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.
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 ResponsibilitiesIn 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.
- Degree or equivalent practical experience in a quantitative discipline such as mathematics, statistics, computer science or software engineering.
- 2+ years' experience in a Data Analyst or similar role.
- Proficiency with SQL, Excel and at least one analytical programming language such as Python or R.
- Understanding of data modelling and statistical analysis.
- Experience creating dashboards and visualisations using tools such as Tableau, Power BI or Looker Studio.
- Strong analytical and problem-solving skills.
- Communicates clearly with technical and non-technical stakeholders and works effectively with colleagues across the business.
- Demonstrates attention to detail and a commitment to producing accurate, reliable data.
- Experience with Databricks or similar data platforms
- Experience working in an agile environment.
- Experience within the education technology sector.
- Familiarity with Confluence or a similar documentation platform.
- Experience using AI tools to improve analysis, reporting or workflow efficiency.
#everway
Join our team and enjoy a competitive salary with bonus opportunities, flexible work schedules, and comprehensive health and wellness benefits. We offer flexible time off plans, career growth through development programs, and a collaborative, innovative culture where your ideas matter. Ready to make an impact? Apply today and be part of a company that invests in your success!
We are committed to providing a Drug-Free Workplace for all employees.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
You can view our Recruitment and Selection Policy here.
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Skills Required
- Degree or equivalent practical experience in mathematics, statistics, computer science, software engineering, or another quantitative discipline
- At least 2 years of experience in a Data Analyst or similar role
- Proficiency with SQL and Excel
- Proficiency with at least one analytical programming language, such as Python or R
- Understanding of data modeling and statistical analysis
- Experience creating dashboards and visualizations with Tableau, Power BI, Looker Studio, or similar tools
- Strong analytical and problem-solving skills
- Clear communication with technical and non-technical stakeholders
- Attention to detail and commitment to accurate, reliable data
- Experience with Databricks or similar data platforms
- Experience working in an agile environment
- Experience in the education technology sector
- Familiarity with Confluence or a similar documentation platform
- Experience using AI tools to improve analysis, reporting, or workflow efficiency
Everway Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Everway and has not been reviewed or approved by Everway.
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Leave & Time Off Breadth — Time-off policies include flexible paid vacation, a birthday day off, wellbeing afternoons, and a paid volunteering day, offering broad opportunities for rest and personal time. The breadth spans standard PTO plus dedicated wellness and volunteering days.
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Wellbeing & Lifestyle Benefits — Wellbeing resources include private health cover with a 24/7 EAP, gym membership, and a distinctive personal development fund alongside professional learning allowances. Flexible work arrangements and an outcomes-over-hours ethos further support work-life balance.
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Parental & Family Support — Support spans paid parental, adoption, and shared parental leave, bereavement leave, and accommodations for carers and medical appointments. Education benefits around fertility and family-forming needs add additional coverage across life stages.
Everway Insights
What We Do
Unlocking the full potential of every person.
