Companies have more data than ever at their disposal. They need employees capable of using technology to capture, analyze, and leverage the information they extract. Demand for business and data analysts has increased significantly, with over 160,000 jobs posted over the last 12 months. It will grow by 17% over the next decade.
What is a business or data analyst?
Business and data analysts gather information from various sources and interpret patterns and trends. They prepare reports that summarize their discoveries and provide recommendations that drive decision-making for their organizations.
Below, we list the top data analyst skills you need to get hired in 2022:
Soft Skills Data Analysts Need
- Critical Thinking – to gain insights from data, you need to know what to ask in the first place. Successful analysts can work through complex problems by identifying which questions to ask, knowing what data to collect, and how to process it to extract the appropriate information or uncover connections.
- Problem-solving – When analysts run up against roadblocks or technical issues, they should be capable of finding an effective solution through problem-solving. For example, you run up against a technical problem and opt to troubleshoot by researching quirks of particular software or coding language.
- Communication & Presentation – You will be expected to communicate with various stakeholders across all departments with little experience with data or the technology you use. You need to write up your findings, and recommendations or provide insight that will influence an organization’s strategies clearly and concisely. The ability to communicate across different mediums (email, PowerPoint presentations, reports) is essential.
- Attention to detail – As an analyst, you need to focus because analyzing involves reading and assessing intricate coding or technical structure. You can’t afford to miss important information.
- Collaboration – You will be working with internal and external stakeholders frequently. Therefore, respecting and appreciating teamwork can help you complete your day-to-day tasks. Internally, cross-functional collaboration amongst data scientists, analysts, predictive modelers, and engineers will be required to ensure well-rounded business insights are delivered to executive leadership.
Technical skills required for Data Analysts
- SQL – Structured Query Language (SQL) is a programming language that communicates with a database in order to allow an analyst to view and manipulate the data that is stored inside the database, Analysts use SQL to query and manage data stored in databases. The SQL programming language is one of the best methods for collecting, storing, and organizing information obtained during data analysis. If you are interested in becoming a business or data analyst or working with data, then learning SQL is vital. Fortunately, it is one of the easier programming languages to learn.
- Microsoft Excel/ Google Sheets – Some companies prefer to use other spreadsheet software. It’s important to learn how to use traditional, widespread spreadsheet tools.
- Python or R Programming Knowledge – In addition to SQL, more analysts are using Python or R. These programming languages are used for statistical purposes and to create machine learning algorithms. Python is one of the most popular languages for completing various tasks such as data cleaning, modeling, and crawling. You will need to learn how to use these programming languages.
- Data Visualization – Spreadsheets can be overwhelming to review during meetings where you present your findings. Skilled analysts will create clear and compelling charts that organize data and are easier to interpret. To perform this skill, you will need to learn how to use Tableau. Its visualization software is considered the industry-standard analytics tool and is user-friendly.
- PowerBI – Another business intelligence tool you may need to be well-versed in is Power BI. It is a collection of software services, apps and connectors that work together to turn your unrelated sources of data into coherent, visually immerse and interactive insights.
- Data Warehousing – This is the process of creating virtual storage and organization systems to host data. Analysts will manage these systems, monitor the data, and ensure there are no security issues.
How to develop data analyst skills
Now that you know what data analyst skills you need to break into the field let’s discuss the key to a successful career: education. Suppose you want to transition into a business or data analyst career or even score a promotion. In that case, there are many ways to start. If you are new to data analytics, we recommend you research the industry. It would help if you began to familiarize yourself with the terminology and explore different career paths. We encourage you to seek out connections already employed as analysts within your professional network. Through informational interviews, you can learn more about the role and better understand the job requirements.
Once you have done your research, you will need to master the technical data analyst skills to build a successful career. One of the most efficient ways to build a strong foundation and practice your new skills is enrolling in a data analytics certificate program. The Tableau Data Analytics Certificate Program is designed to build a solid theoretical foundation and prepare our students with hands-on projects to apply their new data analyst skills. It yields the same results faster, cheaper, and less time than going back to college or starting a boot camp. We also provide career guidance to help graduates get a job in this highly competitive field.
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