Data Analyst
Current• Import, clean, and organize large datasets from various sources, such as field surveys, environmental monitoring equipment, and external databases. • Use Excel functions and formulas to remove duplicates, fill missing values, and standardize data formats for consistent analysis. • Write and execute SQL queries to extract relevant data from relational databases, ensuring comprehensive data collection from multiple sources. • Join and merge datasets to create integrated views for deeper analysis, helping to uncover trends and insights. • Perform data transformations, such as filtering, sorting, and aggregating, using SQL to prepare data for analysis. • Calculate key environmental metrics, such as pollution levels and biodiversity indices, to support project evaluations and decision-making. • Develop informative charts, graphs, and visualizations using Excel and Power BI to represent data insights clearly and effectively. • Create interactive dashboards in Power BI that provide real-time insights into environmental data, including air quality, water quality, and habitat conditions. • Connect Power BI to various data sources, including SQL databases and Excel spreadsheets, to consolidate and visualize data from multiple platforms. • Automate data refresh processes to ensure dashboards and reports are up-to-date, facilitating real-time monitoring and analysis. • Share interactive reports and dashboards with clients, government agencies, and internal teams, enabling them to explore data and gain insights. • Customize reports and visualizations to meet the specific needs of different stakeholders, ensuring clarity and relevance in communication. • Ensure the accuracy, consistency, and security of data by managing database access, conducting regular audits, and implementing data validation checks. • Maintain data confidentiality and comply with relevant environmental regulations and standards.