FOR QUICK APPLY, PLEASE REACH OUT ANMOL TYAGI AT 248-263-8628/ANMOL.TYAGI@STEFANINI.COM

We are looking for a Data Visualization Specialist to join our team and lead the way in creating insightful and interactive dashboards. In this role, you’ll be responsible for crafting visually compelling and data-driven experiences primarily using Power BI. You will work closely with stakeholders to understand their needs, design intuitive interfaces, and integrate advanced analytics and AI to deliver actionable insights. If you have a passion for data visualization, a strong understanding of front-end development principles, and a desire to explore the future of Business Intelligence with AI, we encourage you to apply!

EXPERIENCE REQUIRED

• 5+ years of experience in Data visualization and front-end dashboard development.
• Strong proficiency in Power BI, including DAX, Power Query, and custom visuals.
• Strong understanding of UX principles and best practices for dashboard design.
• Solid understanding of data modeling concepts and experience working with relational databases and data warehouses.
• Advanced SQL skills duties will include reviewing logic for data transformations, writing lots of queries, and building data models, being proficient in SQL is a must.
• Excellent communication, collaboration, and presentation skills.
• Experience with digital analytics data and ecommerce analytics applications (Adobe clickstream, transaction, and OMS data)
• Familiarity with agile development methodologies.

EXPERIENCE PREFERRED

• Experience with cloud platforms (e.g., GCP, Azure, AWS) and data engineering tools is a plus.
• Experience integrating AI/ML models and insights into dashboards.
• Experience with other data visualization tools such as Qlik, Tableau, or similar platforms.
• Familiarity with front-end development technologies such as HTML, CSS, and JavaScript (for custom visuals or integrations).
• Experience with Specific Tools: QlikSense, Power BI, Alteryx, SQL, GCP, and Adobe Analytics.

EDUCATION REQUIRED

• Bachelor’s degree in quantitative fields such as statistics, mathematics, computer science, or business analytics.

EDUCATION PREFERRED

• Master’s Degree: Master’s degree in a related field.
• Industry Certifications: Adobe Analytics Certification and/or Alteryx Workflow Certified

*LISTED SALARY RANGES MAY VARY BASED ON EXPERIENCE, QUALIFICATIONS, AND LOCAL MARKET. ALSO, SOME POSITIONS MAY INCLUDE BONUSES OR OTHER INCENTIVES**

Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process, including interviews and job offers.

• Design, develop, and maintain interactive dashboards and reports using Power BI and other front-end visualization tools.
• Focus on user experience (UX) and create intuitive interfaces that enable users to easily explore and understand data. Optimize dashboard performance for speed and scalability.
• Collaborate with data engineers to ensure data is readily available and optimized for visualization.
• Transform raw data into clean, tested, and reusable datasets for dashboarding purposes. Implement data quality checks and monitoring to ensure accuracy and reliability.
• Integrate AI-driven insights and predictive analytics into dashboards to provide deeper understanding and future-looking perspectives.
• Work with AI models to surface key trends, anomalies, and opportunities within the data. Explore and implement new AI-powered visualization techniques.
• Work closely with business stakeholders to understand their analytical needs and translate them into effective dashboard designs.
• Present dashboard designs and findings to stakeholders, clearly communicating insights and recommendations.
• Collaborate with other developers and designers to ensure consistency and best practices across all visualizations.
• Create and maintain comprehensive documentation for dashboards, including data sources, calculations, and usage guidelines.
• Provide training and support to end-users on how to effectively use and interpret dashboards.