This is a remote role; however, the candidate should be based near Farnborough or Greater Manchester, as travel to our offices will be required on an ad-hoc basis.
About Us
i6 delivers cutting-edge SaaS solutions that transform aviation refuelling operations worldwide. Our platform streamlines planning, dispatch, compliance, and real-time data capture for fuel suppliers, FBOs, airports, and airlines. We enable our customers to run safer, faster, and more efficient refuelling operations.
Our Culture
We’re a team of aviation and technology enthusiasts who believe in making complex operations simple and reliable. We value transparency, accountability, and collaboration across all functions — from engineering to front-line support. In our fast-paced but supportive environment, every voice matters, and ideas are welcomed no matter where they come from. We invest in our people, encourage continuous learning, and celebrate innovation that improves safety, efficiency, and the customer experience. If you’re excited by mission-critical challenges and want your work to have a visible impact on global aviation operations, you’ll feel at home in i6.
The Data Analyst will play a crucial part in transforming raw data into actionable insights that drive strategic decision-making across the business. Working with a variety of data sources, you will implement robust data models, ensure the quality and integrity of our data landscape, and contribute to a data-driven culture. This role includes some data engineering responsibilities to support our data infrastructure.
The Data Analyst is responsible for designing, developing, and maintaining efficient and scalable data models using dbt and writing complex SQL queries to extract and transform data. The role involves developing insightful data visualisations and dashboards, defining data quality metrics, and collaborating with stakeholders to translate their needs into analytical solutions. A key aspect is contributing to and maintaining our data infrastructure following best practices, including version control with Git/GitHub and contributing to CI/CD pipelines.
What you will be doing
- Design, develop, and maintain efficient and scalable data models using dbt.
- Write complex and optimised SQL queries to extract, transform, and load data.
- Develop insightful and user-friendly data visualisations and dashboards using tools such as Looker or Power BI.
- Define and implement data quality metrics, monitoring systems, and processes to ensure data accuracy and reliability.
- Collaborate with stakeholders across multiple domains to understand their data needs and translate them into analytical solutions.
- Document data models, processes, and analyses clearly and comprehensively.
- Contribute to and maintain our data infrastructure following best-practice coding standards, including version control with Git/GitHub and contributing to CI/CD pipelines.
- Work in an Agile team, using tools such as JIRA for task management and Confluence for documentation.
Delivery
- Deliver analytical solutions to agreed timelines and ensure you raise any issues early with your manager. Contribute to the team's CI/CD pipelines for automated data testing and deployment. Question and, where necessary, challenge constructively any instruction believed not to be in the best interest of the business or its customers.
Stakeholder Management
- Collaborate effectively with stakeholders across multiple domains to understand data needs. Communicate technical concepts and findings clearly to both technical and non-technical audiences. Provide excellent customer service at every opportunity both internally and externally.
Risk and Compliance
- Ensure data accuracy and reliability by defining and implementing data quality metrics and processes. Adhere to best-practice coding standards, including version control with Git/GitHub. Protect the security of all company and customer data/information at all times.
Personal Development and Outlook
- Show a proactive approach to identifying data-driven opportunities and contribute to a data-driven culture. Maintain a positive, can-do attitude and constructively challenge requests that may be achieved in a more effective manner. Interpret complex datasets, identify trends, and draw actionable conclusions.
Experience & Skills Needed
- 3-4+ years of experience as a Data Analyst.
- Strong proficiency in SQL and experience working with relational databases.
- Solid understanding of data modelling principles (e.g., star/snowflake schema) and data warehousing principles.
- Hands-on experience with dbt for data transformation and modelling.
- Experience in defining and implementing data quality metrics and a strong understanding of data quality concepts.
- Proven track record of creating insightful, user-friendly dashboards using Looker, Power BI, or similar.
- Familiarity with coding best practices, including version control using Git/GitHub and exposure to CI/CD workflows.
- Experience working in an agile environment and using tools such as JIRA and Confluence.
- Understanding of NoSQL and unstructured data.