
Data Analyst
- Surrey
- £50,000-60,000 per year
- Permanent
- Full-time
- Salary: £50,000 - £60,000 per annum
- 22 days annual holiday (Increase to 27, 1 additional day per year worked)
- Healthy contributed pension scheme
- Training and development
- Determine sources of data relevant to a specific problem or project and collect it from various sources, including databases, spreadsheets, and APIs.
- Clean and prepare data for analysis by removing inconsistencies, handling missing values, and transforming data into a usable format
- Create charts, graphs, and other visual representations of data to effectively communicate findings and insights to stakeholders.
- Develop predictive models to forecast future trends or behaviours based on historical data.
- Interpret the results of analysis, draw conclusions, and provide actionable recommendations based on their findings
- Understand business needs and translating them into technical specifications.
- Analysing existing systems to identify areas for improvement or potential issues.
- Conduct observations and interviews to gather information about current processes and technology usage
- The ability to analyse complex problems, break them down into smaller parts, and develop effective solutions is vital.
- Uses problem-solving skills to address technical issues, user needs, and system performance challenges.
- Evaluating information, identifying potential problems, and making informed decisions are essential for this role.
- Clear and effective communication is needed to interact with technical and non-technical stakeholders.
- The ability to adapt to new technologies, changing requirements, and different work environments is crucial.
- Ensuring accuracy and quality in all aspects of work is essential.
- Identifying and resolving issues in data and analysis processes.
- Analysing data to draw meaningful conclusions and insights.
- Understanding business objectives and how data analysis can support them.
- Provide high quality documentation for internal customers and technical teams.
- Programming languages: (SQL, Java, Python, C#), troubleshooting, database management, understanding system architecture
- Data Modeling: Understanding how to represent data visually and structurally
- Understanding of the whole SDLC (Software development lifecycle) including an understanding of pipeline deployments through Azure DevOps.
- Experience in data ingestion (structured and unstructured data) from various sources such as blob storage, excel and others to SQL
We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.
- 01342 330 551