examples that highlight your analytical skills. Think about times when you identified trends or anomalies in data and how you presented those findings to your team. This will demonstrate your ability to interpret and validate data effectively.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. The interviewers will want to see if you can present your findings clearly, especially since you'll be working with various stakeholders who may not have a technical background.
✨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 previous roles, as this is key for the position.