Data Visualization Specialist - Onsite

Job Profile

RESPONSIBILITIES

Analytics delivery and solution ownership

• Lead the end-to-end development of analytics use cases, from problem definition to delivery and adoption
• Translate business needs into clear analytical requirements and technical specifications
• Drive solution design, ensuring scalability, reliability and usability

Data preparation and engineering

• Identify, source and integrate relevant data from multiple systems
• Prepare, clean and structure data using tools such as SQL, Python, or Dataiku
• Collaborate with data engineering and modeling teams to ensure robust data pipelines and data quality

Data visualization and dashboarding

• Design and build advanced Tableau dashboards tailored to business needs
• Apply best practices in data visualization, usability and storytelling
• Continuously improve existing dashboards based on user feedback and evolving requirements

Stakeholder engagement

• Act as a trusted partner to business stakeholders, managing expectations and driving alignment
• Communicate insights clearly through presentations and regular updates
• Support decision making by translating data into actionable insights

YOUR PROFILE

Experience

• 7+ years of experience in data analytics, business intelligence, or a related field
• Proven track record of delivering analytics solutions in complex environments
• Experience in financial services or wealth management is a strong advantage

Technical skills

• Advanced expertise in Tableau, including dashboard design, performance optimization, and data storytelling
• Strong understanding of data visualization best practices and user-centric design
• Solid working knowledge of SQL for data querying, transformation, and validation
• Working knowledge of Python (or similar) for data preparation and complementary analysis

Business and soft skills

• Strong analytical thinking and problem-solving abilities
• Ability to translate business questions into structured analytical approaches
• Excellent communication skills, with the ability to interact with both technical and non-technical audiences
• Proactive mindset with a high level of ownership and accountability
• Experience working with cross functional teams in an agile or iterative environment

Education

• Bachelor or Master s degree in Data Science, Business Analytics, Engineering, Finance, Economics, or a related field

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