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- Tasks: Build and maintain data pipelines to empower business decisions with accurate data.
- Company: Join a supportive tech company that values collaboration and innovation.
- Benefits: Enjoy flexible working, 33 days holiday, private healthcare, and a great salary package.
- Why this job: Make a real impact by driving data-driven decisions in a dynamic environment.
- Qualifications: Experience with modern data tools and strong SQL skills are essential.
- Other info: Embrace a culture of learning with hack days and opportunities for personal growth.
The predicted salary is between 37000 - 65000 £ per year.
Our Analytics Team
The analytics engineering team’s mission is to empower and enable the business to make rigorous and impactful use of data. The role of analytics engineers is to develop and build on our data platform to ensure we collect and make available the data the business needs, while maintaining accuracy and security. They engage with our colleagues to ensure they have the knowledge and skills to work with data effectively, provide support with questions, and carry out detailed analysis applying specialist knowledge when required. We believe in a learning culture and encourage self-development. Our regular company hack days and wiggle weeks provide a great opportunity for analysts to pursue their own ideas and learn new technologies.
Day to day your role will involve:
- Ownership of data pipelines, data warehouse and BI tooling
- Sourcing, modelling and making available data required to underpin the company strategy and day to day activities
- Maintaining the accuracy and security of our data sources
- Managing stakeholder relationships and priorities in your area of focus
- Promoting pragmatic and effective use of data to drive decision-making
- Training stakeholders across the organisation to improve their use of data
- Supporting stakeholders by carrying out analysis requiring specialist knowledge
- Reducing ambiguity or reconciling disagreement between teams
- Encouraging a culture of experimentation and scientific rigour in the organisation
- Developing and mentoring other members of the team
Our data platform is AWS based and we use modern tooling based around Dagster, dbt, dlt, Redshift and Looker. Prior experience with these tools is beneficial. However, if you have experience with equivalent tools, we’d still love to hear from you. Recruitment is a great chance for us to bring alternate perspectives into the team!
Ideally you’ll have the following skills and experience:
- Proficiency with a modern data platform stack
- You have designed and implemented pipelines to process structured and unstructured data to enable stakeholders to solve business problems
- You can demonstrate proficiency with modern data platform languages and tools such as Python, S3, Redshift, Lambda, Dagster, dbt and dlt
- Business intelligence: You are proficient in SQL for data modelling and transformation
- You have developed data models to enable stakeholders to self-serve business questions by using BI software such as Looker
- Supporting Decision making: You have created appropriately designed reports and visualisations to support non-technical audiences
- You have experience designing, running and analysing the results of A/B tests together with business stakeholders
- Stakeholder management: You have a demonstrable ability to manage your own work backlog in collaboration with leadership and business stakeholders
- You are comfortable working with the team to answer questions from stakeholders
We believe in a strong work-life balance, we don’t work long hours (35 hour working week), and we have a fabulous Edinburgh HQ expertly designed for collaboration including high-quality A/V equipment to provide a great experience for distributed teams. At FreeAgent, we support each other and operate a no-blame culture. Our mindset is: work hard, be nice to people, and the rest will sort itself out!
This is a permanent, full time role (Monday to Friday, 9am to 5pm). This role will be based in our Edinburgh office, however there will be an opportunity to adopt hybrid working, under an agreed pattern of 2 days from the office and 3 days at home each week.
Perks:
- Mid level: Annual starting salary of £37,000 - £45,000 per annum depending on experience, with room to progress to £53,000 within the band.
- Senior level: Annual starting salary of £53,000 - £65,000 per annum depending on experience, with room to progress to £72,000 within the band.
- 33 days holiday (and an extra day for each year you’re with us)
- Flexible/hybrid working
- Private health care
- Life assurance
- 5% matched pension contributions
- Summer 4 day weeks (giving you 8 additional days off!)
- Buy-as-you-earn share schemes
- Sabbatical leave (unpaid)
- Cycle to work scheme
- Wellness webinars
- Focused learning time and learning budgets
- Volunteering day
Find out more about our benefits package!
Analytics Engineer in Edinburgh employer: FreeAgent
Contact Detail:
FreeAgent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. Ask them about their experiences and the company culture. This can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since you'll be working with tools like Python, SQL, and Looker, make sure you can talk confidently about your experience and how you've used these in past projects.
✨Tip Number 3
Show off your problem-solving skills! Be ready to discuss specific challenges you've faced in data engineering and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨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 our team at StudySmarter.
We think you need these skills to ace Analytics Engineer in Edinburgh
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with data platforms and tools mentioned in the job description. We want to see how your skills align with our mission to empower the business through data!
Showcase Your Projects: Include specific examples of projects where you've designed and implemented data pipelines or created reports. This helps us understand your hands-on experience and how you can contribute to our analytics team.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate clarity as much as we value technical skills!
Apply Through Our Website: We encourage you to submit your application directly through our website. This ensures that your application gets to the right people and allows us to process it efficiently. Plus, it’s super easy!
How to prepare for a job interview at FreeAgent
✨Know Your Tools
Familiarise yourself with the tools mentioned in the job description, like AWS, Dagster, dbt, and Looker. If you have experience with similar tools, be ready to discuss how they compare and how you can quickly adapt.
✨Showcase Your Data Skills
Prepare examples of how you've designed and implemented data pipelines or models in the past. Be specific about the challenges you faced and how you overcame them, as this will demonstrate your problem-solving abilities.
✨Engage with Stakeholders
Think of instances where you've successfully managed stakeholder relationships. Be ready to share how you prioritised their needs and communicated effectively, as this role involves a lot of collaboration.
✨Embrace the Learning Culture
Highlight your commitment to self-development and learning. Mention any relevant courses, certifications, or personal projects that showcase your initiative and willingness to grow within the analytics field.
