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- Tasks: Manage data pipelines and support stakeholders in making data-driven decisions.
- Company: Leading UK online accounting software provider with a focus on innovation.
- Benefits: Flexible hybrid working, robust benefits package, and strong work-life balance.
- Why this job: Join a dynamic team and promote a culture of experimentation in data analytics.
- Qualifications: Experience with modern data tools and languages, plus analytical skills.
- Other info: Exciting opportunity for career growth in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading UK online accounting software provider is seeking an Analytics Engineer to manage data pipelines and support stakeholders in making data-driven decisions. The ideal candidate will have experience with modern data tools and languages, support analysis, and promote a culture of experimentation. This full-time role based in Edinburgh offers flexibility with hybrid working options and a robust benefits package fostering strong work-life balance.
Analytics Engineer: Data Pipelines & BI Insights (Hybrid) employer: FreeAgent
Contact Detail:
FreeAgent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer: Data Pipelines & BI Insights (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and BI insights projects. This is your chance to demonstrate your experience with modern data tools and languages, making it easier for employers to see what you bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions related to analytics and data management. We recommend using real-world scenarios from your past experiences to illustrate how you've supported stakeholders in making data-driven decisions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Analytics Engineer: Data Pipelines & BI Insights (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data tools and languages relevant to the role. We want to see how your skills align with managing data pipelines and supporting stakeholders.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data-driven decision-making. Share examples of how you've promoted a culture of experimentation in your previous roles.
Showcase Your Projects: If you've worked on any projects involving analytics or BI insights, make sure to include them in your application. We love seeing real-world applications of your skills!
Apply Through Our Website: For the best chance of success, apply directly through our website. This way, we can easily track your application and get back to you quicker!
How to prepare for a job interview at FreeAgent
✨Know Your Data Tools
Make sure you’re well-versed in the modern data tools and languages mentioned in the job description. Brush up on your knowledge of data pipelines and BI insights, as you might be asked to discuss specific tools you've used and how they’ve helped you support analysis.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in previous roles. Think about times when you promoted a culture of experimentation or made data-driven decisions that positively impacted your team or project. This will demonstrate your analytical mindset and ability to support stakeholders effectively.
✨Understand the Company’s Mission
Research the company’s values and mission, especially their focus on providing online accounting solutions. Being able to articulate how your skills align with their goals will show that you’re genuinely interested in the role and can contribute to their success.
✨Prepare Questions for Them
Have a few thoughtful questions ready to ask at the end of your interview. This could be about their approach to data-driven decision-making or how they foster a culture of experimentation. It shows that you’re engaged and eager to learn more about how you can fit into their team.
