Data Analyst

About this role

Every mind is unique. Yet much of the world is still built for what’s considered "normal," leaving too many people behind. At Everway, we change that by creating technology that helps everyone understand and be understood. By understanding and addressing the unique needs of each individual, we're creating a world where differences are recognized and valued. Our careers fit real life. When you join us, you’re not just taking a job.

You’re joining a movement to build a more neuroinclusive world. We’re a global community of over 800 employees spanning North America, UK, Europe, Australia, and New Zealand. A career here is purposeful and fast-moving, with clear expectations, modern tools, and the clarity to focus on what matters most. Our people are supported and encouraged to show up as they are, with different ways of thinking welcomed and valued.

We pride ourselves on our core values that are embedded within our culture. These are to be curious, have courage, and commit fully . Join us at Everway - together, we can unlock the full potential of every mind. About the role Everway is building a modern data capability to help teams make better decisions across the business. As a Data Analyst, you'll work with colleagues across Information Systems and other functions to transform data into meaningful insight that supports operational, commercial and product decisions.

You'll be part of our Data Team, helping maintain high-quality data, developing reporting, and identifying trends that enable the business to act with confidence. Main Responsibilities In this role, you will: Collect, clean and analyse data from a variety of sources. Help maintain data quality, accuracy and consistency. Develop and maintain data models, dashboards and reports. Work with stakeholders to understand data requirements and business questions.

Analyse trends and patterns to generate actionable insights. Present findings clearly to both technical and non-technical audiences. Support data-driven initiatives across the business. Contribute to the design and implementation of data-driven solutions. Keep up to date with developments in data analysis tools and best practice. Essential Criteria Degree or equivalent practical experience in a quantitative discipline such as mathematics, statistics, computer science or software engineering.