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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 real business decisions.
- 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: Wayne State University
Contact Detail:
Wayne State University 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 current employees at jobr.pro on LinkedIn or other platforms. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills. Make sure we can talk confidently about tools like SQL and Python, and have examples ready that showcase our problem-solving abilities.
✨Tip Number 3
Showcase our communication skills! During interviews, focus on how we can effectively collaborate with stakeholders. Share stories that highlight our ability to translate complex data into actionable insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re genuinely interested in being part of the team at jobr.pro.
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 excited about this opportunity and how your background aligns with the job description. Be sure to mention your experience in stakeholder collaboration and data management.
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 profiling and visualization, as these are key for the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you on board for this exciting opportunity!
How to prepare for a job interview at Wayne State University
✨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.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical business problems using data. Practice articulating your thought process and the steps you would take to analyse data, identify issues, and propose solutions, as this reflects your analytical mindset.
