Senior Associate - Commercial Data & Analytics - Industrial Products PwC Acceleration Center India

3.0 - 7.0 years

0 Lacs

karnataka

On-site

You will focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients at PwC. Your role will involve transforming raw data into actionable insights to enable informed decision-making and drive business growth. Additionally, you will work on developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems. Your responsibilities will include organizing and maintaining proprietary datasets, transforming data into insights and visualizations to drive strategic decisions for clients and the firm. You will collaborate closely with industry leaders and cross-functional teams to develop high-impact insights for thought leadership, external media engagement, demand generation, client pursuits, and delivery enablement. As a critical member of the data science team, you will analyze large, complex datasets to uncover insights related to Industrial Products. You will also support the identification of new datasets to differentiate the firm and assist in building predictive models and data-led tools. Moreover, you will design and conduct experiments to measure the effectiveness of new approaches and partner with teams to translate analytical findings into actionable recommendations and compelling stories. It is essential to develop dashboards and reports using tools like Tableau, Power BI, or Looker for self-service analytics and decision-making. Staying updated on industry trends, customer behavior patterns, and emerging technologies is crucial in this role. Preferred skills include managing 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 business problems, explaining complex data concepts to non-technical stakeholders, working with industry-specific datasets and vendors, knowledge of geospatial or time-series analysis, and experience with commercial analytics and insights.,

Posted 1 week ago

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