Business Analyst: Salary, Responsibilities and What to Study

Data analysis is playing an increasingly important role in Spanish companies. According to the Spanish National Statistics Institute's (INE) Survey on ICT Use and E-Commerce in Companies 2024–2025, 41.4% of companies with 10 or more employees carried out data analytics using their own staff, while 21.1% used artificial intelligence.

A Business Analyst bridges the gap between business needs and technical solutions. The role combines analytical skills, process management and technology expertise, all of which are covered in the Master's Degree in Business Analytics & AI.

What Is a Business Analyst?

A Business Analyst is a professional who examines an organisation's needs, processes and challenges to identify solutions that add value. The role involves translating business objectives into clear requirements, actionable steps and practical improvements for the teams involved.

To understand what a Business Analyst does, it's important to look at their day-to-day responsibilities: analysing processes, gathering requirements, interpreting information and facilitating communication between business and technology teams.

A Business Analyst may be involved in digital transformation projects, software implementation, automation or operational optimisation, with the ultimate goal of turning business needs into feasible, measurable solutions.

What Does a Business Analyst Do and What Are Their Main Responsibilities?

A Business Analyst assesses a company's current situation, identifies problems and opportunities, gathers requirements from stakeholders and helps define how a future solution should work. Throughout a project, they may be involved in everything from the initial assessment to testing, implementation and evaluating the results achieved.

The responsibilities of a Business Analyst vary depending on the industry and the type of project, but typically focus on several key areas:

• Process Analysis: examining how activities are currently carried out, identifying inefficiencies, duplication or bottlenecks, and determining where improvements can be made.
• Requirements Gathering: interviewing users and stakeholders, facilitating workshops and translating their needs into clear, testable functional requirements.
• Solution Design: collaborating with technology, product or operations teams to define how a future process, service or system should work.
• Requirements Prioritisation: helping determine which requirements deliver the most value, which are essential and which can be addressed in later phases.
• Solution Validation: participating in user acceptance testing (UAT) and verifying that the implemented solution effectively addresses the original business problem.

The deliverables vary at each stage of the project. The following table summarises some common examples:

Business Analysts do not work in isolation. Stakeholder engagement is a central part of the role, as they need to understand and balance the perspectives of senior management, users, customers, operations managers and technology specialists before reaching a shared understanding of the problem.

What Skills and Tools Does a Business Analyst Use?

A Business Analyst combines analytical thinking, business knowledge, communication skills and proficiency with digital tools. They do not need the same level of programming expertise as a Data Scientist, but they commonly use SQL, data visualisation software, project management tools and process modelling techniques to support their analysis.

Some of the most valuable skills for a Business Analyst include:

• Analytical Thinking: breaking down complex problems, distinguishing root causes from symptoms and identifying connections between processes, data and outcomes.
• Communication: translating technical information into business language and turning business needs into clear specifications for technology teams.
• Requirements Management: documenting, prioritising and validating the requirements that a solution must meet.
• Data Literacy: accessing and analysing information, identifying trends and testing hypotheses before recommending changes.
• Negotiation and Facilitation: managing situations where different departments have competing priorities or expectations.

The tools used vary from company to company. A solid understanding of the underlying concepts is often more valuable than expertise in a single platform, as each organisation has its own technology ecosystem.

Artificial intelligence is transforming certain aspects of this work. An AI Business Analyst or a professional with a hybrid Business Intelligence skill set can use AI to analyse documentation, explore data or streamline specific tasks, although understanding business needs, setting priorities and communicating with stakeholders still require sound business judgement.

The article on the most in-demand digital skills provides further insight into the technological skills that are becoming increasingly important across professional roles.

Business Analyst vs Data Analyst vs BI Analyst

Business Analysts, Data Analysts and BI Analysts all work with business information, but they focus on solving different problems. Business Analysts primarily focus on business needs, processes and requirements; Data Analysts examine data in depth to explain patterns and trends; and BI Analysts organise information and performance indicators to help businesses monitor their performance.

A Data Analyst typically works with a greater emphasis on quantitative analysis. They clean, combine and interpret data to answer specific questions and communicate findings. The article on what a Data Analyst does explores the specific responsibilities and characteristics of this role in greater detail.

A BI Analyst, or Business Intelligence Analyst, focuses more on developing dashboards, performance metrics, data models and reporting systems. However, the boundaries between these roles are not always clearly defined, and companies may use these job titles differently. It is therefore important to review the specific responsibilities outlined in each job description.

