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# Data Analyst

- **Company:** Cognizant
- **Location:** Barcelona, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Data Analysis, Tableau (Software), Usage Analysis, Chatbots, Large Language Models, Data Analytics, Databricks
- **Published:** October 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=33afd80f25332c5e

## About the Role

* +3 years of professional experience in Data Analytics, ideally with exposure to AI/ML use cases.
 * Knowledge of Tableau and Databricks.
 * Ability and willingness to understand the business context and why behind technical features.
 * Hands-on mindset, comfortable with day-to-day operational work and proactive engagement.
 * Strong communicator able to bridge business and technical stakeholders.
 * Experience with Product Analytics is a big plus.
 * Some knowledge of LLMs, chatbots, and AI customer service solutions is a plus.
 * Open to occasional travel across Europe.

Preferred Profile:

 * Someone with a strong analytical foundation, curiosity for AI and a customer-first mindset.
 * Comfortable in cross-functional, agile teams, ideally experienced with customer-facing products.
 * Experience working in nearshore teams for enterprise clients is advantageous

## Description

* Provide accurate and relevant data analysis to support informed business decisions.
 * Determine and prioritize the data requirements necessary to address business challenges and objectives.
 * Source, evaluate, and integrate new data sources to enhance analysis and insights.
 * Analysis, Insights gathering and recommendations for actions
 * Ensure that the data used for analysis is accurate, complete, and readily accessible.
 * Create clear and impactful visualizations, dashboards, and reports to communicate data insights effectively
 * Present and explain data findings to stakeholders in a way that is understandable and actionable.
 * Monitor and report on key performance indicators (KPIs) to track progress against business goals
 * Design and execute A/B tests and apply statistical methods to support data-driven decision-making.