At a Glance
- Tasks: Design and build analytical solutions to tackle real business challenges.
- Company: Award-winning digital transformation consultancy based in Edinburgh.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join a collaborative team with excellent career advancement opportunities.
- Why this job: Make a real impact by turning data into actionable insights.
- Qualifications: Proficiency in Python, R, or Power BI; strong data analysis skills.
The predicted salary is between 45000 - 50000 £ per year.
Storm ID is an award-winning Edinburgh-based digital transformation consultancy that helps organisations accelerate their use of digital, data and AI. We believe in tailored solutions, assembling expert teams to address each client's unique needs. Our services span strategy, design, technology and data & AI, ensuring seamless end-to-end delivery of platforms, products and services with real-world impact. What sets us apart is our commitment to long-lasting, data-driven, user-centred change. We enjoy close collaboration between our teams, ensuring projects move smoothly from discovery to design to delivery. We recognise the crucial link between digital and data, creating intelligent services that leverage both. We work with a range of clients across the Scottish and UK public and private sector.
Role overview
As a data analyst, you'll work on projects where you help design and build analytical solutions to real business problems. Day to day, you'll be gathering requirements, finding the right analytical approach, running analyses, and turning your findings into clear insights and recommendations - across all kinds of datasets and business scenarios. You'll be part of a cross-functional team alongside other data analysts, data engineers, and business stakeholders, where your expertise helps drive analytical solutions from start to finish.
Key Responsibilities
- Investigate datasets to identify insights and any challenges such as poor data quality using appropriate analytical techniques
- Leverage advances in data analysis technologies and techniques, particularly those available in modern BI and analytics platforms
- Integrate datasets from multiple sources to enable new types of analyses and insights
- Document, implement and maintain analytical metrics and reporting
- Understand business requirements and translate them into the appropriate analytical approaches
- Apply measurement frameworks to collect data for digital analytics and similar data platforms
- Take part in peer code/analysis reviews
- Participate in in-house 2nd or 3rd line support of analytical applications, working with colleagues in IT and operations
- Follow analytics development best practices including version control, testing, and documentation
- Use AI to augment your work for improved efficiency and quality of output
As part of a cross-functional analytics team:
- Contribute to analytics programmes and projects
- Work with colleagues to translate business requirements into analytics designs and support delivery of solutions
- Help with continuous improvement of data analysis and analytics processes and capabilities
- Understand and apply security and regulatory principles to data collection, management and analysis
- Occasionally you will be involved in the recruitment process for data analyst roles, including reviewing applications, assessments, and participating in interviews
Skills and Experience
- Python, R, or Power BI - proficiency in one or more of these tools is essential
- Data analysis techniques: ability to investigate, clean, and interpret complex datasets
- Familiarity with modern BI and analytics platforms
- Understanding of analytics development best practices (version control, testing, documentation)
- Awareness and interest in digital analytics
- Ability to communicate analytical findings to both technical and non-technical stakeholders
- Knowledge of data security and regulatory frameworks (e.g. GDPR)
- Familiarity with digital analytics tools such as Google Analytics.
Desirable
- Experience working in the public sector is beneficial but not required
- Experience supporting analytical applications in a 2nd or 3rd line capacity
Data Analyst employer: Storm ID
At Storm ID, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Edinburgh. Our commitment to employee growth is evident through tailored development opportunities and a hybrid working model that promotes work-life balance, allowing you to thrive both personally and professionally. Join us to be part of a forward-thinking team dedicated to making a real-world impact through data-driven solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Show Off Your Skills
Create a portfolio showcasing your data analysis projects. Use real-world examples to demonstrate how you've tackled complex datasets and turned them into actionable insights. This will give potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for interviews by practising common data analyst questions and scenarios. Be ready to discuss your analytical approach and how you’ve solved problems in the past. Remember, it’s not just about the technical skills; show your passion for data and collaboration!
✨Apply Through Our Website
Don’t forget to check out our website for the latest job openings! Applying directly through our site can sometimes give you an edge, as we love seeing candidates who are genuinely interested in joining our team at Storm ID.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with Python, R, or Power BI, and showcase any relevant projects where you've turned data into actionable insights. We want to see how you can fit into our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your skills align with our mission at Storm ID. Don’t forget to mention any experience with digital analytics tools like Google Analytics.
Showcase Your Analytical Skills:In your application, give examples of how you've tackled complex datasets and what analytical techniques you've used. We love seeing how you’ve identified insights and solved real business problems, so don’t hold back!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Storm ID
✨Know Your Tools Inside Out
Make sure you’re well-versed in Python, R, or Power BI. Be ready to discuss specific projects where you've used these tools, and how they helped you derive insights from complex datasets. This will show your technical prowess and ability to apply your skills in real-world scenarios.
✨Understand the Business Context
Before the interview, research Storm ID and their approach to digital transformation. Familiarise yourself with their clients and the types of projects they undertake. This will help you tailor your answers to demonstrate how your analytical skills can directly benefit their unique needs.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical data challenges. Practice articulating your thought process when investigating datasets, cleaning data, and deriving insights. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly.
✨Showcase Your Communication Skills
As a data analyst, you'll need to convey complex findings to both technical and non-technical stakeholders. Prepare examples of how you've successfully communicated insights in the past. Highlight your ability to simplify complex concepts and ensure everyone understands the implications of your analysis.
