Data analyst jobs are in high demand, and for good reason. Modern businesses are technology-driven, meaning they collect large volumes of valuable data. These organizations need trained specialists to organize and translate this data into actionable insights that guide business decisions.
At UOnline, we prepare you for a career in data analytics. But before you enroll, take a glimpse into your future, including how to get an entry-level data analyst job.
Entry-Level Data Analyst Job Description
To picture yourself in this role, you need to know what a day in the life of an entry-level analyst looks like. One of the most appealing aspects of working in data analytics is that no two days are the same. Your day-to-day workload varies depending on the specific projects you're working on.
Here are some of the responsibilities of a typical entry-level data analyst.
- Collect data: The analyst works with other team members in their organization to determine what type of data to collect. Then, the analyst collects the data through surveys, digital analytics tools, or pre-existing reports.
- Clean and organize data: After collecting data, the analyst removes errors or outliers that could skew results. Then, they create a visual model to keep data organized and make it easier to interpret.
- Analyze data: Data analysts use their expertise to identify relevant trends or patterns within their collected data sets. Analysts use this information to answer questions, solve problems, or make recommendations for their business.
- Present findings: After interpreting each data set, the data analyst will present their findings to clients or internal leadership. This typically involves sharing graphs, charts, and other data visualizations via PowerPoint or written reports. It may also involve a verbal presentation to explain the results in more detail.
Skills Needed for an Entry-Level Data Analyst Role
Entry-level data analysts need both hard and soft skills to succeed in this role. Here are some of the skills necessary for success in data analytics.
- Problem-solving: A data analyst's primary purpose is to use data to solve problems for their employers or clients. Analysts need to be able to assess a large-scale problem and determine what type of data is necessary to find a solution.
- Critical thinking: Data analysts need to critically evaluate the data sets presented to them to identify trends and generate helpful insights.
- Data mining: This is the process of locating and extracting information from large-scale databases. Data mining is usually done with SQL queries, so entry-level analysts should have a basic understanding of SQL commands.
- Data visualization: A key component of any data analysis role is creating visual representations of written data sets. This could include charts, graphs, maps, or infographics. Data analysts need the ability to look at data and translate it into a visual form that is easy to interpret.
- Machine learning: AI and other machine learning tools provide data analysts insights and help with repetitive tasks. Beginner data analysts should understand how these tools work and know how to operate them.
- Attention to detail: Data analysts should be very precise and detail-oriented. This helps ensure that their work is accurate and that important insights are not overlooked.
- Communication: Data analysts often work in teams, so good communication skills are necessary for a successful collaboration. Additionally, analysts should be able to communicate their findings effectively when presenting projects.
Honing these hard and soft skills will help you prepare for a role in data analytics.
Entry-Level Data Analyst Requirements
You might be wondering how to get a data analyst job with no experience. The first step is to get the requisite training for this role. Training requirements for a data analyst role may include:
- Degree programs: One of the most effective ways to train for a career in data analytics is by completing a relevant degree program. This could be a bachelor's or master's degree in data analytics or a similar field, such as statistics or computer science. These degrees teach a wide range of skills to help you succeed in a data analytics role. Consider our online education options if you can't complete a degree in person.
- Online courses and certificates: Online courses, boot camps, and certificates can be a good alternative to returning to school, especially if you already have a bachelor's degree in a different field. These courses teach important data analytics skills but are much shorter and more affordable than a full-time degree program.
- Internships: Internships and other on-the-job training programs provide valuable real-world data analytics experience. These programs can also help you network with others in the industry and find mentorship opportunities.
Keep in mind that requirements for data analyst roles will vary by organization. For example, some employers may require data analysts to have at least a bachelor's degree without exception. Others may be willing to hire employees without a degree if they've completed a data analytics certificate or have relevant work experience.
How to Get into Data Analytics in 5 Steps
With so much demand in the industry, now is a great time to get into data analytics. If you're ready to start this new career, here's a look at how to get a data analyst job in five steps.
1. Take Online Courses
An online course is one of the easiest ways to get the skills you need for a data analytics job. The right course for you depends on your current education level and specific goals. Course options are also available at varying lengths and price points, so you can choose one that fits your schedule and budget.
If you have completed high school and are just starting your career, consider getting a bachelor's degree in data analytics or a related field. This provides a strong foundation for a career in data analytics. Many schools today offer bachelor's degrees online, which gives students the flexibility to complete the program at their own pace.
If you already have a bachelor's degree, consider getting a master's in data analytics online. A master's degree will teach specific skills to prepare you for a role in data analytics. A master's degree can also prepare you to work in higher-level data analytics roles later in your career.
