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# Data Analyst

- **Company:** Cognizant
- **Location:** Barcelona, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Python (Programming Language), SQL Databases, Tableau (Software), Usage Analysis, Chatbots, Large Language Models, Data Analytics
- **Published:** August 14, 2026
- **Apply:** https://www.jobleads.com/es/job/eaeb4d0ac9e08da83eb109e633849fe6e

## About the Role

* 3-5 years of professional experience in Data Analytics, ideally with exposure to AI/ML use cases.
 * Proficiency in SQL, Python, and Tableau (or equivalent BI tools).
 * 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., * 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

* Design and implement customer journey tracking mechanisms.
 * Extract, prepare, and explore data from multiple sources to uncover actionable insights, possibly by joining several data sources.
 * Design dashboards in Tableau for structured or ad-hoc visualizations.
 * Create automated reporting solutions using tools like SQL, Python or Tableau to streamline regular reporting tasks and reduce manual efforts.
 * Conduct exploratory data analysis to uncover patterns, correlations, and insights within the data.
 * Support OKR tracking by aligning data metrics to business objectives and monitoring performance over time.
 * Collaborate closely with business analysts, developers, data engineers and other stakeholders to translate business needs into data requirements.


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