How Much Does a Business Analyst Earn in Spain?

A Business Analyst's salary in Spain depends primarily on experience, specialisation, location and level of responsibility. Salary data published on employment and compensation platforms reveals significant differences between junior and senior professionals, making it more useful to consider indicative salary ranges rather than focusing solely on an average figure.

The following table shows how salaries may progress with professional experience, based on recent salary data published by Glassdoor for Junior Business Analysts and Senior Business Analysts:

These figures should be interpreted as market benchmarks rather than fixed salary bands. For example, Glassdoor reports salaries of between €23,000 and €28,000 for Junior Business Analysts in Madrid with one to three years of experience in 2026. For senior professionals, reported salaries range from approximately €47,000 to €57,000, depending on experience and location.

Salaries may increase when professionals develop specialised expertise in sectors and fields such as banking, ERP systems, digital products, artificial intelligence or data architecture. Proficiency in specific tools and the ability to coordinate cross-functional projects can also influence compensation.

When evaluating a job offer, several factors are worth considering:

• Experience: senior professionals typically take on projects with greater autonomy and responsibility.
• Specialisation: expertise in SAP, Salesforce, cloud technologies, data or artificial intelligence can broaden the scope of the role.
• Location: Madrid, Barcelona and other major business hubs have different employment markets and salary ranges.
• Responsibility: leading projects, teams or international initiatives can result in higher compensation.
• Variable Compensation: some positions include performance-related bonuses linked to individual or company objectives.

What Should You Study to Start a Career as a Business Analyst?

A degree in Business Administration and Management, Economics, Engineering, Computer Science, Mathematics or another field that develops business knowledge or analytical skills can provide a solid foundation for a career as a Business Analyst. This education can then be complemented by specialised training in data analysis, business analytics, artificial intelligence, business processes, project management or business intelligence tools.

There is no single pathway into the profession. A Business Analyst's skill set is typically built around three key areas of knowledge:

1. Business: understanding strategy, finance, operations, customers and how organisations work.
2. Data and Technology: learning SQL, data visualisation, data structures and the fundamentals of business information systems.
3. Processes and Projects: understanding requirements management, Agile methodologies, process modelling and change management.

Specialisation can be tailored to the type of Business Analyst role you want to pursue. The Master's Degree in Business Analytics & AI combines advanced analytics, SQL, Python, data visualisation, data governance and business strategy.

Other educational pathways may focus on management and leadership through the Global Master's Degree in Business Analytics and Data Strategy, the integration of intelligent technologies into business through the Master's Degree in Applied AI for Business, or a stronger technological focus through the Master's Degree in Artificial Intelligence & Machine Learning for Business.

The right choice depends on your educational and professional background. Someone with a degree in Business Administration and Management may need to strengthen their technical skills, while a Computer Science graduate may benefit from developing a deeper understanding of strategy, operations, finance and business communication.

Career Opportunities and Progression for Business Analysts

A Business Analyst's career can progress towards senior analysis roles, product management, process management, consulting, business architecture or project management. The specific direction depends on whether the professional chooses to develop deeper expertise in business, technology, data or leadership.

Some of the most common related career opportunities include:

• Senior Business Analyst: leads complex business analysis activities and coordinates multiple stakeholders.
• Product Owner or Product Manager: takes responsibility for a product's development, priorities and ongoing improvement.
• Business Process Analyst: specialises in process optimisation, automation and redesign.
• BI Analyst: focuses on data, reporting and business intelligence.
• Business Architect: works on business processes, capabilities and organisational structures at a broader level.
• Transformation Consultant: contributes to organisational change and technology transformation projects.

The overall outlook for data- and technology-related professions continues to show strong growth potential. The World Economic Forum's Future of Jobs Report 2025 identifies Big Data Specialists and AI and Machine Learning Specialists among the fastest-growing technology roles in percentage terms through 2030. These findings are based on a global survey of more than 1,000 employers and should therefore not be interpreted as a forecast specifically for Spain.

The profession is also evolving towards increasingly hybrid roles. Understanding business processes remains essential, but the ability to work with data, automation and artificial intelligence creates more opportunities to contribute to business transformation projects.

Ultimately, a Business Analyst operates at the intersection of business challenges, people, processes, data and technology. Their role is to understand what an organisation needs to change and help turn those needs into practical, achievable solutions. Building a successful career in this field requires business knowledge, analytical abilities and communication skills, all of which are just as important as proficiency with specific tools.