At a Glance
- Tasks: Prepare and analyse data to help clients make informed decisions.
- Company: AWTG, a forward-thinking company focused on data-driven solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on ethical data handling and career advancement.
- Why this job: Join a dynamic team and turn data into impactful insights for real-world applications.
- Qualifications: Experience in data analysis and proficiency in Excel, SQL, or BI tools.
The predicted salary is between 30000 - 40000 € per year.
The Data Analyst will prepare, analyse and communicate data to help AWTG and its clients make better decisions. The role involves working with data sources, producing reports and visualisations, and translating data into clear insight for delivery teams and stakeholders. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users.
Key responsibilities
- Collect, prepare, clean and manage data from a range of systems and sources.
- Analyse data using appropriate tools, techniques and quality assurance standards.
- Build reports, dashboards and visualisations that tell a focused and accessible story.
- Work with stakeholders to understand business questions and identify the data needed to answer them.
- Document analytical approaches, assumptions and limitations so outputs are repeatable and trusted.
- Support data governance, privacy and ethical handling of data in line with project requirements.
Essential skills and experience
- Experience preparing, analysing and presenting data for business or operational decision-making.
- Good working knowledge of Excel, SQL, BI tools or equivalent analytical platforms.
- Ability to identify data quality issues and prepare data so it is fit for purpose.
- Ability to communicate technical findings in plain language to non-technical stakeholders.
- Understanding of basic statistical or analytical techniques and quality assurance practices.
- Aware of data protection, privacy and secure handling of sensitive information.
Desirable skills and experience
- Experience with Power BI, Tableau, Looker Studio, Python or R.
- Experience in digital products, public‑sector services or consultancy environments.
- Knowledge of Agile delivery, Jira/Confluence or multidisciplinary working.
What success looks like
- Analysis is accurate, timely and clearly aligned to stakeholder questions.
- Dashboards and reports are understandable, useful and accessible.
- Data quality issues are identified early and handled transparently.
Data Analyst employer: AWTG Ltd
AWTG is an exceptional employer that fosters a collaborative and innovative work culture, where Data Analysts can thrive by engaging with multidisciplinary teams to deliver impactful insights. With a strong emphasis on employee growth, AWTG offers continuous learning opportunities and encourages the use of cutting-edge analytical tools, all while prioritising data governance and ethical practices. Located in a vibrant area, employees benefit from a supportive environment that values their contributions and promotes meaningful work.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, reports, and visualisations. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions and scenarios. Practice explaining your analytical process in simple terms, so even non-technical folks can understand your insights.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a better chance of landing that interview.
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 data preparation, analysis, and any tools like Excel or SQL that you’ve used. 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! Use it to explain why you’re passionate about data and how you can help us make better decisions. Don’t forget to mention any relevant projects or experiences that showcase your analytical skills.
Showcase Your Analytical Skills:In your application, be sure to include examples of how you've used data to solve problems or improve processes. We love seeing real-world applications of your skills, so don’t hold back on sharing your successes!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at AWTG Ltd
✨Know Your Data Tools
Make sure you brush up on your skills with Excel, SQL, and any BI tools mentioned in the job description. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of data analysis.
✨Communicate Clearly
Practice explaining complex data findings in simple terms. You might be asked to present your insights to non-technical stakeholders, so being able to translate technical jargon into plain language is key. Think about examples where you've done this successfully before.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific data quality issues or stakeholder requests. Prepare some scenarios from your past experiences where you identified data problems and how you resolved them. This will demonstrate your problem-solving skills and attention to detail.
✨Show Your Team Spirit
Since the role involves working with multidisciplinary teams, be ready to discuss your experience collaborating with others. Share examples of how you've worked with different departments to achieve a common goal, highlighting your ability to communicate and work effectively in a team setting.
