Data Analyst: Sponsorship Available

Gathering and organising variety of data and analyse it to understand.

• Data Gathering: Accessing and compiling data from databases, APIs, Surveys, or external sources tailored to organizational needs.
• Data Cleaning and Validation: Ensuring data accuracy by eliminating inconsistencies, handling missing values, and rectifying duplicates.
• Data Structuring: Organizing raw data into structured formats, such as spreadsheets or database tables, to enable seamless analysis.
• Analyzing the organized data to understand trends, patterns, and relationships.
• To make data accessible to stakeholders, create visual representations of their findings.
• Developing visual aids, such as bar charts, line graphs, and scatter plots, to represent data trends.
• Building interactive dashboards using tools like Tableau, Power BI, or Excel for real-time data exploration.
• Summarizing data insights into detailed reports for internal or external stakeholders.

Skils required:

• Proficiency in Excel, Tableau, Power BI.
• Knowledge of Python, R, SQL for data manipulation and analysis.
• Databases: Familiarity with MySQL, PostgreSQL, or MongoDB.
• Expertise in creating clear visualizations and dashboards.
• Communicating complex data findings effectively.
• Critical thinking and problem-solving abilities.
• Writing reports and presenting insights to technical and non-technical audiences.
• Working with teams across departments.
• Attention to detail, time management, and organizational skills.
• Adhering to data privacy regulations like GDPR.

Experience and Qualifications:

• Bachelors degree in any of Data science, Computer science, any engineering or Information Technology
• Master degree in any engineering discipline or relevant is a bonus.

Benefits:

• Flexitime
• Sick pay
• UK visa sponsorship
• Work from home