Senior Associate - Commercial Data & Analytics

As a member of the data and analytics engineering team at PwC, your focus will be on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. You will be instrumental in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Your role in data science and machine learning engineering will involve using advanced analytics and machine learning techniques to extract insights from large datasets and facilitate data-driven decision making. Your responsibilities will include developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems. Key Responsibilities: - Organizing and maintaining proprietary datasets - Transforming data into insights and visualizations for strategic decision-making - Collaborating with industry leaders and cross-functional teams to develop high-impact insights for thought leadership, media engagement, client pursuits, and delivery enablement Qualifications Required: - Demonstrated abilities in managing efforts to identify and address client needs - Analyzing large, complex datasets to uncover insights related to Industrial Products - Identifying new, cutting-edge datasets to enhance the firm's differentiation - Building predictive models, data-led tools, and conducting experiments to drive continuous improvement - Translating analytical findings into actionable recommendations and compelling stories - Developing dashboards and reports using tools like Tableau, Power BI, or Looker for self-service analytics - Staying updated on industry trends, customer behavior patterns, and emerging technologies - Experience managing high-performing data science and commercial analytics teams - Proficiency in SQL, Alteryx, Python, and/or R for data manipulation and modeling - Applying machine learning or statistical techniques to real-world business problems - Understanding key industry-specific metrics and explaining complex data concepts to non-technical stakeholders - Working with industry-specific datasets, vendors, geospatial analysis, and time-series analysis - Prior experience in commercial analytics and insights Please note that additional details about the company were not provided in the job description.,