This is a fully remote position, open to applicants in United Kingdom.

• Gather, clean, and analyze data from diverse sources.

• Assist in maintaining data quality, accuracy, and consistency.

• Create and uphold data models, dashboards, and reports.

• Collaborate with stakeholders to comprehend data needs and business inquiries.

• Examine trends and patterns to produce actionable insights.

• Clearly present findings to both technical and non-technical audiences.

• Support data-driven initiatives throughout the organization.

• Aid in the design and implementation of data-driven solutions.

• Stay informed about advancements in data analysis tools and best practices.

• Partner with colleagues across Information Systems and other departments to facilitate operational, commercial, and product decisions.

• A degree or equivalent practical experience in a quantitative field such as mathematics, statistics, computer science, or software engineering.

• Over 2 years of experience in a Data Analyst role or a similar position.

• Proficiency in SQL, Excel, and at least one analytical programming language like Python or R.

• Knowledge of data modeling and statistical analysis techniques.

• Experience in creating dashboards and visualizations using tools such as Tableau, Power BI, or Looker Studio.

• Strong analytical and problem-solving capabilities.

• Ability to communicate effectively with both technical and non-technical stakeholders.

• Capacity to work collaboratively with colleagues across the organization.

• Attention to detail and a commitment to delivering accurate, reliable data.

• Familiarity with Databricks or similar data platforms.

• Experience working in an agile environment.

• Background in the education technology sector.

• Familiarity with Confluence or a comparable documentation platform.

• Experience utilizing AI tools to enhance analysis, reporting, or workflow efficiency.

• Must be based in the UK; this role is offered as Remote - UK.

• Competitive salary with bonus potential.

• Flexible work schedules.

• Comprehensive health and wellness benefits.

• Flexible time-off plans.

• Opportunities for career growth through development programs.

• A collaborative and innovative culture.

• Access to modern tools.

• Clear expectations and a focused work environment.

Data Analyst

People also viewed