The demand for skilled Data Analysts continues to grow, making it an exciting field for those with a passion for numbers and analytics. Data Analysts play a crucial role in interpreting complex datasets, transforming raw data into actionable information that can influence business strategies, enhance operational efficiency, and improve customer experiences.
Requirements
- Proficiency in data manipulation and analysis tools such as SQL, Microsoft Excel, and data visualisation software like Tableau or Power BI is essential.
- A solid understanding of statistical methods and data interpretation is crucial for drawing meaningful insights from complex datasets.
- Proficiency in data analysis tools (e.g., Excel, SQL, Python)
- Experience with data visualisation software (e.g., Tableau, Power BI)
- Understanding of statistical methods
- Knowledge of database management
- Adaptability to new technologies and tools
Responsibilities
- Data Collection Gathering data from various sources, including databases, surveys, and external datasets to ensure comprehensive analysis.
- Data Cleaning Processing and cleaning data to remove inaccuracies and inconsistencies, ensuring high-quality datasets for analysis.
- Data Analysis Applying statistical methods and analytical techniques to interpret data, identify trends, and generate insights.
- Data Visualisation Creating visual representations of data, such as charts and graphs, to effectively communicate findings to stakeholders.
- Reporting Preparing detailed reports that summarise analysis results, providing actionable recommendations based on data insights.
- Tool Utilisation Leveraging software tools such as SQL, Excel, and data visualisation platforms like Tableau or Power BI to conduct analyses.
- Continuous Learning Staying updated with the latest data analysis techniques, tools, and industry trends to enhance analytical skills and methodologies.
Other
- Collaboration Working closely with cross-functional teams to understand their data needs and provide analytical support for decision-making.
- Ability to interpret and present data findings
- Strong problem-solving skills
- Effective communication skills
- Ability to work collaboratively in a team
