Data Analyst Consultant

This is a consultancy mission for a Data Analyst, where you will represent Keystone Solutions on-site at a client in the financial sector. As a Keystone Solutions consultant, you will be embedded within the client’s Customer Analysis team, working closely with internal stakeholders to translate business needs into actionable data-driven insights. All responsibilities and requirements listed below will be performed under Keystone Solutions’ consultancy model, offering you the opportunity to work on dynamic projects across various client environments., * Act as a business and data analyst within the Customer Analysis team, collaborating with team members and stakeholders to translate business needs into hypotheses for verification using client data.

• Demonstrate strong knowledge of the business context and apply a critical, analytical mindset to research needs, focusing on key outcomes.
• Identify, transform, and analyze relevant data (variables, formats, sources) to support business needs and client-data related questions.
• Gather, transform, and analyze raw data using sourcing techniques.
• Deliver business impact to improve customer approach.
• Present concise stories in PowerPoint with key conclusions and recommendations based on data analysis., * Consultancy Nature: Embrace your identity as a consultant, working on-site and delivering value directly to clients.
• Dynamic Projects: Experience a wide variety of challenges and environments, broadening your expertise across multiple client projects.
• Turbo-Charged Learning: Accelerate your professional development with exposure to diverse business contexts and advanced analytics tools.
• Skyrocketing Ambition: Grow your career within a framework that values ambition and supports your upward trajectory.
• K-Stone Values: As a K-Stone, you bring our core values-commitment, flexibility, and excellence-to every engagement.

Do you have experience in SQL?, Do you have a Master’s degree?, * Fluency in Dutch, French, and English is mandatory.

Education:

• Master’s degree in economics or another academic background with substantial knowledge and experience in data and analytics in a business context.

Required Experience and Knowledge:

• At least 4 years of relevant experience in Data Analytics.

Technical Experience:

• Data analysis is part of your DNA.
• Proven experience with SAS EG, SQL, and Python for data capture and transformation.
• Power BI reporting skills.
• Ability to set up ad hoc queries and reports using various data analytics tools.
• Eagerness to identify and understand relevant data, analyze it effectively, and provide actionable business recommendations.
• Experience with Gitlab is an asset.

Business Experience:

• Good knowledge of bank and insurance products and the sector is mandatory.

Soft Skills:

• Team player
• Quick self-starter with a proactive attitude
• Strong communication and influencing skills
• Excellent analytical and synthesis skills
• Autonomy, commitment, and perseverance
• Ability to work in a dynamic, multicultural environment
• Customer-oriented, critical, and flexible