Data Visualization - Life Sciences Sector - Senior - Consulting - Location OPEN

Ernst & Young - Woodbridge Township, NJ

Full-time - Senior

Woodbridge Township, NJ

Professional, Scientific, and Technical Services

About the position

The Senior Data Visualization Consultant at EY focuses on delivering exceptional services in the Life Sciences sector by applying advanced analytics techniques. This role involves transforming complex data sets into actionable insights to help clients solve critical business challenges. The position emphasizes collaboration with clients and diverse teams to develop innovative data visualization solutions that enhance decision-making processes.

Responsibilities

• Conceptualizing, developing, and optimizing data visualization solutions for clients.
• Assisting multiple client engagement teams in navigating advanced analytics and data visualization.
• Providing unique business perspectives on how data visualization can transform organizations.
• Developing and implementing data collection systems and strategies to optimize statistical efficiency and data quality.
• Interpreting data and analyzing results using statistical techniques, providing ongoing visual reports.
• Identifying, analyzing, and interpreting trends or patterns in complex data sets through visual means.
• Working with management to prioritize business and informational needs through data visualization.
• Developing models to support decision-making in specified functional areas and defining metrics through visual insights.
• Providing statistical expertise and guidance to Life Science teams and stakeholders through visual storytelling.

Requirements

• Strong Life Sciences Functional and Technical experience, with a focus on data visualization.
• Proven experience as a Data Analyst or Business Data Analyst with a strong portfolio in data visualization.
• Advanced level SQL programming and Data Visualization skills (Tableau, Power BI, Spotfire, D3.js).
• Experience in data storytelling and knowledge of how people make decisions with data.
• Knowledge in data modeling, data mining, and segmentation techniques, with the ability to present complex information visually.
• Strong analytical and problem-solving skills, as well as excellent oral and written communication skills.

Nice-to-haves

• Experience in the Life Sciences sector.
• Familiarity with advanced analytics techniques.
• Knowledge of statistical software and tools.

Benefits

• Inclusive culture and support for career development.
• Opportunities for research and development in advanced analytics.