Company DescriptionAt Cognizant Netcentric, we come to work every day with the mission of leveraging cutting-edge technology to create memorable digital experiences for the worlds leading brands. And we do it as a diverse, global community of over 1550+ Adobe experts collaborating across countries, cultures, languages and technologies.We're energized by an inclusive and responsive organizational culture that brings together the entrepreneurial spirit of a startup with the resources, growth opportunities and stability of a larger global organization.Holacracy is the cornerstone of how we work, empowering every individual with the power to make an impact within our organization. All this encourages us to learn and grow as individuals, and unite as a team to build innovative digital experiences that touch peoples lives.Role OverviewWe are looking for Data Analysts 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 behaviour, proficiency in product analytics, and a customer-first mindset that drives actionable insights.Key Responsibilities: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 timeRequirements:3-5 years of professional experience in Data Analytics, ideally with exposure to AI/ML-driven use casesStrong proficiency in SQL, Python, and business intelligence tools such as Tableau, Power BI, or LookerHands-on experience with Tag Management and Web Analytics tools (e.g. Google Analytics), cloud platforms (e.g. BigQuery, Microsoft Azure), and data visualization/reporting toolsAbility to translate business needs into analytical and technical requirements, with a solid understanding of the "why" behind product or data featuresExcellent communication skills, with the ability to effectively collaborate across business and technical teamsExperience in Product Analytics is a strong plusFamiliarity with Large Language Models (LLMs), chatbots, or AI-enabled customer service solutions is an advantageWillingness to travel occasionally across EuropeOpen to occasional travel across Europe.What makes us smile looking at your Profile:Strong analytical foundation, curiosity for AI and a customer-first mindset.Comfortable in cross-functional, agile teams, ideally experienced with customer-facing products.At Cognizant Netcentric you get:Permanent contract30 working days of vacationFlexible working hoursRecognition bonus systemPrivate health insuranceApple work equipmentWFH equipment + welcome packageWFH monthly expenses compensationAccess to Udemy coursesAdobe certificationSponsored gym membershipTax-free benefits (ticket restaurant, kindergarten and transport)A dynamic and international teamEveryone has a voice; we are a Holacracy organisationAt 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.