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For Companies At a Glance
- 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: Remote-first flexibility, competitive salary, 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 jobr.pro 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 jobr.pro
✨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
Show off your skills! Create a portfolio showcasing your data analysis projects. Use real-world examples to demonstrate how you've solved complex problems and delivered actionable insights.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with tools like SQL and Python, and think of examples where you've collaborated with stakeholders to deliver effective solutions.
✨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 jobr.pro
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 job description. 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 mapping and profiling, as these are key skills for the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our dynamic team!
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 industry and the specific challenges it faces. This will help you demonstrate your problem-solving abilities and how you can extract actionable insights from complex datasets relevant to their business.
✨Showcase Your Communication Skills
Prepare examples of how you've effectively collaborated with stakeholders in previous roles. Highlight your ability to translate complex data findings into clear, actionable recommendations that non-technical team members can understand.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about their current data projects or how they measure success in data-driven decision-making. This shows you're genuinely interested and engaged.
