- Spreadsheet Proficiency<\/strong><\/li><\/ol>\n\n\n\n
Microsoft Excel is that tool for data cleaning and analytical activities, like mini data cleaning and exploration, simple interactive dashboards with pivot charts, and even advanced Excel using VBA to automate the analytical process. If you are a data noob, Excel is a perfect catch as you can manipulate and analyze data without knowing how to use programming technologies like R or Python. <\/p>\n\n\n\n
- SQL and Database Management <\/strong><\/li><\/ol>\n\n\n\n
SQL or Structured Query Language is crucial for interacting with the database. It handles large data sizes that spreadsheets can’t handle (e.g., billions of rows).<\/p>\n\n\n\n
Analysts use SQL for the following reasons:<\/p>\n\n\n\n
- Query the data in the database.<\/li>
- Insert data into the database.<\/li>
- Update the database,<\/li>
- Modify schemas (i.e. database structure).<\/li><\/ul>\n\n\n\n
A visual display of an SQL tool<\/em><\/figcaption><\/figure>\n\n\n\n SQL mastery is a skill demanded by over 80% of data analyst job descriptions<\/p>\n\n\n\n
3. Data Visualization<\/strong><\/p>\n\n\n\n
Stakeholders understand data better through visuals and reports. You must know how to present your findings in simple graphs. <\/p>\n\n\n\n
![\"A](\"https:\/\/wp.techrity.org\/WordPress\/wp-content\/uploads\/2023\/10\/customer_dashboard.png\")
A dashboard with several visuals of a customer’s purchases for a company.<\/em><\/figcaption><\/figure>\n\n\n\n Tools like PowerBI, Tableau, and Looker are essential for communicating insights to stakeholders who may not understand the underlying code. Because these tools help to craft visually compelling representations that reveal the narrative hidden within the data<\/p>\n\n\n\n
4. Statistical Programming Languages<\/strong><\/p>\n\n\n\n
Data analysts use programming languages like Python or R to perform statistical functions or programs within a company\u2019s data. These tools can help you quickly analyze and generate insights from large datasets. Some of the top programming languages used by data professionals include<\/p>\n\n\n\n
- R<\/li>
- Python<\/li>
- Java<\/li>
- Scala<\/li><\/ul>\n\n\n\n
Soft Skills for Data Analysts<\/strong><\/h2>\n\n\n\n
While technical skills are crucial, complementing them with soft skills puts you in a stronger position than an analyst with only hard skills. Here\u2019s a list of soft skills you need as a data analyst in 2023.<\/p>\n\n\n\n
- Critical thinking.<\/li>
- Problem-solving skills.<\/li>
- Affinity for numbers.<\/li>
- Logical and analytical mindset.<\/li>
- Communication.<\/li><\/ol>\n\n\n\n
Conclusion<\/h2>\n\n\n\n
- The data world is evolving, but there are specific tools that you must have at all times.<\/li>
- To succeed as a data analyst, you must master spreadsheets, SQL, database management, data cleaning, and visualization.<\/li>
- Hard skills are only useful when combined with soft skills. Among the top 5 are communication, critical thinking, problem-solving, numbers affinity, and logical and analytical thinking.<\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"
As a data analyst expert or newbie, have you ever wondered how you can stay relevant in the 2023 job market with the skills you currently have? In this article, we’ll provide you with the top 5 must-have skills every data analyst should get familiar with or even more familiar with — if you already […]<\/p>\n","protected":false},"author":10,"featured_media":520,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[74,21],"tags":[],"ppma_author":[168],"class_list":["post-488","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-career-advice","category-software"],"authors":[{"term_id":168,"user_id":10,"is_guest":0,"slug":"jamesessiet","display_name":"James Essiet","avatar_url":"https:\/\/secure.gravatar.com\/avatar\/bc0e2c28020387c39f69b78cefb111679934ad88a08ede61ef8837aba5fa814c?s=96&r=g","0":null,"1":"","2":"","3":"","4":"","5":"","6":"","7":"","8":""}],"_links":{"self":[{"href":"https:\/\/wp.techrity.org\/WordPress\/wp-json\/wp\/v2\/posts\/488","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.techrity.org\/WordPress\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wp.techrity.org\/WordPress\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wp.techrity.org\/WordPress\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.techrity.org\/WordPress\/wp-json\/wp\/v2\/comments?post=488"}],"version-history":[{"count":5,"href":"https:\/\/wp.techrity.org\/WordPress\/wp-json\/wp\/v2\/posts\/488\/revisions"}],"predecessor-version":[{"id":522,"href":"https:\/\/wp.techrity.org\/WordPress\/wp-json\/wp\/v2\/posts\/488\/revisions\/522"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wp.techrity.org\/WordPress\/wp-json\/wp\/v2\/media\/520"}],"wp:attachment":[{"href":"https:\/\/wp.techrity.org\/WordPress\/wp-json\/wp\/v2\/media?parent=488"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.techrity.org\/WordPress\/wp-json\/wp\/v2\/categories?post=488"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.techrity.org\/WordPress\/wp-json\/wp\/v2\/tags?post=488"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/wp.techrity.org\/WordPress\/wp-json\/wp\/v2\/ppma_author?post=488"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
- SQL and Database Management <\/strong><\/li><\/ol>\n\n\n\n
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