Data Analyst - Senior

Job Description

As a Specialist II, Data Analyst at EY, your role involves leveraging data-driven insights to support strategic business decisions and improve operational efficiency. You will be responsible for structuring complex business requests into analytical projects, extracting and analyzing large datasets from multiple sources, and developing automated reporting solutions to enhance data accessibility and decision-making.**Key Responsibilities:**- Engage with internal stakeholders to understand business objectives, translate requirements into analytical projects, and drive end-to-end execution with structured problem-solving.- Gather, clean and validate structured and unstructured datasets from multiple sources, ensuring accuracy, completeness, and consistency in data processing.- Perform deep-dive analysis and statistical modeling to identify trends, correlations, and business drivers, enabling data-backed decision-making.- Design and develop visually compelling dashboards and reports using Power BI, Tableau, or similar tools to simplify complex data for business users.- Automate recurring reporting and analytics workflows using SQL and Python, reducing manual efforts and improving data accessibility.- Implement predictive models, clustering techniques, and forecasting algorithms to support business strategy, risk assessment, and operational planning.- Work closely with data engineers, IT teams, and business stakeholders to enhance data architecture, ensuring seamless data integration and availability.- Validate, optimize, and standardize analytical methodologies, ensuring accuracy, efficiency, and best practices in data analysis.- Mentor, train, and provide guidance to junior analysts, fostering a culture of knowledge sharing and continuous learning within the analytics team.**Qualifications Required:**- Minimum 5 years of relevant work experience, with at least 3 years in advanced data analysis, statistical modeling, or business intelligence.- Bachelors degree (B.E./B.Tech) in Computer Science, IT, or a Bachelors in Statistics/Mathematics.- Strong proficiency in SQL for querying, data extraction, and performance optimization.- Expertise in Python or R for data manipulation, automation, and advanced analytics.- Hands-on experience with data visualization tools like Power BI, Tableau, or Looker to create interactive reports.EY is a global leader in assurance, tax, transaction, and advisory services, with a focus on technology solutions integrated into client services. As part of Client Technology at EY, you will have the opportunity to work with technologists and business experts to drive growth opportunities and innovation through emerging technologies like AI and Data Analytics. Join EY to build a better working world and shape the future with confidence. As a Specialist II, Data Analyst at EY, your role involves leveraging data-driven insights to support strategic business decisions and improve operational efficiency. You will be responsible for structuring complex business requests into analytical projects, extracting and analyzing large datasets from multiple sources, and developing automated reporting solutions to enhance data accessibility and decision-making.**Key Responsibilities:**- Engage with internal stakeholders to understand business objectives, translate requirements into analytical projects, and drive end-to-end execution with structured problem-solving.- Gather, clean and validate structured and unstructured datasets from multiple sources, ensuring accuracy, completeness, and consistency in data processing.- Perform deep-dive analysis and statistical modeling to identify trends, correlations, and business drivers, enabling data-backed decision-making.- Design and develop visually compelling dashboards and reports using Power BI, Tableau, or similar tools to simplify complex data for business users.- Automate recurring reporting and analytics workflows using SQL and Python, reducing manual efforts and improving data accessibility.- Implement predictive models, clustering techniques, and forecasting algorithms to support business strategy, risk assessment, and operational planning.- Work closely with data engineers, IT teams, and business stakeholders to enhance data architecture, ensuring seamless data integration and availability.- Validate, optimize, and standardize analytical methodologies, ensuring accuracy, efficiency, and best practices in data analysis.- Mentor, train, and provide guidance to junior analysts, fostering a culture of knowledge sharing and continuous learning within the analytics team.**Qualifications Required:**- Minimum 5 years of relevant work experience, with at least 3 years in advanced data analysis, statistical modeling, or business intelligence.- Bachelors degree (B.E./B.Tech) in Computer Science, IT, or a Bachelors in Statistics/Mathematics.- Strong proficiency in SQL for querying, data extraction, and performance optimization.

Keyskills :
SQLPythonData VisualizationPower BI