Technologist Data Analyst

 A data analyst is a professional who gathers, cleans, and interprets data sets to address specific questions or solve problems. They work across various industries, including business, finance, criminal justice, science, medicine, and government. Here are the key aspects of their role:

1. Data Collection:

   • Data analysts often collect data themselves. This could involve conducting surveys, tracking visitor characteristics on a company website, or purchasing datasets from specialized providers.

2. Data Cleaning:

   • Raw data can be messy, containing duplicates, errors, or outliers. Data cleaning ensures that the quality of data is maintained. This step is crucial to avoid incorrect or skewed interpretations.

3. Modeling Data:

   • Data modeling involves designing the structures of a database. Analysts decide what types of data to store, establish relationships between data categories, and define how the data appears.

4. Interpreting Data:

   • The heart of data analysis lies in finding patterns or trends within the data. Analysts identify insights that can answer specific questions or guide decision-making.

Types of Data Analysis:

1. Descriptive Analysis:

   • Describes what happened based on historical data.
   • Answers questions like “What were last month’s sales figures?” or “How many website visitors did we have?”

2. Diagnostic Analysis:

   • Investigates why something happened.
   • Helps understand the causes behind trends or anomalies.

3. Predictive Analytics:

   • Projects future outcomes based on historical data.
   • Used for forecasting, risk assessment, and trend prediction.

4. Prescriptive Analysis:

   • Provides actionable advice on what actions to take.
   • Helps optimize decision-making.