Associate DI - DA Alvarez and Marsal

About Alvarez And Marsal

Job Description

You will join the Digital & Analytics team at A&M, where you collaborate with clients to enhance their data utilization and drive them towards becoming data-driven organizations. The team focuses on resolving intricate industry challenges by leveraging expertise in Digital Transformation, Data Strategy, Data Science, Advanced Analytics, and Automation. As a data analytics professional at A&M, you will play a vital role in enhancing the firm's data science and digital transformation capabilities, thereby delivering increased value to clients through analytics-driven operational enhancements and transformation projects. An ideal candidate for this position should possess proficiency in the following areas: - Proficient in at least one scripting language such as Python, R, Scala, Julia, PySpark. - Skilled in managing large-scale data and advanced SQL across relational and non-relational databases, Athena query engine, Postgre, BigQuery, etc. - Hands-on experience in developing dashboards using tools like PowerBI, Tableau, etc. - Strong PowerPoint presentation skills for effective communication. - In-depth knowledge and practical experience in various areas including machine learning, statistics, text analytics, graph analytics, deep learning, forecasting, optimization, recommendation systems, predictive analytics, information retrieval, and supply chain optimization. - Functional understanding of AWS, GCP, and Azure platforms would be advantageous. - Previous experience in Big4 accounting firms, FinTech, or BFSI sectors is a plus. - Ability to interpret informal customer requirements into problem definitions, managing ambiguity, iterating work, and handling competing objectives. - Review and ensure the quality of client engagement deliverables such as Business Cases, process design documents, and test strategies align with the statement of work and A&M standards. - Excellent verbal and written communication skills to effectively communicate analytic outcomes and considerations to non-experts. Preferred Qualifications: Candidates should possess a bachelor's degree in technology, economics, or statistics, or a master's degree in management, engineering, or statistics from reputable schools, along with a minimum of 3 years of relevant industry work experience in providing advanced analytics solutions.,