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- Tasks: Analyse data to extract insights and solve complex business problems.
- Company: Leading financial services organisation in Edinburgh with a dynamic, data-driven team.
- Benefits: Competitive salary, remote-first flexibility, and opportunities for professional growth.
- Why this job: Join a team working on high-impact data projects that drive decision-making.
- Qualifications: Experience with data analysis tools and strong communication skills.
- Other info: Exciting opportunity for career advancement in a tech-focused environment.
The predicted salary is between 28800 - 48000 £ per year.
A leading financial services organization in Edinburgh, UK is looking for a Data Analyst to join its dynamic, data-driven team. This is an exciting opportunity to work on cutting-edge data projects, extracting insights, solving complex business problems, and supporting data-powered decision-making across the company.
Role:
- Data Analysis: Perform data extraction, manipulation, processing, and analysis to deliver actionable insights.
- Data Management: Collect, profile, and map data to improve data quality, resolve inconsistencies, and standardize definitions.
- Problem-Solving: Identify business issues and opportunities by analyzing complex datasets across multiple domains.
- Stakeholder Collaboration: Build and maintain partnerships with business teams to understand requirements and deliver effective solutions.
- Process Optimization: Contribute to the development and implementation of innovative processes for improved efficiency and accuracy.
Requirements:
- Hands-on experience with data analysis tools and techniques.
- Strong understanding of data interrelationships and multiple data domains.
- Background in delivering research and insights based on qualitative and quantitative data.
- Excellent communication and influencing skills to work effectively with stakeholders.
- Prior experience working in a technology or IT-focused environment is a plus.
Employment Type: Full-time
Work Model: Remote-first flexibility available
Opportunity to work on high-impact data projects within a dynamic team. Professional growth in a data-driven financial environment.
Salary Range: Competitive, based on experience
Skills Keywords: Data Analyst, Data Analysis, Data Mapping, Data Profiling, Data Quality, Data Processing, Data Visualization, SQL, Python, Financial Data, Business Intelligence, Quantitative Research, Qualitative Research, Stakeholder Management, Data Reporting
Data Analyst at in Edinburgh employer: joinhandshake.com - Jobboard
Contact Detail:
joinhandshake.com - Jobboard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst at in Edinburgh
✨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 and scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your skills and experiences.
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your data analysis work, including any insights you've delivered. This will give potential employers a clear view of what you can bring to their team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Analyst at in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with data analysis tools and techniques, and don’t forget to showcase any relevant projects that demonstrate your problem-solving 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 aligns with the company’s goals. Be sure to mention your experience in stakeholder collaboration and process optimization.
Showcase Your Skills: In your application, be specific about the data analysis tools you’ve used, like SQL or Python. Mention any experience you have with data quality improvement and how you’ve resolved inconsistencies in past roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at joinhandshake.com - Jobboard
✨Know Your Data Tools
Make sure you brush up on your data analysis tools like SQL and Python before the interview. Be ready to discuss how you've used these tools in past projects, as this will show your hands-on experience and technical skills.
✨Understand the Business Context
Familiarise yourself with the financial services sector and the specific challenges it faces. This will help you demonstrate your problem-solving abilities and how you can extract actionable insights that align with the company's goals.
✨Prepare for Stakeholder Scenarios
Think of examples where you've collaborated with stakeholders to deliver effective solutions. Be prepared to discuss how you identified their requirements and how you communicated your findings, as strong communication skills are key for this role.
✨Showcase Your Process Optimisation Skills
Be ready to talk about any innovative processes you've developed or contributed to in previous roles. Highlight how these improvements led to increased efficiency or accuracy, as this aligns perfectly with what the company is looking for.
