Data Analyst

Data Collection and Analysis:

• Identify relevant data sources to support future scenario analysis.
• Clean, validate, and preprocess data to ensure its accuracy and integrity.
• Apply statistical and analytical techniques to analyze data and extract meaningful insights.

Future Scenario Identification:

• Collaborate with cross-functional teams to understand the key assumptions related to potential future scenarios.
• Develop a deep understanding of the business landscape, industry trends, and external factors that may influence future outcomes.
• Identify and define relevant metrics and indicators to monitor and validate assumptions.

Early Signal Detection:

• Proactively monitor data sources, market trends, and emerging signals to identify early indicators that support or challenge key assumptions.
• Conduct exploratory data analysis and employ statistical methods to detect patterns, trends, and anomalies that may signify future developments.
• Develop and maintain dashboards, reports, and visualizations to communicate findings effectively.

Insights and Recommendations:

• Interpret analysis results and provide actionable insights to  client teams.
• Communicate potential implications of early signals on business strategies.
• Collaborate with customer teams to refine and adjust assumptions based on emerging insights.

Continuous Learning and Improvement:

• Stay abreast of industry trends, emerging technologies, and data analysis techniques.
• Continuously expand your knowledge and skills through training, self-learning, and professional development opportunities.
• Share knowledge and best practices with the team to enhance overall analytical capabilities.

• Masters degree in a relevant field (e.g., Data Science, Statistics, Mathematics, Economics).
• Proven experience as a Data Analyst, with a focus on data-driven analysis and insights generation.
• Proficiency in data manipulation and analysis using tools such as Python, R, Neo4J, SQL, or similar.
• Strong knowledge of statistical methods and techniques.
• Experience with data visualization tools to present findings effectively.
• Excellent analytical thinking, problem-solving, and attention to detail.
• Strong communication skills to convey complex concepts to both technical and non-technical stakeholders.
• Ability to work collaboratively in cross-functional teams and manage multiple priorities.
• Familiarity with future scenario analysis methodologies and techniques is a plus.

• You will be part of a small and agile team on a mission to deliver better market insights faster and more efficiently by combining innovative data technologies with artificial intelligence and human expertise . 
• You will be working for captains of industry that embrace innovation, sustainability goals and ecosystem thinking to stay ahead of the curve. 
• You will be working with colleagues who are open-minded, creative, collaborative, and love to generate impact. 
• You will receive a competitive salary package as well as coaching en encouragement for personal and professional growth.