What does a Data Analyst do?
Data analysts research and use data to solve problems, optimize profit, minimize turnover, or streamline logistics, and to help companies make better business decisions. They assess a company’s complex information including sales numbers, market research, or behavior, with the goal of reaching simpler, smarter conclusions, and use their technical expertise to stress test the data for quality and accuracy.
Data analysts collect, process, and perform statistical analysis of data and translate the numbers into a layman's terms. By identifying trends and making predictions about the future, they help companies make sense of how they work. Data analysts regulate, normalize, and calibrate data to extract that can be used alone or with other numbers and use charts, graphs, tables, and graphics to explain what the data mean across specific amounts of time or various departments. Data analysts need a bachelor's degree in mathematics, finance, statistics, economics, or computer science.
- Support and partner with teams across the enterprise.
- Support and contribute to data collection efforts, as needed.
- Verify data quality to ensure accurate analysis and reporting.
- Help identify the business data needed to produce the most useful insights and future analytics.
- Utilize data to make actionable recommendations at all levels.
- Develop and execute a regional business plan aligning with program goals.
- Communicate insights and recommendations effectively to the broader team.
- Monitor data management processes to ensure data quality and consistency.
- Hire, coach and develop field to exceed customer expectations.
- Monitor system performance, data integrity and usage metrics.
- Contribute to data dictionary, standards, training, and ongoing updates
- Bachelor's or Graduate's Degree in business, computer science, engineering, or information systems or equivalent experience.
- Comfortable with statistics, datasets, and machine learning exercises.
- Strong critical thinking skills and attention to detail.
- Has consulting experience and ability to assist with problem solving and debugging.
- A leader and critical thinker with time management skills.
Data Analyst Career Path
Learn how to become a Data Analyst, what skills and education you need to succeed, and what level of pay to expect at each step on your career path.
Average Years of Experience
Data Analyst Insights
“I joined this company as a fresher and learnt both technical and soft skills important for career progression.”
“Leadership is great and really interested in promoting your work and allowing you to develop.”
“One of the downsides of working here is that there is little or no opportunity for career training and development.”
“It was quite boring (this is what I was feeling and all people working with me)”
“Recruits really great people that make you enjoy coming to work and will learn if you put in the time”
“Horrible pay if you have bill and a family — see what I did there ?”
“It is so comfortable working in TCS and we have so many opportunities to learn and grow in our career”
“There are good managers but unfortunately ended my career there with one that was not great.”
Data Analyst Interviews
Frequently asked questions about the role and responsibilities of data analysts
Data analysts spend their work day gathering, organizing, analyzing and presenting data. Their most common daily tasks include collecting data, maintaining databases and preparing reports for other departments. Data analysts also identify trends and patterns in data sets and provide meaningful insights to inform and impact important business decisions.
Data analysts are one of the most highly in-demand and sought after careers worldwide. Working conditions for data analysts are usually great as well, as they are largely able to work from home or remotely. Data analysts also have regular working hours from 9-5. However, when important projects are due, deadlines can require long hours.
Working as a data analyst can be challenging at times, as analysts have to work longer hours to meet project deadlines. They also need to maintain deep industry knowledge of the field they work in to give valuable recommendations and hone their skills continuously.