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- Tasks: Build and maintain data pipelines to empower business decisions with accurate data.
- Company: Join FreeAgent, a leading UK online accounting software provider in a collaborative environment.
- Benefits: Enjoy 33 days holiday, flexible working, private healthcare, and a supportive culture.
- Why this job: Make a real impact by using data to drive decision-making and innovation.
- Qualifications: Experience with data platforms, SQL, and modern tools like Python and Looker.
- Other info: Embrace a learning culture with hack days and opportunities for personal development.
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: 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 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:
- 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 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.
Skills and experience:
- 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 — 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 — 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 — 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
Work pattern: This is a permanent, full time role (Monday to Friday, 9am to 5pm). The role will be based in our Edinburgh office, with an opportunity to adopt hybrid working (2 days in the office and 3 days at home each week).
Benefits and culture: 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 designed for collaboration with high-quality A/V equipment for distributed teams. FreeAgent supports a no-blame culture: work hard, be nice to people, and the rest will sort itself out.
Salary bands: Mid level: starting salary £37,000 - £45,000 per annum, with room to progress to £53,000 within the band. Senior level: starting salary £53,000 - £65,000 per annum, with room to progress to £72,000 within the band. Salaries are typically linked to performance within the band.
Benefits include (but are not limited to): 33 days holiday (plus an extra day per year), flexible/hybrid working, private health care, life assurance, 5% matched pension contributions, summer four-day weeks, buy-as-you-earn share schemes, sabbatical leave (unpaid), cycle to work scheme, wellness webinars, focused learning time and learning budgets, volunteering day.
About FreeAgent: FreeAgent aims to remove the stress and pain of dealing with business finances. Since 2007, we have grown to be a leading UK online accounting software provider with over 200,000 customers. We are an equal opportunities employer and strongly encourage applications from people with varied backgrounds and perspectives. All applicants are considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, age, disability, family or parental status.
We hope the detail in our job advertisements is informative but not limiting. If you feel you meet some but not all criteria, we encourage you to apply.
Analytics Engineer employer: FreeAgent
Contact Detail:
FreeAgent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨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 any tools mentioned in the job description. We want to see you shine!
✨Tip Number 3
Show off your problem-solving skills! Be ready to discuss past projects where you tackled complex data challenges. Use specific examples to demonstrate how you made an impact.
✨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 FreeAgent.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Analytics Engineer role. Highlight your experience with data pipelines, BI tools, and any relevant programming languages like Python or SQL.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data and how you can contribute to our team. Share specific examples of past projects or challenges you've tackled that relate to the job description.
Showcase Your Technical Skills: Don’t forget to mention your familiarity with tools like Dagster, dbt, and Looker. If you’ve worked with similar technologies, let us know! We love seeing how your unique background can fit into our tech stack.
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.
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, and Looker. If you have experience with similar tools, be ready to discuss how those skills can transfer. This shows you're adaptable and keen to learn.
✨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. This will demonstrate your problem-solving abilities and technical expertise.
✨Engage with Stakeholders
Think of instances where you've successfully managed stakeholder relationships. Be ready to discuss how you prioritised their needs and communicated effectively. This is crucial for the role, so showing your interpersonal skills will set you apart.
✨Embrace the Learning Culture
Since the company values self-development, come prepared to talk about how you pursue learning opportunities. Mention any relevant courses, hack days, or personal projects that showcase your commitment to growth and experimentation.
