Senior Analytics Engineer
- Partner with stakeholders across the business to understand their goals and turn questions into data-driven insights
- Lead complex analyses and help teams make better decisions with clear, actionable recommendations
- Own and evolve the dbt models that feed our reporting layer - ensuring data is reliable, well-structured, and documented
- Build and maintain dashboards and visualisations in tools like Tableau
- Identify and resolve data quality issues through testing and proactive improvements
- Mentor junior team members and help shape our data modelling standards and best practices
- We're pragmatic about our technology choices. These are some of the things we use at the moment:
- 🗃 Python, DBT, Tableau
- 🗄 PostgreSQL, BigQuery, MySQL
- pytest
- AWS, GCP
- Docker, Terraform, GitHub, GIT
- Collaborate - We work in cross-functional, mission driven, autonomous squads that gel over time. We pair program to work better through shared experience and knowledge.
- Focus on outcomes over outputs - Solving a problem for users that translates to business results is our goal. Measurements focused on that goal help us to understand if we are succeeding.
- Practice continuous improvement - We optimise for feedback now, rather than presume what might be needed in the future and introduce complexity before it will be used. This means we learn faster. We share learnings in blame-free formats, so that we do not repeat things that have failed, but still have confidence to innovate.
- Seek to understand our users - We constantly seek understanding from data and conversations to better serve our users' needs, taking an active part in research to hear from them directly and regularly.
- Embrace and enable continuous deployment - Seamless delivery of changes into an environment - without manual intervention - is essential for us to ensure that we are highly productive; consider resiliency; and practice security by design.
- Test outside-in, test first - TDD keeps us confident in moving fast, and deploying regularly. We want to solve user problems, and so we test with that mindset - writing scenarios first, then considering our solution; coupling tests to behaviour, rather than implementation.
- You build it, you run it - We embrace DevOps culture and end-to-end ownership of products and features. Every engineer, regardless of their role, has the opportunity to lead delivery of features from start to finish.
- Be cloud native - We leverage automation and hosted services to deliver resilient, secure services quickly and consistently. Where SaaS tools help us achieve more productivity and better quality results for a cheap price, we use these to automate low value tasks.
- We embrace difference and know that when we can be ourselves at work, we are happier, more motivated and creative. We want to be able to bring our whole selves to work, have our own perspectives and know that we belong. As such, through your behaviours at work, we expect you to reflect and actively sustain a healthy engineering environment that looks like this:
- A wide range of voices heard to the benefit of all
- Teams that are clearly happy, engaged, and laugh together
- Perceivable safety to have an opinion or ask a question
- No egos - people listen to and learn from others at all levels, with strong opinions held loosely
- This role offers the opportunity to work closely with the team, requiring 3 days per week in the office to foster hands-on collaboration and innovation.
- Work-life balance - 25 days holiday (plus bank holidays) each year, and enhanced family leave allowances.
- Competitive salary & equity 🏦 - We want people to have a serious stake in the business.
- Good kit - Your choice of the best laptop, running macOS or Ubuntu.
- Team socials - The opportunity to get to know each other outside of work.
- Company socials - A chance to catch up and meet new colleagues weekly over informal office breakfasts and dinners on OakNorth - or at our free barista bar every day.
- Commuter support - We offer the cycle to work & EV scheme
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