At a Glance
- Tasks: Develop and maintain data pipelines, ensuring accuracy and security for impactful business decisions.
- Company: Join a supportive tech company in Edinburgh with a focus on collaboration and innovation.
- Benefits: Enjoy competitive salary, flexible working, 33 days holiday, and wellness perks.
- Other info: Embrace a culture of experimentation and enjoy excellent career growth opportunities.
- Why this job: Make a real impact by empowering teams to leverage data effectively and drive decision-making.
- Qualifications: Experience with modern data tools and proficiency in SQL; passion for learning is key.
The predicted salary is between 37500 - 48000 £ per year.
Department: Engineering
Employment Type: Permanent - Full Time
Location: Edinburgh
Reporting To: Dave Evans
Compensation: £37,500 - £48,000 / year
Description
Our Analytics Team: The analytics engineering team’s mission is to empower and enable the business to make rigorous and impactful use of data. You can read more about our work on our engineering blog. After successfully hiring recently, we're now looking for an analytics engineer to come in at mid level. 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
Applicants
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.
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 in a commercial setting
- 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.
One last thing, FreeAgent is moving house! From early next year we’ll be in our swanky new pad to the west of Edinburgh, with superb employee facilities and close to multiple transport links. We’ll share more details with you as you go through the hiring process.
Perks:
- Mid level annual starting salary of £37,500 - £48,000 per annum depending on experience, with room to progress to £55,500 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
Analytics Engineer (Mid level) employer: FreeAgent Holdings Ltd.
At FreeAgent, we pride ourselves on being an exceptional employer, offering a supportive and collaborative work culture in our beautifully designed Edinburgh HQ. With a strong emphasis on employee growth, we provide numerous opportunities for professional development, flexible working arrangements, and a generous benefits package that includes 33 days of holiday and wellness initiatives, ensuring a healthy work-life balance. Join us to be part of a team that values innovation, learning, and a no-blame culture where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer (Mid level)
✨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 AWS, make sure you can talk confidently about your experience and how you've used these in past projects.
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to discuss specific challenges you've faced in data analytics and how you tackled them. This will demonstrate your ability to think critically and adapt.
✨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 (Mid level)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Analytics Engineer role. Highlight your experience with data platforms and tools like Python, SQL, and AWS. We want to see how your skills align with our mission to empower data-driven decision-making!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for analytics and how you can contribute to our team. Don’t forget to mention any relevant projects or experiences that showcase your ability to manage data pipelines and stakeholder relationships.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex data challenges in the past. We love candidates who can demonstrate their analytical thinking and creativity in solving business problems using data.
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 during the hiring process. Plus, we can’t wait to hear from you!
How to prepare for a job interview at FreeAgent Holdings Ltd.
✨Know Your Tools Inside Out
Make sure you’re familiar with the tools mentioned in the job description, like Python, SQL, and AWS. Brush up on your experience with Dagster, dbt, and Looker, as these will likely come up in conversation. Being able to discuss specific projects where you've used these tools will really impress the interviewers.
✨Showcase Your Stakeholder Management Skills
Prepare examples of how you've managed relationships with stakeholders in previous roles. Think about times when you’ve had to balance competing priorities or resolve conflicts. This will demonstrate your ability to work collaboratively and effectively within a team, which is crucial for this role.
✨Demonstrate Your Analytical Mindset
Be ready to discuss how you approach data analysis and problem-solving. You might be asked to walk through a case study or a past project where you had to analyse data to support decision-making. Highlight your experience with A/B testing and how you’ve used data to drive business outcomes.
✨Embrace the Learning Culture
Since the company values self-development and experimentation, share your enthusiasm for learning new technologies and methodologies. Talk about any recent courses or projects you’ve undertaken to improve your skills. This shows that you align with their culture and are eager to contribute to their innovative environment.
