Title: Data Analyst Author: Kriko Published: May 23, 2023 Last modified: Jul 11, 2026 --- 1. [Home](https://kriko.io/) / 2. [Glossary](https://kriko.io/glossary) / 3. D Letter # Data Analyst A **data analyst** is a professional who collects, organises and analyses organisational data and presents the results through clear reports. The main purpose of the role is to transform raw data into meaningful information that supports business decisions. Data analysts may share their findings through tables, charts, dashboards and presentations. This helps managers and business teams make more measurable, consistent and data- driven decisions. The responsibilities of a data analyst may vary according to the organisation and industry. Data cleaning, identifying missing or inaccurate records, monitoring performance indicators and preparing regular reports are common duties. Analysts may work with sales, marketing, finance, operations or customer experience data. They should also be able to communicate analytical findings clearly to business teams, not only to technical stakeholders. A background in statistics, mathematics, computer engineering, industrial engineering, economics, business or similar fields can be advantageous for becoming a data analyst. However, the profession is not limited to graduates of specific departments. Technical skills, analytical thinking, problem-solving ability and practical project experience are also important in recruitment processes. Certificate programmes, portfolio projects and work with real datasets can therefore help candidates develop their capabilities. Data analysts are generally expected to have knowledge of Excel, SQL, data visualisation tools and basic statistics. The ability to create reports and dashboards with tools such as Power BI, Tableau, Looker Studio or similar platforms is important for many roles. Python or R can provide an advantage in data cleaning, analysis and automation processes. Statistical tools such as SPSS may be used in certain industries, but they are not mandatory for every data analyst position. Job requirements may differ depending on the seniority of the role and the organisation’s data maturity. Some entry-level positions may accept one year of experience, while more senior roles may require two or more years. Big data technologies, machine learning methods and advanced Python skills are more common in analytics, data science or senior data analyst positions. A successful data analyst needs communication skills, business understanding and the ability to interpret results correctly in addition to technical knowledge. ## Discover it in the dictionary ### User Experience User Experience, commonly abbreviated as UX, refers to the overall experience a user has while interacting with a product, service, system, website, mobile application… ### Comparative Analysis Comparative analysis is a method used to examine two or more objects, processes, documents, datasets or situations according to defined criteria. Its primary purpose… ### Business Intelligence Business intelligence, commonly abbreviated as BI, is a data analysis and decision- support approach that helps organisations transform information from different sources into meaningful insights.… ### Automated Machine Learning (AutoML) AutoML, short for Automated Machine Learning, is an approach used to automate selected stages of the machine learning development process. It can support the… ### Long-tail Keyword A long-tail keyword is a keyword type that addresses more specific search intent. It usually consists of more words, has lower search volume and… ### Client-side Errors: 4xx 4xx status codes are the group of HTTP status codes that represent client-side error responses. When a user tries to access a web page… ### Open Graph Open Graph, commonly abbreviated as OG, is a metadata protocol used to define how web pages appear on social media platforms and messaging applications.… ### Influencer Marketing Influencer marketing refers to marketing activities carried out with people who can reach a specific audience on social media, have built trust with their… ### 10x Content 10x Content is a concept popularized in the SEO world by Rand Fishkin, and it refers to creating content that is significantly better, more… ## Track the digital heartbeat with Kriko Subscribe to receive curated insights, news, and ideas shaping the digital landscape. By checking this box, you acknowledge and accept our [privacy policy](https://kriko.io/privacy-policy).