Technology
A data analyst collects, cleans and interprets business data to answer specific questions and support decisions. The role matters because sound analysis shows where a company is gaining or losing money, customers and efficiency.
Ways to hire
4options
contract, contract-to-hire, full-time and executive search
The role
Teams hire one when decisions rely on gut feel, reporting takes too long by hand, or a new product needs measurement set up.
Typical responsibilities
Core skills
Tools and systems
Related titles
Typical background
Typically 1 to 4 years of analysis experience, with a bachelor's degree in business, statistics, economics or a related field.
At a glance
The essentials for planning the hire: level, background, how you can hire and what the role typically pays.
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FAQ
Straight answers to the questions employers and candidates ask about this role.
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A data analyst collects, cleans and interprets business data to answer specific questions and support decisions. The role matters because sound analysis shows where a company is gaining or losing money, customers and efficiency. Typical responsibilities include: pull and clean data from databases and business systems; analyze trends and explain results to non-technical stakeholders; build recurring reports and dashboards for managers.
Look for SQL, excel, data visualization, statistics, data cleaning and data storytelling. Experience with SQL, Excel, Tableau, Power BI and Python is common in this role.
Yes. A data analyst is one of the roles employers most often hire on contract, for projects, busy periods, leave cover and vacancies. Contract-to-hire is also an option if you want to work together before making a permanent offer.
Hire a data analyst to report on and explain what is happening in the business. Hire a data scientist when you need predictive models, machine learning or experimentation. Many teams need strong analysts first and add a scientist later, once data and reporting are reliable.
For most roles, yes. SQL is how analysts reach data in databases and warehouses without waiting on engineers. Candidates who rely only on Excel can work for small datasets, but expect limits as data volume and reporting needs grow.
Related roles
Every role in the practice is recruited by the same specialist team.
