Data Analyst

Wall Street English; Barcelona; Hybrid; EUR 42,000 - 62,000; Full time

Job summary

Wall Street English is seeking a Data Analyst to join our Data Analytics and BI team in Barcelona, Spain. You will lead projects from start to finish, partnering with Product teams to drive data-driven decisions and build dashboards that inform growth and profitability.

You will work with AI-enabled analytics, validate AI outputs, and help teams adopt data literacy while following Agile practices. English fluency is required for cross-team collaboration.

Qualifications

• 3–5 years of professional experience in an analytics role.
• Advanced SQL and Excel skills.
• Strong data visualization skills with Power BI.
• Experience with Python or R.
• Experience with web and app tracking data.
• Practical experience using AI assistants with judgment to verify outputs.
• Native or bilingual English.

Responsibilities

• Analyze and explore datasets to uncover insights.
• Design, build, and improve dashboards and reports with high-quality visualizations.
• Partner with Product Managers and multiple Product teams to deliver actionable insights.
• Define KPIs and measure feature performance to support product decisions with data.
• Identify opportunities to prototype AI/ML solutions within product systems.

Skills

SQL

Excel

Power BI

Python

R

Web analytics

AI-assisted analysis

English proficiency

Education

STEM degree or equivalent

Tools

Power BI

Job description

Wall Street English is looking for a Data Analyst to join our Data Analytics and BI team in Barcelona, Spain.

Reporting to the Director of Analytics and BI, you will work directly with multiple Product teams. You will lead projects from start to finish with moderate support. We are looking for a proactive self-starter who will champion data-driven decisions within Product. This role offers many chances to build skills across disciplines as we find new ways to drive growth and profitability.

Our team turns information into action. We work closely with Product teams to spot opportunities, then build solutions, from clear analyses and visualizations to AI and ML models where they add value. We design robust tests and measure what works. We also use AI tools to speed up analysis, automate reporting, and uncover new insights, with human judgment and rigor at the center.

What You Will Be Doing

Analyze and Explore

• Manipulate and explore new datasets to uncover insights.
• Conduct A/B test analysis and prepare comprehensive reports.

Build Dashboards and Reporting

• Design, build, and improve dashboards and reports with high-quality visualizations.

Partner with Product Teams

• Deliver actionable insights to Product Managers and multiple Product teams.
• Define KPIs, measure feature performance, and support product decisions with data.
• Identify where data can solve problems within product systems, including opportunities to prototype AI and ML solutions.

Adopt AI and Enable Teams

• Use AI tools, such as LLM assistants and AI-assisted coding, to accelerate analysis, queries, documentation, and reporting.
• Critically validate AI outputs before relying on them.
• Help Product teams adopt AI-enabled analytics and self-serve data, building data literacy along the way.

Ways of Working

• Follow an Agile methodology and keep workload and progress transparent.

Your Profile

• Degree in a STEM subject or equivalent practical experience.
• 3 to 5 years of professional experience in an analytics role.
• Advanced SQL and Excel skills.
• Strong data visualization skills, such as Power BI.
• Experience with Python or R.
• Experience with web and app tracking data.
• Practical experience using AI assistants, with the judgment to verify their outputs.
• Native or bilingual English.

Nice to Have

• Experience with data warehouses, such as Redshift.
• Familiarity with modern data stack tools, such as dbt and cloud warehouses.
• Prompt design or building simple AI-powered workflows and automations.
• Understanding of data privacy and responsible AI use, including GDPR and keeping sensitive data away from external tools.

Hybrid Work Schedule

2 days in the office, 3 days working from home. The office is located in Barcelona’s city center.

With Wall Street English you will go further.

We are Wall Street English, the premier provider of English language instruction for individuals and corporate clients around the world. Built to be the best, by the best, our highly-qualified teachers, personal coaches, immersive classes and proven method mean guaranteed results.

Founded in 1972, Wall Street English is one of the leading global English language education companies. We've taught more than 3 million students in more than 40 territories around the world. Now our premium learning offer is available online, in-person or a mix of both. With Wall Street English you will go further.

Take a look at what some of our employees say about working with us: Find Your Future. Find Your Home.

Commitment to Diversity, Equity & Inclusion

We foster a work environment that is inclusive as well as diverse, where we reflect our customers and students, and where our people can be themselves. We do not discriminate on the basis of gender, race, national origin, religion, age, disability, gender identity or reassignment, sexual orientation, or any other characteristics or categories protected by specific Company employment policies or applicable laws.

Equal Opportunity for Candidates with Disabilities (Spain)

Our company is committed to equal opportunities and especially welcomes applications from candidates in Spain with a recognized disability of 33% or more. Selected candidates may be asked to provide proof of a recognized disability (33% or higher) after the selection process. Any disability-related information provided will be treated confidentially and used solely for recruitment purposes, in accordance with data protection laws.