Analyst

About the Role

Accenture S&C Global Network - Data & AI practice helps clients grow their business in new ways. Analytics enables clients to achieve high performance through data insights, informing better decisions and strengthening customer relationships. Accenture works with organizations to develop analytic capabilities from data access and reporting to predictive modeling to outperform the competition.

Key Responsibilities

• Support delivery of small to medium-sized teams to deliver consulting projects for global clients.
• Work on high-visibility projects with top Pharma clients around the globe.
• Responsibilities may include strategy, implementation, process design, and change management for specific modules.
• Work with the team or as an individual contributor on assigned projects, utilizing skills from Data Engineering to Data Science.
• Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community.
• Work on a variety of projects in Data Modeling, Data Engineering, Data Visualization, Data Science, etc.
• Acquire new skills with utility across industry groups.

Requirements & Tech Stack

• Life Sciences/Pharma/Healthcare projects and delivering successful outcomes.
• Commercial, clinical, Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization.
• Good-to-have Skills: Proficiency in programming languages such as R, Python, SQL, Spark, AWS, Azure, or Google Cloud for deploying and scaling language models.
• Good-to-have Skills: Data Visualization tools like Tableau, Power BI.

Qualifications

• Ability to solve complex business problems and deliver client delight.
• Strong writing skills to build points of view on current industry trends.
• Good communication, interpersonal, and presentation skills.