Hiring.Camp

Data Analyst

Netcentric

·

Today

Location
Barcelona
Type
Full-time
Experience
3+ years
Closing date
Today
Source
CareersPage

Description

What makes Cognizant Netcentric a great fit for you?

At Cognizant Netcentric, we create memorable digital experiences for the world's leading brands. We are a diverse, global community of 1,500+ Adobe experts working across countries, cultures, and technologies.

Our inclusive culture blends the entrepreneurial spirit of a startup with the stability, resources, and learning opportunities of a global organisation.

With Holacracy at our core, every individual is empowered to make an impact.

Overview:

We are looking for a Data Analyst to support fast-paced AI-driven initiatives, such as digital assistants, voice bots and other next-gen support tools. These roles combine a strong foundation in Data Analytics (70%) with an affinity for Data Science (30%) and will help in defining success metrics, improving data quality, reporting, and generating insights that influence strategic decisions. The ideal candidate brings a deep curiosity for user behavior, proficiency in product analytics, and a customer-first mindset that drives actionable insights.

Key Responsibilities:

  • 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.

Requirements:

  • +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

At Cognizant Netcentric you get:

  • Permanent contract
  • 30 working days of vacation
  • Flexible working hours
  • Recognition bonus system
  • Private health insurance
  • Apple work equipment
  • WFH equipment + welcome package
  • WFH monthly expenses compensation
  • Access to different courses
  • Adobe certification
  • Sponsored gym membership
  • Tax-free benefits (ticket restaurant, kindergarten and transport)
  • A dynamic and international team
  • Everyone has a voice; we are a Holacracy organisation

At Cognizant Netcentric, we embrace an inclusive workplace, one where diversity is not just respected but celebrated. We do not discriminate based on age, gender, race, religion, sexual orientation, disability, or any other protected status. Our doors are wide open to all those who meet our high standards, and we cherish the distinct individuality and unique perspectives in our teams.

We firmly believe that a diverse and equitable workforce is the catalyst for groundbreaking innovation, boundless creativity, and seamless collaboration. We are aware of bias and have established clear criteria to take them out of the decision-making process, ensuring all qualified applicants will receive consideration for employment.

Skills

DatabricksData ScienceTableauCustomer Service

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