At a Glance
- Tasks: Drive innovation by providing actionable insights and building analytical tools for data-driven decisions.
- Company: Join Nomia, a forward-thinking organisation prioritising data at the heart of business.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Embrace a culture of inclusivity and continuous learning in a dynamic environment.
- Why this job: Be a key player in transforming Nomia into a data-driven powerhouse.
- Qualifications: 3+ years as a Data Analyst with skills in SQL, Python, and data visualisation tools.
The predicted salary is between 40000 - 50000 £ per year.
The Data Analyst role is critical to promoting data as a key differentiator for Nomia. You will help drive innovation by assisting Nomia in becoming a truly data-driven organisation - putting data at the heart of all business decisions and providing actionable insights across the business.
Responsibilities include:
- Be the platform owner for Nomia's data analytics platform, ThoughtSpot.
- Build dashboards and reporting across various functions, including executive dashboards, financial reporting, and platform insights.
- Assist the business in accessing data that is clean, actionable, and insightful.
- Build analytical tools to help interrogate data from prospective customers and support the Sales team in building business cases.
- Improve Nomia's data governance processes.
- Present your work and findings within the business.
- Stay abreast of advancements in data analytics.
About You:
- 3+ years' experience as a Data Analyst.
- Proficient in SQL and Python.
- Expert at data visualisation using ThoughtSpot (preferred), PowerBI, Tableau, or similar tools.
- Proven experience analysing data, generating insights, and presenting your work.
- Strong communication skills - written and verbal - with the ability to engage both technical and non-technical audiences.
- Experience in procurement or tech companies is preferred.
- Genuine enthusiasm for learning new ideas and techniques.
General:
- Ensure compliance with Nomia's data protection and information security policies.
- Hybrid work model — 3 days per week in office, with flexibility based on training or team needs.
- Promote inclusivity, innovation, and ethical use of AI across the organisation.
- Be adaptable and proactive in learning new tools, techniques, and methods as the AI landscape evolves.
Data Analyst employer: Nomia Ltd
Contact Detail:
Nomia Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Nomia on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your data visualisation projects using tools like ThoughtSpot or Tableau. When you get the chance, present these during interviews to demonstrate your expertise.
✨Tip Number 3
Stay updated on industry trends! Follow data analytics blogs and forums to keep your knowledge fresh. This will not only help in interviews but also show your genuine enthusiasm for the field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Nomia team.
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 SQL, Python, and data visualisation tools like ThoughtSpot. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and how you can help Nomia become a data-driven organisation. Let us know why you're excited about this opportunity and how you can contribute.
Showcase Your Analytical Skills: In your application, include examples of how you've used data to drive insights and decisions in previous roles. We love seeing real-world applications of your skills, 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 your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at Nomia Ltd
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Familiarise yourself with ThoughtSpot, PowerBI, or Tableau, as these are crucial for the role. Being able to discuss your experience with these tools confidently will show that you're ready to hit the ground running.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've analysed data in the past. Think about times when your insights led to actionable outcomes. This will demonstrate your ability to generate insights that can drive business decisions, which is key for Nomia.
✨Communicate Effectively
Since you'll be engaging with both technical and non-technical audiences, practice explaining complex data concepts in simple terms. Use clear examples to illustrate your points, and be ready to answer questions about your findings and methodologies.
✨Stay Current with Trends
Keep yourself updated on the latest advancements in data analytics and AI. Mention any recent trends or tools you've learned about during the interview. This shows your genuine enthusiasm for learning and adapting, which aligns perfectly with Nomia's values.