Analytics Engineer shaping Statista's reporting platform for data - driven decision - making. Focusing on BI tools like Power BI and improving report usability and transparency.
About the role
- Analytics Engineer modelling and productionising data assets for Rightmove's analytics platform. Collaborating with teams to standardise metrics and elevate data quality while enabling self-serve analytics.
Responsibilities
- Model, build, and productionise robust data assets using dbt and BigQuery
- Maintain and evolve the semantic layer in Looker to support consistent, self-serve analytics
- Ensure data is transformed, tested, and of high quality before consumption by downstream users
- Collaborate with analysts, product managers, and engineers to understand requirements and deliver trusted data models
- Document and expose data assets in a way that is easy to understand and use
- Apply and advocate engineering best practices across analytics codebases
- Maintain the data catalogue and support a single source of truth for analytics
- Analyse workflows and collaborate with data engineers to improve performance and maintainability
- Be proactive in identifying opportunities to reduce complexity and cost across the data platform
- Participate in agile ceremonies, including sprint planning, refinement, and retrospectives
Requirements
- 3–5 years of proven experience in analytics engineering or data modelling, working on production-grade data models and semantic layers within a large-scale, cloud-based data platform
- Has hands-on experience with dbt and understands modular data modelling best practices
- Is confident writing and optimising complex SQL queries in BigQuery (or Redshift/Snowflake)
- Has experience working with Looker (Core) and maintaining semantic layers (LookML)
- Has worked in a production environment where data models are used to power business-critical reporting and dashboards
- Understands the importance of documentation, testing, and version control (Git) in analytics workflows
- Has experience working in a cloud-native environment - GCP highly preferred, also AWS
- Optimistic, curious and gets excited by tech, enjoys keeping up with current trends.
- Actively gets involved and enjoys contributing to tech events
- Is proactive, communicative, and comfortable contributing to technical discussions and design decisions
- Brings a collaborative and curious mindset, and enjoys working in cross-functional teams
Benefits
- Cash plan for dental, optical and physio treatments
- Private Medical Insurance, Pension and Life Insurance, Employee Assistance Plan
- 27 days holiday plus two (paid) volunteering days a year to give back, and holiday buy schemes
- Hybrid working pattern with 2 days in office
- Contributory stakeholder pension
- Life assurance at 4x your basic salary to a spouse, family member or other nominated person in your life
- Competitive compensation package
- Paid leave for maternity, paternity, adoption & fertility
- Travel Loans, Bike to Work scheme, Rental Deposit Loan
- Charitable contributions through Payroll Giving and donation matching
- Access deals and discounts on things like travel, electronics, fashion, gym memberships, cinema discounts and more
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Director of Data & Analytics leading data strategy for Reach Financial, enhancing decision - making through a data - driven culture. Guiding a team to innovate and implement scalable data solutions.
Data Scientist creating scalable insights from unstructured data at AI safety company. Collaborating with engineering and research teams in a hybrid Paris location.
Senior Analytics Engineer owning the analytics data platform for parenting technology startup. Requires deep SQL expertise and data pipeline experience in a hybrid role.
Senior Analytics Engineer at Higgsfield AI translating product and finance metrics into data models. Collaborating cross - functionally to ensure consistent, reliable data for decision - making.
Senior Data Analytics Developer for Krux, building data infrastructure for innovative SaaS solutions in mining industry. Collaborating with a self - motivated team to drive company growth.
Lead Risk Analytics Consultant at Wells Fargo focused on model governance and risk management strategies. Collaborate across teams to enhance system stability and mentor junior staff.
Analytics Engineering Lead responsible for building data products at Sanlam Fintech. Overseeing analytics engineering practice modernization and talent development within the organization.
Analytics Engineer foundational technical pillar for Analytics & Data Engineering at Skin + Me, transforming raw data into a strategic engine for growth. Reporting to the Director of Data and optimizing performance across business units.
Senior Analytics Engineer at RB Global designing domain models and leading KPI efforts. Optimizing data performance and mentoring analytics engineers in a hybrid work environment.