Senior Data Science Analyst

Job Title: Senior Data Science Analyst Company: EY Job Category: Data Science Roles & Responsibilities: Job description: Analytics Senior Analyst Function: Talent Executive, Talent Insights and collecting, analyzing, and interpreting data to support informed decision\-making. The Analytics Senior Analyst will utilize advanced analytics modeling techniques to extract insights, predict trends, and optimize decision\-making, Essential Functions of the Job: * Work on a variety of analytics projects and solutions, collaborating with internal clients to understand theirneeds and deliver tailored insights that drive business outcomes. * Participate in project planning and execution, ensuring alignment with client objectives and timelines. * Collect, analyze, and interpret large data sets to identify trends, patterns, and anomalies that inform strategic decision\-making within EY. * Utilize advanced analytics modeling techniques to derive actionable insights and support data\-driven recommendations. * Develop and implement advanced analytics models to extract insights and predict trends, optimizing decision\-making processes for internal clients. * Collaborate with team members to refine modeling approaches and ensure alignment with project goals. * Continuously develop knowledge of analytics methods and best practices to effectively address the evolving needs of internal clients. * Stay informed about industry trends and emerging technologies in analytics, integrating new techniques into project work as appropriate. * As required, gather and analyze external market data to provide additional insights for internal clients,enhancing the depth and relevance of analytics projects. * Ensure that data insights are presented in a clear and usable format, utilizing data visualization tools to enhance understanding and facilitate decision\-making. * Prepare reports and presentations that effectively communicate analytical findings to stakeholders at all levels. Analytical/Decision Making Responsibilities: * Collection, analysis, and interpretation of large data sets to identify trends, patterns, and anomalies that inform strategic decision\-making for internal clients. * Utilization of advanced analytics modeling techniques to extract insights and predict trends, providing data\-driven recommendations that optimize decision\-making processes. * Generation of actionable insights from data analysis, translating findings into clear recommendations that support informed business decisions. * Gathering and analysis of external market data as needed, enhancing the depth and relevance of insights provided to internal clients. * Ensures that analytical results are presented in a clear and usable format, facilitating understanding and enabling stakeholders to make informed decisions based on the insights provided. * Identification of opportunities for process improvements in data analysis and modeling practices, proposing enhancements that increase efficiency and effectiveness in analytics efforts. Job description: Analytics Senior Analyst Supervision Responsibilities: * Provide support and guidance to junior team members, assisting in their development and fostering a collaborative team environment. * Share knowledge and best practices with team members to promote continuous learning and improvement. * Ability to work collaboratively within a team environment, contributing to group efforts and supporting colleagues in achieving common goals. Experience: * Significant experience in a closely related Data analytics / data / insights driven role. * Experience in solving problems in a structured manner and delivering results in a complex and dynamic environment. * Experience of developing digital capability, defining key digital competencies for the team, and ensuring provision of learning to advance skills. * Demonstrable experience of collaborating with talent colleagues to understand needs / requirements and of shaping digital solutions. * Demonstrable experience of working with third party vendors / external system implementors to deliver reporting, insights, and analytical solutions from design to enablement. * Experience of leading and participating in global dispersed teams to enhance services, processes, and standards. * Demonstrable experience of working in fast\-paced, ambiguous environments to deliver required results. * Demonstrable experience of anticipating issues and challenges and proactively working to navigate challenges. * Experience of conducting internal and external research and analysis, providing best practices and insights to drive improvements. * Demonstrable experience of having worked to lead or provide SMR advice to achieve successful change outcomes. Work Location: Bengaluru, Karnataka, India Availability: Full time

Knowledge and Skills Requirements: * Strong proficiency in data analysis techniques and methodologies, with the ability to interpret complex data sets and derive actionable insights. * Understanding of statistical methods and concepts, including regression analysis, hypothesis testing, and data distribution, to support data\-driven decision\-making. * Familiarity with advanced analytics modelling techniques, including machine learning and predictive analytics, to extract insights and predict trends. * Proficiency in data manipulation and programming languages such as SQL, Python, or R, enabling effective data extraction, transformation, and analysis. * Experience with data visualization tools (e.g., Tableau, Power BI) to create compelling visual representations of data that facilitate understanding and communication of insights. * Strong problem\-solving skills to identify issues, evaluate options, and implement effective solutions in the context of data analysis. * High level of attention to detail to ensure data accuracy and consistency in analysis and reporting. * Excellent verbal and written communication skills to effectively convey analytical findings to diverse stakeholders, ensuring clarity and engagement. * A commitment to staying current with industry trends, emerging technologies, and best practices in data analytics, adapting skills and knowledge accordingly. Job Requirements: Education: * Educated to degree level * Higher professional or master’s qualification is preferred, not required Certification Requirements: * Higher professional or master’s qualification in a related discipline is preferred, not required * Active membership in related professional bodies or industry groups is preferred, not required Key Skills: Data Science, Python, SQL, Data Visualization, Machine Learning, Power BI, Tableau Salary: Not disclosed