This role is primarily focused on data management and analysis, aiming to ensure data accuracy and derive meaningful insights.
Below is a breakdown of the main functions and skills/qualifications as outlined:
Main Functions:
- Data Importing & Cleansing: Responsible for gathering and importing data from various sources.
Cleanse data to remove inconsistencies or inaccuracies, ensuring the data is of high quality.
- Data Validation & Analysis: Validate the accuracy and reliability of data before performing detailed analysis.
Analyze datasets to identify trends, patterns, or anomalies for decision-making purposes.
- Data Presentation: Consolidate analyzed data into user-friendly formats such as charts, graphs, and tables.
Present findings clearly to stakeholders, often with minimal supervision.
- Focus on Data Quality: Continuously improve the quality and reliability of data.
- Autonomy & Expertise: Work independently with minimal guidance.
Leverage deep knowledge of data analytics to perform tasks efficiently.
Typically suited to highly experienced professionals, potentially certified in data analysis.
Skills and Qualifications:
- Analytical Skills: Ability to perform in-depth data analysis and draw actionable insights.
Strong problem-solving capabilities.
- Communication Skills: Excellent verbal and written communication for reporting data findings and insights.
Capable of simplifying complex data for non-technical audiences.
- Report Generation: Proficient in creating reports based on data analysis.
- MS Office Proficiency: Skilled in using MS Excel, PowerPoint, and other Office tools to organize, analyze, and present data.
- Data Tools Expertise: Although not explicitly mentioned, expertise in other data analysis tools or programming languages (e.g., SQL, Python) would be beneficial for advanced data handling.
