Analytics Engineer making data an operational tool at Newsec's Göteborg office. Strengthening the use of data and collaborating closely with Product Managers.
About the role
- Senior Analytics Engineer developing scalable analytics models for real-world health data. Leading strategic initiatives and mentoring teams in a hybrid environment in London.
Responsibilities
- Lead development of high-quality analytics data models
- Architect and build scalable, well-governed dbt models in Snowflake, including data marts, metrics, and reusable datasets.
- Define and evolve modelling standards, conventions, and best practices across the organisation.
- Review and guide implementation of models to ensure consistency, scalability, and performance.
- Act as a technical leader and mentor for analytics engineers, analysts, and data scientists.
- Establish best practices for modelling, testing, documentation, and data quality.
- Enable domain teams to safely own and extend their data models within a governed framework.
- Translate complex analytical and research problems into scalable, production-grade data models.
- Shape how metrics and datasets are defined and used across the organisation.
- Influence stakeholders on best practices in data usage, reproducibility, and analytical design.
- Improve data quality, documentation, and reproducibility in workflows
- Design and implement robust testing, monitoring, and alerting frameworks for analytics data.
- Define SLAs and data quality standards in collaboration with platform and data engineering teams.
- Lead root-cause analysis and resolution of data quality issues.
- Own and evolve semantic layers in Snowflake and BI tools (e.g., Omni).
- Define governed approaches to metrics and self-serve analytics.
- Champion adoption through clear documentation, training, and enablement strategies.
- Partner with platform engineers on architecture, performance optimisation, and orchestration.
- Drive improvements in analytics CI/CD, deployment workflows, and developer experience.
- Influence data contracts, ingestion patterns, and overall platform design.
Requirements
- Significant experience in analytics engineering or a closely related field, including experience operating at a senior level.
- Strong business and strategic acumen; able to shape metrics, data models, and analytical approaches.
- Deep expertise in SQL and advanced analytics data modelling.
- Strong experience with dbt in production environments, including project structuring and best practices.
- Experience working with modern data warehouses (e.g., Snowflake, Google Big Query) at scale.
- Proficiency in Python for data workflows, automation, or tooling.
- Proven experience defining and implementing data quality, testing, and governance frameworks.
- Experience mentoring others and providing technical leadership.
- Strong stakeholder management and communication skills, with the ability to influence decision-making.
- Bonus / Desirable • Experience designing and scaling semantic layers and metrics frameworks.
- Exposure to product analytics tools (e.g., Mixpanel, Amplitude).
- Experience contributing to platform-level decisions (e.g., orchestration, CI/CD, performance tuning).
- Experience working in federated or domain-oriented data ownership models (e.g., data mesh).
Benefits
- Competitive base salary from £80,000
- Generous Pension Scheme – We invest in your future with employer contributions of up to 12%
- 30 Days Holiday pro rata + Bank Holidays – Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you
- Enhanced Parental Leave – Supporting you during life’s biggest moments
- Cycle to Work Scheme – Save 25-39% on a new bike and accessories through salary sacrifice
- Home & Tech Savings – Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice
- EV Scheme – Save up to 40% on a brand new electric vehicle all-inclusive package through salary sacrifice
- £1,000 Employee Referral Bonus – Know someone amazing? Get rewarded for bringing them on board!
- Wellbeing Support – Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family
- A Great Place to Work – We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements
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