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: Hybrid work model, flexible hours, 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 employer: NOMIA
Contact Detail:
NOMIA 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 might even lead to a referral, which is always a bonus!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisation projects. Use tools like ThoughtSpot or Tableau to demonstrate your expertise. This will make you stand out when you get the chance to present your work.
✨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. Practice explaining complex data concepts in simple terms to engage both technical and non-technical folks.
✨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 team at Nomia.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role at Nomia. Highlight your experience with SQL, Python, and data visualisation tools like ThoughtSpot. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your enthusiasm for data and how you can contribute to making Nomia a data-driven organisation. We love seeing genuine passion for the role.
Showcase Your Analytical Skills: In your application, include examples of how you've used data to generate insights and drive decisions in previous roles. We’re looking for candidates who can demonstrate their analytical prowess!
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 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 and present them effectively, which is key for the role.
✨Communicate Clearly
Since you'll be engaging with both technical and non-technical audiences, practice explaining complex data concepts in simple terms. This will highlight your strong communication skills and your ability to make data accessible to everyone in the business.
✨Stay Updated on Trends
Research the latest advancements in data analytics and be prepared to discuss how they could benefit Nomia. Showing genuine enthusiasm for learning new ideas and techniques will reflect your proactive attitude and adaptability, which are highly valued in this role.