Company
Consulting
DataAnalyst,Senior
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Analyst, Senior. Skills: Data analysis, BI tools, AI tools. Manage and support implementation of digital products. Ensure successful deployment, adoption, and optimization”
Industry & Context.
Problem-solving
What They're Looking For.
Must Have
6 years of professional experience in data-focused roles, 3 years of experience in consulting or client-facing roles, Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field, Proficiency in SQL, Experience with database technologies, Advanced experience with Business Intelligence tools, Command of Excel, PowerPoint, Power Query, and Jira, Understanding of ETL processes, Basic familiarity with machine learning concepts, Ability to write and use AI prompts, Experience in unit testing, QA processes, and data validation, Analytical thinking, Excellent attention to detail, Data storytelling capabilities, Excellent communication skills, Teamwork, Adaptability, Problem-solving mindset, Fluent professional English, Degree in a relevant technical or analytical field
Nice to Have
Additional European language skills are a plus, PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Manage and support implementation of digital products
Ensure successful deployment
Analyze complex datasets
Deliver high-quality insights
Identify opportunities for automation
Standardize processes
Improve efficiency using AI and advanced analytics
Collaborate with distributed
cross-functional teams
Ensure effective project delivery
Align with client requirements
Develop and maintain documentation
Develop and maintain reports
Develop and maintain dashboards
Develop and maintain executive presentations
Configure and support product deployments
Deliver training sessions to internal teams and clients
Work directly with customers
Ensure best practices in product usage
Ensure best practices in implementation
Ensure best practices in data interpretation
Leverage AI tools and advanced technologies
Enhance multilingual configuration
Enhance delivery support
Conduct quality assurance activities
Ensure reliability of delivered solutions
Ensure performance of delivered solutions
Contribute to agile squads
Participate in ceremonies
Support continuous improvement initiatives
How You'll Work.
Team & Collaboration
Distributed, cross-functional teams; Agile squads; Ceremonies
Communication Scope
Data storytelling; Reporting; Visualization; Executive presentations
Process & Methodology
Jira, Agile
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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