In my previous project, I used Google Apps Script's triggers and time-based events to automate the generation of weekly reports. The script would pull data from various sources, perform calculations, and generate visually appealing reports within Google Sheets. This allowed our team to stay up-to-date with key metrics without manual intervention.

As a data analyst, I often work with large datasets in Google Sheets. To automate the process of cleaning and transforming data, I rely on the power of formulas and array functions. By combining INDEX, MATCH, and ARRAYFORMULA, I can quickly manipulate and analyze thousands of rows of data, saving considerable time and effort.

One way I've used Google Sheets to automate complex data analysis tasks is by utilizing custom functions and scripts. For example, I created a custom function that pulls data from external APIs and updates my spreadsheet automatically. This has saved me hours of manual data entry and allowed me to focus on analyzing the data rather than gathering it.

I have developed a series of macros in Google Sheets to automate data cleaning and analysis processes. These macros perform tasks such as removing duplicates, standardizing data formats, and generating reports with a single click. It has significantly improved efficiency and reduced errors in our data analysis workflows.

I recently started using Google Sheets' Explore feature, which employs natural language processing to generate insights and visualizations automatically. By simply typing a question like 'What are our top-selling products?' or 'How has revenue trended over time?', I can quickly obtain meaningful analysis without building complex formulas or charts manually.