Title: Data Analyst
Author: Kriko
Published: May 23, 2023
Last modified: Jul 11, 2026

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# Data Analyst

A **[data](https://kriko.io/services/data-analysis-insight) analyst** is a professional
who collects, organises and analyses organisational [data](https://kriko.io/services/data-analysis-insight)
and presents the results through clear reports. The main purpose of the role is 
to transform raw [data](https://kriko.io/services/data-analysis-insight) into meaningful
information that supports business decisions. [Data](https://kriko.io/services/data-analysis-insight)
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](https://kriko.io/services/data-analysis-insight)
analyst may vary according to the organisation and industry. [Data](https://kriko.io/services/data-analysis-insight)
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](https://kriko.io/services/data-analysis-insight)
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](https://kriko.io/services/data-analysis-insight) analysts are generally expected
to have knowledge of Excel, SQL, [data](https://kriko.io/services/data-analysis-insight)
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](https://kriko.io/services/data-analysis-insight)
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.

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