Data Analytics

• Used Power BI or Google Data Studio for data cleaning and exploratory data analysis and visualization

• SQL for data manipulation

• develop records management processes and policies
• identify areas to increase efficiency and automation of processes
• set up and maintain automated data processes
• identify, evaluate and implement external services and tools to support data validation and cleansing
• produce and track key performance indicators
• develop and support reporting processes
• monitor and audit data quality
• liaise with internal and external clients to fully understand data content
• gather, understand and document detailed business requirements using appropriate tools and techniques
• design and carry out surveys and analyze survey data
• manipulate, analyze and interpret complex data sets relating to the employer's business
• prepare reports for internal and external audiences using business analytics reporting tools
• create data dashboards, graphs, and visualizations
• provide sector and competitor benchmarking
• mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool.