Data Analyst Flashcards
What a Data analyst do (4)
a professional who collects, processes, and analyzes data to derive actionable insights that can inform business decisions and strategies
primary role for a Data analyst
is to work with data to uncover trends, patterns, and relationships that can help organizations make informed choices.
key tasks and responsibilities of a data analyst (10)
Data Collection
Data Cleaning and Preprocessing
Data Analysis
Data Visualization
Reporting
Business Insights
Data Mining
A/B Testing
Data Quality Assurance
Data Management
Data Collection
Data analysts gather data from various sources, which may include databases, spreadsheets, websites, sensors, and more. They ensure data accuracy and completeness.
Data Cleaning and Preprocessing
Raw data often contains errors, inconsistencies, and missing values. Data analysts clean and preprocess the data to make it suitable for analysis. This involves tasks like data normalization, imputation, and handling outliers.
Data Analysis
Data analysts use statistical and analytical techniques to explore the data. They employ tools like Excel, statistical software, and programming languages like Python or R to perform data analysis. Common tasks include descriptive statistics, regression analysis, hypothesis testing, and data visualization.
Data Visualization
Data analysts create charts, graphs, and other visual representations of data to make complex information more accessible to non-technical stakeholders. Tools like Tableau, Power BI, and Python libraries (e.g., Matplotlib and Seaborn) are often used for this purpose.
Reporting
Analysts generate reports and dashboards that convey the results of their analysis. These reports help decision-makers understand the insights and make informed decisions.
Business Insights
Data analysts translate their findings into actionable insights and recommendations for the organization. They may identify trends, opportunities, or areas that need improvement.
Data Mining
Data analysts sometimes use data mining techniques to discover hidden patterns or associations in the data that may not be readily apparent.
A/B Testing
In the context of marketing and web analytics, data analysts often design and conduct A/B tests to compare the performance of different strategies or variations of a product or service.
Data Quality Assurance
Ensuring data integrity and quality is a crucial responsibility. Data analysts may set up data quality checks and processes to maintain the accuracy and consistency of the data.
Data Management
They may be involved in data governance and data management, including defining data standards, maintaining data dictionaries, and ensuring compliance with data protection regulations.