Data analyst
Sample Subheading
Also known as: ["Data specialist", "business analyst", "information analyst", "data mining analyst"]
In the world of data, data analysts work like problem solvers, using tools like SQL and Python languages to transform large datasets into valuable insights. They help businesses shape strategies, enhance user experiences, and drive smarter decisions through data-driven solutions. Their analyses and visualizations reveal trends, patterns, and anomalies that would otherwise remain hidden within the raw data.
Duties
- Clean and prepare datasets Collect, clean, and organize data for analysis. You’ll use databases, flowcharts, and logic to ensure the data is structured, accurate, and ready to explore.
- Analyze patterns in data Identify trends, patterns, and anomalies in datasets. You’ll apply data mining, modeling, and visual tools to draw meaningful conclusions and spot insights.
- Share insights visually Turn data into stories using visuals and reports. You’ll design charts, dashboards, and infographics to communicate complex findings in simple, clear ways.
- Improve data workflows Ensure data is reliable and used effectively. You’ll validate results, apply ethical standards, and refine processes to support accurate, impactful decisions.
- Work with stakeholders Collaborate with others to solve problems and improve outcomes. You’ll align insights with goals, document solutions, and contribute to smarter business practices.
Education
Minimum qualification: Bachelor’s degree
Most common program: Data science
Data analyst - Data science
A mindmap-style diagram shows both typical and alternative pathways to enter into this role. It maps out different education and career steps, with routes that intersect. Select each step in the diagram to learn more.
Salary
- Entry level: 60000
- Mid level: 73800
- Senior level: 100000
Job outlook
Job openings: 20800
Demand: Rapid growth
- The exponential growth in data generation is driving demand for skilled professionals. (Careers related to data science are expected to grow by an impressive 36% by 2031.)
- Innovations in AI and machine learning are fueling an increasing demand for professionals with advanced data skills<strong. (The World Economic Forum projects that demand for AI and machine learning specialists will grow by 40% by 2027.)
- Businesses rely heavily on data analysts to transform vast amounts of data into actionable insights that drive critical decisions. (Over 80% of businesses use data analytics to quickly spot trends, risks, and opportunities for a competitive edge.)
Quote
Data analysts are typically in central roles and work on a huge variety of projects [...] I am afforded flexibility and creativity in my problem-solving approach.
Anastasia Stevens, MS, Data analyst
Read Anatasia's story
Leveraging her background in design and vizualization, Anastasia Stevens works as a data analyst for the Massachusetts Bay Transportation Authority (MBTA). As a central role to her organization, she collaborates with many internal and external stakeholders. Anastasia's projects include writing algorithms to enact transportation plans, optimizing workflows and processes for departments, and automating reports with Tableau.
Related careers
Sources
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