> Markdown version of [/jobs/ext/2168691-data-analyst-ai-insights-cognizant-netcentric](https://www.wearedevelopers.com/jobs/ext/2168691-data-analyst-ai-insights-cognizant-netcentric). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Analyst - AI Insights - Cognizant Netcentric

- **Company:** Cognizant
- **Location:** Girona, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Data Cleansing, Data Integration, Data Transformation, Python (Programming Language), LiveChat, Standard Sql, SQL Databases, Tableau (Software), Usage Analysis, Data Analytics, GPT, Databricks
- **Published:** August 21, 2026
- **Apply:** https://www.recruit.net/job/data-analyst-ai-insights-cognizant-jobs/03F2893276A1604A

## About the Role

* 3-5 years of experience in Data and Product Analytics
 * Strong ability to interpret data and translate insights into business actions
 * Solid working knowledge of SQL and data exploration (Databricks preferred)
 * Solid understanding of prompting and GPT models
 * Experience working with cross-functional teams (product, operations, data science)
 * Understanding of customer journeys and contact center environments
 * Experience building dashboards in Tableau or similar BI tools
 * Strong communication skills across technical and non-technical stakeholders
 * Hands-on, proactive mindset with ownership of end-to-end topics

## Description

We're looking for a Data Analyst to translate AI-generated insights from customer call transcripts into actionable product and operational improvements.

Embedded in a cross-functional team alongside Data Scientists and Product Managers, you'll bridge the gap between technical insights and real-world implementation - helping identify why customers call and driving initiatives that reduce call volume and improve customer experience. The role sits at the intersection of data analytics, customer experience,

and product development.

What you'll do

 * Work with AI-generated outputs from call transcript analysis (e.g., contact reasons, intent classification, conversation themes)
 * Interpret and validate AI insights in collaboration with Data Scientists, ensuring business relevance and clarity
 * Identify and structure key call drivers, customer pain points, and recurring issues
 * Translate insights into clear, actionable recommendations for product and operational teams
 * Collaborate with product teams to define features, improvements, and initiatives aimed at reducing call volume
 * Develop a deep understanding of customer journeys
 * Act as a bridge between Technical Team and Product Teams ensuring shared understanding of insights
 * Analyze call center performance using SQL and/or Python (Databricks) across structured metrics and conversational datasets when needed
 * Hands-on experience in connecting to various data sources, managing data integrations, and exploring and analyzing data across multiple platforms and systems.
 * Design, build, and maintain Tableau dashboards to track live chat KPIs and enable self-serve insights
 * Identify trends, customer pain points, and behavioral patterns, and translate them into actionable insights
 * Write advanced queries and data transformations to process large-scale, multi-source datasets
 * Perform data preparation, exploratory analysis, and reporting automation
 * Ensure data consistency, KPI alignment, and clarity across teams


## Related Videos

- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension)
- [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source)
- [AI PowerPlay: Building High-Impact Teams & Transformative Solutions](https://www.wearedevelopers.com/videos/1005-ai-powerplay-building-high-impact-teams-transformative-solutions)
- [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs)
- [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads)

## Related Articles

- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [The State of WebDev AI 2025 Results: What Can We Learn?](https://www.wearedevelopers.com/magazine/581-the-state-of-webdev-ai-2025-results-what-can-we-learn)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)