At a Glance
- Tasks: Develop and maintain data platforms to empower business decisions with accurate data.
- Company: Join FreeAgent, a supportive tech company in Edinburgh with a no-blame culture.
- Benefits: Enjoy 33 days holiday, flexible working, private healthcare, and a competitive salary.
- Other info: Great career growth opportunities and a vibrant office space in a new location.
- Why this job: Make a real impact by driving data-driven decisions in a collaborative environment.
- Qualifications: Experience with modern data tools and proficiency in SQL for data modelling.
The predicted salary is between 53000 - 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:
- Analytics engineers 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
You:
- 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.
- 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
Our work life:
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!
Work pattern for this role:
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:
- Annual starting salary of £53000 - £65000 per annum depending on experience, with room to progress to £72000 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 here!
Senior Analytics Engineer employer: FreeAgent Holdings Ltd.
At FreeAgent, we pride ourselves on fostering a supportive and collaborative work environment in our Edinburgh HQ, where a strong work-life balance is paramount. With a commitment to employee growth through learning opportunities, flexible working arrangements, and a culture that encourages innovation, we ensure that our team members thrive both personally and professionally. Our competitive salary packages, generous holiday allowances, and unique perks like summer 4-day weeks make us an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about data pipelines, SQL, and the tools mentioned in the job description. Practice makes perfect!
✨Tip Number 3
Show off your problem-solving skills during interviews. Be ready to discuss how you've tackled data challenges in the past. Real-life examples will make you stand out!
✨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!
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your proficiency with data platforms and any relevant tools like Python, SQL, or Looker. We want to see how you can contribute to our analytics team!
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 your previous experiences align with our mission at StudySmarter. Don’t forget to mention any unique perspectives you bring to the table.
Showcase Your Projects:If you've worked on any relevant projects, whether in a professional setting or during your own time, make sure to include them. We love seeing how you've applied your skills in real-world scenarios, especially if they involve data pipelines or BI tools.
Follow Our Application Process:Before hitting that 'apply' button, check out our hiring process to ensure you’ve included all the necessary information. Applying through our website is the best way to get your application in front of us, so don’t miss out!
How to prepare for a job interview at FreeAgent Holdings Ltd.
✨Know Your Tools
Familiarise yourself with the specific tools mentioned in the job description, like AWS, Dagster, dbt, and Looker. If you have experience with similar tools, be ready to discuss how those skills can transfer to this role.
✨Showcase Your Data Skills
Prepare examples of how you've designed and implemented data pipelines or models in the past. Be ready to explain your thought process and the impact your work had on decision-making within your previous teams.
✨Engage with Stakeholders
Think about times when you've managed stakeholder relationships effectively. Be prepared to share how you prioritised their needs and resolved any conflicts, as this role involves a lot of collaboration.
✨Embrace the Learning Culture
Highlight your commitment to continuous learning and self-development. Share any experiences from hack days or projects where you experimented with new technologies, as this aligns with the company's values.
