Data Analyst supporting the operation of virtual power plants at DieEnergiekoppler GmbH. Analyze data, improve marketing potential, and support client operations in an agile environment.
About the role
- Client Solutions Data Analyst at RELX, translating data insights into strategic business recommendations. Supporting analytics solutions to help clients address critical business challenges.
Responsibilities
- Translate analytical findings into business-relevant, actionable insights that inform strategy and decision-making rather than reporting results alone.
- Evaluate the effectiveness of initiatives and activities to assess impact on performance, perception, and risk, and identify opportunities to strengthen outcomes.
- Deliver concise, insight-driven deliverables that clearly articulate implications, recommendations, and the 'so what' needed to guide future actions.
- Serve as a senior data and analysis expert supporting analytics and AI-enabled data solutions to address clients’ most critical business challenges.
- Produce high-quality analytical reports, summaries, dashboards, newsletters, executive briefs, and presentations that translate findings into clear strategic direction, enabling clients to understand priorities, risks, opportunities, and recommended actions.
- Monitor AI-driven outputs and performance indicators, analyze trends and patterns, and provide data-driven recommendations for continuous improvement.
- Present analytical findings and AI-enabled insights clearly and effectively, tailoring communication to different audiences and levels of technical understanding.
- Deliver ad hoc analyses and reporting in response to business and client needs.
- Support analytical project planning and execution activities across relevant tools, platforms, and systems.
Requirements
- Bachelor’s degree in business, analytics, statistics, economics, computer science, or a related field preferred.
- 6–10 years of experience in data analysis, analytics consulting, or client-facing analytical roles.
- Hands-on experience with data analysis and AI-enabled tools or platforms in a business or professional services environment.
- Experience supporting B2B and/or B2C clients with data-driven insights and solutions.
- Strong problem-solving skills with excellent attention to detail and data quality.
- Ability to work independently and collaboratively in a cross-functional environment.
- Strong written and verbal communication skills, including the ability to present complex information clearly.
- Experience supporting continuous improvement or change initiatives preferred.
- Knowledge of data governance, ethical data usage, and compliance considerations is a plus.
- Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.
Benefits
- country specific benefits
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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