{"id":3910029,"url":"https://alion.io/job/ey-senior-data-science-analyst","title":"Senior Data Science Analyst","company":{"id":2859,"name":"EY","domain":"ey.com","url":"https://alion.io/company/ey-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-11-07T02:00:00Z","employer_posted_date":"2026-11-07","last_verified_at":"2026-11-07T20:11:20Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.\nJob description: Analytics Senior Analyst\nFunction: Talent Executive, Talent Insights and\nAnalytics\nSub Function: Advanced Analytics\nPosition Summary:\nThis position is responsible for working across a range of analytics projects and solutions for internal clients,\ncollecting, 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,\nwhile ensuring that data is presented in a clear and usable format.\nEssential Functions of the Job:\nWork on a variety of analytics projects and solutions, collaborating with internal clients to understand theirneeds and deliver tailored insights that drive business outcomes.\nParticipate in project planning and execution, ensuring alignment with client objectives and timelines.\nCollect, analyze, and interpret large data sets to identify trends, patterns, and anomalies that inform strategic decision-making within EY.\nUtilize advanced analytics modeling techniques to derive actionable insights and support data-driven recommendations.\nDevelop and implement advanced analytics models to extract insights and predict trends, optimizing decision-making processes for internal clients.\nCollaborate with team members to refine modeling approaches and ensure alignment with project goals.\nContinuously develop knowledge of analytics methods and best practices to effectively address the evolving needs of internal clients.\nStay informed about industry trends and emerging technologies in analytics, integrating new techniques into project work as appropriate.\nAs required, gather and analyze external market data to provide additional insights for internal clients,enhancing the depth and relevance of analytics projects.\nEnsure that data insights are presented in a clear and usable format, utilizing data visualization tools to enhance understanding and facilitate decision-making.\nPrepare reports and presentations that effectively communicate analytical findings to stakeholders at all levels.\nAnalytical/Decision Making Responsibilities:\nCollection, analysis, and interpretation of large data sets to identify trends, patterns, and anomalies that inform strategic decision-making for internal clients.\nUtilization of advanced analytics modeling techniques to extract insights and predict trends, providing data-driven recommendations that optimize decision-making processes.\nGeneration of actionable insights from data analysis, translating findings into clear recommendations that support informed business decisions.\nGathering and analysis of external market data as needed, enhancing the depth and relevance of insights provided to internal clients.\nEnsures 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.\nIdentification of opportunities for process improvements in data analysis and modeling practices, proposing enhancements that increase efficiency and effectiveness in analytics efforts.\nKnowledge and Skills Requirements:\nStrong proficiency in data analysis techniques and methodologies, with the ability to interpret complex data sets and derive actionable insights. \nUnderstanding of statistical methods and concepts, including regression analysis, hypothesis testing, and data distribution, to support data-driven decision-making. \nFamiliarity with advanced analytics modelling techniques, including machine learning and predictive analytics, to extract insights and predict trends. \nProficiency in data manipulation and programming languages such as SQL, Python, or R, enabling effective data extraction, transformation, and analysis. \nExperience with data visualization tools (e.g., Tableau, Power BI) to create compelling visual representations of data that facilitate understanding and communication of insights. \nStrong problem-solving skills to identify issues, evaluate options, and implement effective solutions in thecontext of data analysis. \n\nHigh level of attention to detail to ensure data accuracy and consistency in analysis and reporting. \nExcellent verbal and written communication skills to effectively convey analytical findings to diverse stakeholders, ensuring clarity and engagement. \nA commitment to staying current with industry trends, emerging technologies, and best practices in data analytics, adapting skills and knowledge accordingly. \nJob description: Analytics Senior Analyst\nSupervision Responsibilities:\nProvide support and guidance to junior team members, assisting in their development and fostering a collaborative team environment. \nShare knowledge and best practices with team members to promote continuous learning and improvement.\nAbility to work collaboratively within a team environment, contributing to group efforts and supporting colleagues in achieving common goals. \nOther Requirements:\nDue to global nature of the role; travel and willingness to work alternative hours will be required \nDue to global nature of the role; English language skills - excellent written and verbal communication will be required \nJob Requirements:\nEducation:\nEducated to degree level \nHigher professional or master’s qualification is preferred, not required\nCertification Requirements:\nHigher professional or master’s qualification in a related discipline is preferred, not required\nActive membership in related professional bodies or industry groups is preferred, not required\nExperience:\nSignificant experience in a closely related Data analytics / data / insights driven role.\nExperience in solving problems in a structured manner and delivering results in a complex and dynamic environment.\nExperience of developing digital capability, defining key digital competencies for the team, and ensuring provision of learning to advance skills.\nDemonstrable experience of collaborating with talent colleagues to understand needs / requirements and of shaping digital solutions.\nDemonstrable experience of working with third party vendors / external system implementors to deliver reporting, insights, and analytical solutions from design to enablement.\nExperience of leading and participating in global dispersed teams to enhance services, processes, and standards.\nDemonstrable experience of working in fast-paced, ambiguous environments to deliver required results.\nDemonstrable experience of anticipating issues and challenges and proactively working to navigate challenges.\nExperience of conducting internal and external research and analysis, providing best practices and insights to drive improvements.\nDemonstrable experience of having worked to lead or provide SMR advice to achieve successful change outcomes.\nEY | Building a better working world\nEY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.\nEnabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.\nWorking across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the 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