Data Analyst
- cambridge, cambridgeshire, CB2 1GA, United Kingdom
- Permanent·Remote
- Full time
- £55,000 - £55,000 Per Annum
Job Description
About the Role
Our client is looking for a skilled and analytical Data Analyst to join their innovative team, operating in a remote-first capacity and serving clients associated with Cambridge . This role is crucial for transforming complex datasets into actionable insights that drive strategic business decisions. You will be responsible for collecting, cleaning, analyzing, and interpreting data, presenting your findings through clear reports and visualizations. This position offers the chance to work on diverse projects, utilize cutting-edge analytical tools, and make a significant impact from a remote location.
Key Responsibilities
- Collect, clean, and pre-process large datasets from various sources.
- Perform in-depth data analysis using statistical techniques and data mining tools.
- Develop and implement databases, data collection systems, and other strategies that optimize statistical efficiency and quality.
- Interpret data, analyze results using statistical techniques, and provide ongoing reports and insights.
- Create compelling data visualizations and dashboards to communicate findings to stakeholders.
- Collaborate with cross-functional teams to understand data needs and deliver relevant insights.
Requirements
- Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
- Proven experience as a Data Analyst or in a similar role.
- Proficiency in SQL, Python or R for data analysis.
- Strong knowledge of statistical methodologies and data modeling.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Excellent analytical, problem-solving, and critical thinking skills.
Benefits
- Competitive salary and performance bonuses.
- Fully remote working arrangement, offering maximum flexibility.
- Comprehensive health, dental, and vision insurance.
- Opportunities for professional growth and development in data analytics.
- Collaborative and intellectually stimulating work environment.


