Data Analysis Career Roadmap: Jobs and Levels Guide
Explore the job-leveling matrix for Data Analysis careers. Understand the roles and skills needed to advance from beginner to leader.
May 16, 2024
Article
Discover a comprehensive hub of resources tailored for data analysts at any stage of their careers. Featuring an array of tutorials, career guides and cheat sheets, Coursera’s Resources is designed to elevate skills and facilitate growth in your career.
Recommended Data Analytics Courses
IBM
Skills you'll gain: Python Programming, Microsoft Excel, Data Visualization, Spreadsheet Software, Data Analysis, Plot (Graphics), Exploratory Data Analysis, Statistical Visualization, Business Analysis, Business Communication, Communication, Databases, Human Resources, Planning, SQL, Data Management, Data Mining, Data Science, General Statistics, NoSQL, R Programming, Big Data, Cloud Computing, Computer Programming, Data Visualization Software, Interactive Data Visualization, Machine Learning, Machine Learning Algorithms, Probability & Statistics, Regression
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months
Skills you'll gain: Data Analysis, Databases, Python Programming, SQL, Data Management, Data Mining, Data Science, Data Visualization, NoSQL, R Programming, Big Data, Microsoft Excel
Beginner · Course · 1 - 3 Months
Microsoft
Skills you'll gain: Business Intelligence, Data Visualization, Statistical Analysis
Beginner · Professional Certificate · 3 - 6 Months
Problem-solving: These skills enable analysts to identify the root causes of issues, uncover hidden patterns, and develop effective solutions to enhance business performance while ensuring actionable insights that drive strategic decision-making are consistently delivered. Top skills include:
Data collection: Data collection skills are critical for data analysts as they ensure the acquisition of accurate and relevant information needed for thorough analysis and enable analysts to gather data from diverse sources efficiently, ensuring completeness and reliability. Methods include:
Data visualization: Having these skills allows analysts to translate complex datasets into easily understandable visual format and enable them to communicate insights effectively, making it easier for stakeholders to grasp key findings and trends. Key skills to learn: