Data Analyst, Senior

Accountabilities

• Manage and support the implementation of global digital products and solutions, ensuring successful deployment, adoption, and ongoing optimization.


• Analyze complex datasets and deliver high-quality insights through data storytelling, reporting, and visualization tools.


• Identify opportunities for automation, process standardization, and efficiency improvements using AI and advanced analytics.


• Collaborate with distributed, cross-functional teams to ensure effective project delivery and alignment with client requirements.


• Develop and maintain documentation, reports, dashboards, and executive presentations using tools such as PowerPoint and BI platforms.


• Configure and support product deployments, including delivering training sessions to internal teams and clients.


• Work directly with customers to ensure best practices in product usage, implementation, and data interpretation.


• Leverage AI tools and advanced technologies to enhance multilingual configuration, analysis, and delivery support.


• Conduct unit testing and quality assurance activities to ensure the reliability and performance of delivered solutions.


• Contribute to agile squads, participate in ceremonies, and support continuous improvement initiatives across projects.

Requirements

• Minimum 6 years of professional experience in data-focused roles, ideally within consulting or technology environments.


• At least 3 years of experience working in consulting organizations or client-facing project delivery roles.


• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.


• Strong proficiency in SQL and experience with database technologies such as Databricks and MongoDB.


• Advanced experience with Business Intelligence tools such as Power BI, Tableau, or equivalent visualization platforms.


• Strong command of Excel, PowerPoint, Power Query, and Jira for analysis, reporting, and project management.


• Understanding of ETL processes and basic familiarity with machine learning concepts.


• Ability to write and use AI prompts to support and optimize analytical and operational tasks.


• Experience in unit testing, QA processes, and data validation activities.


• Strong analytical thinking with excellent attention to detail and data storytelling capabilities.


• Excellent communication skills with the ability to translate technical insights into business value.


• Strong teamwork, adaptability, and problem-solving mindset in fast-paced environments.


• Fluent professional English is required; additional European language skills are a plus.


• Degree in a relevant technical or analytical field is required.

Benefits

• Competitive compensation package (details adapted to location and experience).


• Fully remote position within Europe with flexible working arrangements.


• Long-term international project exposure with global clients and teams.


• Opportunity to work on impactful digital transformation initiatives in sustainability and risk management.


• Strong focus on career development, learning, and continuous upskilling.


• Exposure to advanced technologies including AI, data platforms, and automation tools.


• Collaborative and multicultural work environment with distributed teams.


• Participation in agile squads and innovative delivery frameworks.


• Access to complex, large-scale projects with real-world business impact.


• Opportunities to grow within consulting, data, or leadership career paths.

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