Since these programs are available online, you can complete them even if you're currently working. Earning a master's degree online is great for those with busy schedules, providing a flexible learning environment and allowing you to study from anywhere. Most students can complete a master's program in less than two years.
Some tech companies, such as Google, IBM, and Meta, have their own data analytics courses available online. These provide a free or low-cost alternative to a college degree for students on a budget. However, there are limitations to taking this approach. In many cases, you won't have as much support from your instructors as you would in a college course. These courses also tend to be shorter than college courses, so you may not have the opportunity to tackle more advanced concepts.
2. Complete a Certificate
Getting a certificate in data analytics shows potential employers that you have the skills to tackle the role. This is particularly important if you don't have a degree in data analytics.
There are plenty of data analytics certificates available online and many universities also offer certificate programs, which you can sign up for even if you're not enrolled in a degree program.
You'll complete a set of tests on key data analytics concepts to get a certificate. You may also need to complete a sample project. Once you've finished the certificate, you can show it off on your resume and LinkedIn profile to make yourself more attractive to future employers.
3. Create a Portfolio
For aspiring data analysts, a compelling portfolio is just as important as a strong resume. Before applying for jobs, you'll need to create a portfolio of data visualizations and reports showing your analysis skills.
If you earn a data analytics degree or certificate, you'll likely complete at least one sample project as part of the program. This will serve as the foundation for your portfolio. If you've completed a data analytics internship, you can also feature real-world projects you've worked on (with permission from your employer).
To round out your portfolio, consider creating your own sample projects to further highlight your skills. You can do this by creating hypothetical scenarios and using datasets available for free online. Consider tailoring your sample projects to the industry or even the specific roles you want to apply for.
4. Build Your Network and Get Referrals
Networking with professionals in data science can help you get an analyst job more quickly. There are several ways to network in this field. When taking online courses, be sure to connect with your professors and fellow classmates online. Additionally, look for industry events and job fairs focusing on data analytics in your area. This allows you to make impactful connections in person. Finally, look for mentorship opportunities in the field. A mentor can help show you the ropes and introduce you to others in the industry.
5. Start Applying to Beginner Data Analyst Jobs
The final step is to start applying for data analyst roles. Look for listings labeled "beginner" or "entry-level" that align with your skills.
Although demand for data analysts is high, you'll also face plenty of competition. To increase your chances of landing a job, be sure to apply for as many roles as possible rather than just a few.
Search for jobs across a variety of online platforms, such as LinkedIn, Indeed, ZipRecruiter, and more. Be sure to let your network know you're also in the market for a new role.
Data Analyst Early Career FAQs
When you're just getting started as a data analyst, having questions is normal. Here are some of the most frequently asked questions about how to find entry-level data analyst jobs.
How can I become a data analyst with no experience?
If you have no experience in data analytics, the best place to start is by taking online courses to help you learn relevant skills. Look for those that include projects to help you get some hands-on experience.
Another way to get started is to look for analytics internships that don't require experience. With an internship, you'll get valuable on-the-job training to prepare you for your future career.
Is it hard to get a data analyst job?
Demand for data analytics jobs is high, so you likely won't struggle to find a role if you have the appropriate skill set and training. However, you'll still need to complete relevant education and certificates and create a portfolio showcasing your skills. This process takes time and effort but is also worthwhile if you're passionate about an analytics career.
How do I find entry-level data analyst jobs?
To find entry-level data analyst jobs, search various job listing platforms online. Broaden your search to include companies of all sizes and industries, as great opportunities can come from unexpected places. Use "entry-level" or "junior" keywords in your search terms.
Additionally, connect with other data analysts through online forums and social media platforms. They may be able to recommend companies who are hiring.
What are some examples of beginner data analyst jobs?
When starting out in data analytics, there are several different roles to look for. These include:
- Data analyst
- Business intelligence analyst
- Data quality analyst
- Quantitative analyst
- Operations analyst
The responsibilities for each of these roles will be slightly different. However, they all involve working with data and are a good stepping stone to higher-level data entry roles.
Jumpstart Your Data Analyst Career with UOnline
Working as a data analyst has plenty of benefits. You can command a high salary and enjoy job security with the right skills. Expect plenty of fun and interesting challenges as you tackle new projects.
Ready to dive into your career as a data analyst? Get started with data analytics courses from the University of Miami's UOnline program. Through UOnline, you'll learn all the skills you need to get started in data analytics and how to get an entry-level data analyst job, all with the flexibility of studying online.
Contact us today to talk with an advisor and enroll in online courses.
