At a Glance
- Tasks: Lead data analysis and create impactful insights for decision-making.
- Company: Dynamic company focused on data-driven solutions and innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on ethical data practices.
- Why this job: Make a real difference by turning data into actionable insights.
- Qualifications: Strong data analysis skills and experience with SQL and BI tools.
The predicted salary is between 45000 - 55000 € per year.
The Senior Data Analyst will lead analysis within a product, project or business area, ensuring data is prepared, managed, interpreted and communicated effectively. The role supports decision-making through robust analysis, stakeholder engagement and clear visual storytelling. 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
- Lead the development of valuable statistical insights, analytical reports, dashboards and data products.
- Identify, prepare and link data from relevant sources, ensuring it is fit for purpose and reusable where possible.
- Apply appropriate analytical and statistical techniques, and support others in using them effectively.
- Quality assure analytical outputs, data models and reporting logic across the team.
- Communicate insight to technical and non-technical stakeholders, adapting the message to their needs.
- Support data governance, privacy and ethical considerations within the project or service area.
Essential skills and experience
- Strong data analysis experience, including data preparation, modelling, visualisation and reporting.
- Working knowledge of SQL and at least one BI or visualisation platform such as Power BI, Tableau or Looker.
- Ability to apply statistical and analytical techniques to answer business or user questions.
- Experience quality assuring analytical work and explaining limitations or assumptions.
- Strong communication skills with the ability to manage stakeholder expectations.
- Aware of data governance, data ethics, privacy and secure handling of data.
Desirable skills and experience
- Experience with Python, R, dbt, cloud data platforms or ETL/ELT workflows.
- Experience leading small analytical workstreams or mentoring junior analysts.
- Experience working in Agile product, digital transformation or client delivery teams.
What success looks like
- Data is prepared, managed and used effectively to answer priority questions.
- Stakeholders understand the story behind the data and use it to make decisions.
- Analytical outputs are reliable, accessible and aligned to business goals.
Senior Data Analyst employer: AWTG Ltd
As a Senior Data Analyst at our company, you will thrive in a dynamic and collaborative work culture that values innovation and continuous learning. We offer competitive benefits, including professional development opportunities and a commitment to data ethics, ensuring you can grow your skills while making a meaningful impact on client outcomes. Located in a vibrant area, our workplace fosters creativity and teamwork, making it an excellent environment for those looking to advance their careers in data analysis.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects. Use visual storytelling to make your insights pop and grab attention.
✨Tip Number 3
Prepare for interviews by practising common questions related to data analysis. Be ready to discuss your experience with SQL, BI tools, and how you’ve tackled real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team and making an impact with their data skills.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Senior Data Analyst role. Highlight your data analysis experience, especially with SQL and BI tools like Power BI or Tableau. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us about your passion for data analysis and how you've led projects or mentored others. Show us your communication skills by adapting your message to our team’s needs.
Showcase Your Analytical Skills:In your application, don’t just list your skills—demonstrate them! Share examples of how you've applied statistical techniques or quality assured analytical outputs. We love seeing real-world applications of your expertise.
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’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at AWTG Ltd
✨Know Your Data Inside Out
Before the interview, dive deep into your past data analysis projects. Be ready to discuss specific examples where you prepared, managed, and interpreted data. Highlight how your insights led to decision-making and practical outcomes, as this aligns perfectly with what they’re looking for.
✨Master the Tools of the Trade
Make sure you're comfortable with SQL and at least one BI tool like Power BI or Tableau. Brush up on your skills and be prepared to discuss how you've used these tools in previous roles. If you have experience with Python or R, don’t forget to mention that too!
✨Communicate Like a Pro
Practice explaining complex data concepts in simple terms. You’ll need to adapt your communication style for both technical and non-technical stakeholders. Think of examples where you successfully conveyed insights and how it impacted decision-making.
✨Showcase Your Quality Assurance Skills
Be ready to talk about how you ensure the quality of your analytical outputs. Discuss any experiences you have with quality assurance processes and how you’ve handled limitations or assumptions in your work. This will demonstrate your attention to detail and commitment to delivering reliable results.
