Data Science Career Track

Data analysts help collect and analyze data to solve a specific problem or answer a specific question. They work closely with various departments to understand the problem and collect relevant data. They may develop surveys and recruit survey participants, ensuring a statistically relevant sample size. Once they collect their data, they often use graphs or charts to present it. They may also recommend data collection measures to track project effectiveness over time.

Data analysts use various software in their work, including Microsoft Excel and SQL databases. They often have an understanding of programming languages such as SQL, Python, and Java. Strong teamwork and communication skills are also important to this job.

As of September 2021, PayScale reports data analysts earn an average salary of $61,820. Entry-level analysts earn $56,490 on average, while experienced analysts earn $71,540. Employers seek relevant work experience and training, such as attending a data science bootcamp or earning a degree in computer science.

According to September 2021 data from PayScale, data scientists earn an average salary of $96,480. These professionals typically work in office settings, primarily in the information technology (IT) department of an organization. They often work in teams to manage their organization’s data collection and storage needs.

Their duties include designing and building processes organizations can use for data modeling, data mining, and data production. They often use the latest software and programming tools to create custom datasets, and identify and analyze industry trends. They also help translate this information into easily understood presentations. They may write reports and create graphs and charts.

Most companies consider a candidate’s work history and education when hiring for a data science position. A degree in computer science, particularly an advanced degree, can provide a competitive advantage to a candidate. Companies also look for expertise in areas like data analysis, big data, and machine learning.

Data engineers extract, transform, and load data from its source to a target location. They need experience designing databases and a familiarity with multiple coding languages, such as Python, Java, and Scala. These engineers often work in teams and must carefully document their work to better collaborate with other team members.

As of September 2021, PayScale reports that data engineers earn an average salary of $92,500 annually. Entry-level data engineers take home an average of $77,260, while experienced data engineers earn $118,310.

Data engineering professionals often hold a degree in computer engineering or computer science. Work experience and graduating from a data science bootcamp may be sufficient to secure an entry-level position, though some employers may still require a college degree.

Data architects design databases that ensure essential data remains secure and accessible to users. This career requires advanced knowledge of computer coding languages, particularly SQL and XML. Data architects must also understand how their organization collects, stores, and uses its data, and they must design databases and data processes that meet organizational needs.

Data architects often work with departments and staff outside of IT; therefore, they must have good verbal communication skills and be able to explain complicated data collection processes to nonexperts. These architects create workflows and supporting documentation, so good writing skills are also necessary to their success.

As of September 2021, PayScale reports an average salary for data architects of $121,570. Entry-level data architects earn $68,690 on average, while experienced data architects earn $129,470. Most data architects have at least a bachelor’s degree in computer science or computer engineering because of the advanced skill set required, and many have advanced degrees.

These data experts help fine-tune IT processes and programs. They may debug software or test code before implementing new tools. Much of their time involves researching organizational problems and developing solutions. They share their work through reports, charts, and graphs, communicating with technical and nontechnical staff and executives.

Professionals working in this role earn an average salary of $81,230, according to PayScale data from September 2021. Entry-level jobs pay an average of $61,300, while individuals with many years of experience report an average salary of $98,540. Most business intelligence developers work full time in an office setting. They may hold managerial responsibilities within an IT department.

These roles typically require both a degree in computer science or computer engineering and substantial work experience in the field.