At a Glance
- Tasks: Build and enhance data platforms to support smart business decisions.
- Company: FreeAgent, a supportive tech company based in Edinburgh.
- Benefits: Flexible working options, comprehensive benefits, and a culture of learning.
- Other info: Great opportunity for career advancement in a dynamic environment.
- Why this job: Join a team that values data-driven decisions and your professional growth.
- Qualifications: Mid-level experience in analytics engineering and strong collaboration skills.
The predicted salary is between 40000 - 50000 £ per year.
FreeAgent is looking for a mid-level Analytics Engineer to join their Edinburgh team. This role focuses on building and enhancing their data platform to support business decisions and ensure data accuracy.
Key responsibilities include:
- Managing data pipelines
- Collaborating with stakeholders
- Promoting data-driven decision-making
The company values learning and offers a supportive culture with flexible working options and a comprehensive benefits package.
Analytics Engineer (Mid Level) — Data Pipelines & BI employer: FreeAgent
FreeAgent is an excellent employer that fosters a supportive and collaborative work culture in the heart of Edinburgh. With a strong emphasis on employee growth, flexible working options, and a comprehensive benefits package, FreeAgent empowers its team to thrive while making impactful contributions to data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer (Mid Level) — Data Pipelines & BI
✨Tip Number 1
Network like a pro! Reach out to current or former employees at FreeAgent on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your work with data pipelines and BI tools. We want to see how you’ve tackled real-world problems and made data-driven decisions.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by brushing up on common analytics questions and scenarios. We can help you with mock interviews to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Analytics Engineer (Mid Level) — Data Pipelines & BI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in data pipelines and BI. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Analytics Engineer position and how you can contribute to our team at FreeAgent.
Showcase Your Collaboration Skills:Since this role involves working with stakeholders, share examples of how you've successfully collaborated in the past. We love seeing teamwork in action!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at FreeAgent
✨Know Your Data Pipelines
Make sure you brush up on your knowledge of data pipelines and how they function. Be ready to discuss your experience with building and enhancing these systems, as well as any tools or technologies you've used. This will show that you're not just familiar with the concepts but have practical experience too.
✨Collaborate Like a Pro
Since the role involves working closely with stakeholders, prepare examples of how you've successfully collaborated in the past. Think about specific projects where your teamwork made a difference. This will demonstrate your ability to communicate effectively and work well within a team.
✨Emphasise Data Accuracy
Data accuracy is crucial for decision-making. Be prepared to talk about how you've ensured data integrity in your previous roles. Share any strategies or processes you've implemented to maintain high standards of data quality, as this will resonate with FreeAgent's focus on supporting business decisions.
✨Show Your Willingness to Learn
FreeAgent values a learning culture, so highlight your eagerness to grow and develop in the role. Discuss any recent courses, certifications, or self-study you've undertaken related to analytics or data engineering. This will show that you're proactive about your professional development and align with their supportive culture.
