Amaris Consulting is looking for a Data Visualization & Analytics Specialist who is passionate about turning data into clear, actionable insights. In this role, you will analyze complex datasets, build impactful dashboards, and help stakeholders make data-driven decisions across the organization. This position is ideal for a data professional who combines strong analytical skills with a talent for storytelling and visual communication, and who enjoys working at the intersection of data, technology, and business. The role will support a key client of ours.

Key Responsibilities

As a Data Visualization & Analytics Specialist, your role may include:

• Analyzing datasets to identify trends, correlations, and patterns
• Designing and developing dashboards and reports using tools such as Power BI, Tableau, QlikSense, or QuickSight
• Translating stakeholder requirements into actionable data insights
• Communicating findings clearly to both technical and non-technical audiences
• Ensuring data quality and integrity through continuous auditing and validation
• Collaborating with cross-functional teams to embed data-driven insights into business strategies
• Providing guidance on best practices in data visualization and data storytelling
• Applying machine learning techniques to enhance predictive analytics and uncover deeper patterns in data
• Staying up to date with emerging trends and techniques in analytics, machine learning, and visualization

Your Profile

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• 3+ years of experience in data analysis and data visualization
• Strong experience with data visualization tools (Power BI, Tableau, QlikSense, QuickSight, or similar)
• Solid analytical skills with hands-on experience in SQL, Python, and/or R
• Hands-on experience with machine learning — and a genuine enthusiasm for applying it to real-world data challenges
• Experience with Java for data processing or system integration
• Excellent communication skills with the ability to translate complex data into clear insights
• Detail-oriented, structured, and quality-driven