At a Glance
- Tasks: Drive innovation by providing actionable insights and building dashboards for data-driven decisions.
- Company: Join Nomia, a forward-thinking company prioritising data in every aspect 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 at the forefront of data analytics and make a real impact on business strategies.
- 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.
About the Role
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.
Roles & Responsibilities
- 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 in London employer: NOMIA
At Nomia, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our hybrid working model allows for flexibility, with three days in the office and two days remote, promoting a healthy work-life balance. We are committed to employee growth, offering continuous training and development opportunities, ensuring that our team members thrive in their roles while contributing to meaningful projects that drive efficiency and value for our clients.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in London
✨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! Create a portfolio showcasing your data visualisation projects. Use tools like ThoughtSpot or PowerBI to demonstrate your expertise. This will make you stand out during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and Python skills. Be ready to discuss how you've used these tools in past roles to generate insights and drive decisions. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Nomia team.
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored 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 contribute to making Nomia a data-driven organisation. We love seeing genuine enthusiasm, so let it show!
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's building dashboards or generating insights, we want to know how you've applied your skills in real-world scenarios.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to see what you bring to the table!
How to prepare for a job interview at NOMIA
✨Know Your Tools Inside Out
Make sure you’re well-versed in SQL and Python, as these are crucial for the Data Analyst role. Brush up on your data visualisation skills with ThoughtSpot, PowerBI, or Tableau, and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Analytical Skills
Prepare examples of how you've generated insights from data in previous roles. Be ready to explain your thought process and the impact your findings had on business decisions. This will demonstrate your ability to turn data into actionable insights.
✨Communicate Effectively
Since strong communication skills are key, practice explaining complex data concepts in simple terms. Think about how you can engage both technical and non-technical audiences during your interview, as this will show your versatility.
✨Stay Current with Trends
Familiarise yourself with the latest advancements in data analytics and AI. Being able to discuss current trends and how they could apply to Nomia will show your genuine enthusiasm for the field and your proactive approach to learning.
