Company
Analyst
DataAnalyst,Senior
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Analyst, Senior. Skills: data storytelling, SQL, Business Intelligence tools, AI prompts, communication skills. 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”
What You'll Achieve.
ensuring successful deployment, adoption, and ongoing optimization. deliver high-quality insights. ensure effective project delivery and alignment with client requirements. ensure the reliability and performance of delivered solutions.
Industry & Context.
analytical thinking; problem-solving
Fluent professional English is additional European language skills are a plus.
What They're Looking For.
Must Have
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. 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. 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. analytical thinking with excellent attention to detail and data storytelling capabilities. Excellent communication skills with the ability to translate technical insights into business value. teamwork, adaptability, and problem-solving mindset in fast-paced environments. Fluent professional English is additional European language skills are a plus. Degree in a relevant technical or analytical field is required.
Nice to Have
additional European language skills are a plus
What You'll Do.
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.
Configure and support product deployments, including delivering training sessions.
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.
Contribute to agile squads, participate in ceremonies, and support continuous improvement initiatives.
How You'll Work.
Team & Collaboration
Collaborate with distributed, cross-functional teams. Contribute to agile squads, participate in ceremonies. Collaborative and multicultural work environment with distributed teams.
Communication Scope
communication skills; data storytelling
Process & Methodology
project management
Full Job Description
## 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 co
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