Data Analyst - Senior

3 - 7 years

0 Lacs

Posted:1 week ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

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. **Qualification Required:** - Minimum 5 years of relevant work experience, with at least 3 years in advanced data analysis, statistical modeling, or business intelligence. - Bachelor's degree (B.E./B.Tech) in Computer Science, IT, or a Bachelor's 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. In addition to the technical skills required for this role, you are expected to be a team player with strong analytical, communication, and interpersonal skills. Constantly updating yourself about new technologies in the market, having a winning personality, and the ability to become a trusted advisor to the stakeholders are attributes that will contribute to your success in this position. At EY, you will have the opportunity to work in a globally connected powerhouse of diverse teams and contribute to building a better working world. By leveraging technology and innovation, you will be at the forefront of integrating emerging technologies from AI to Data Analytics into every corner of what EY does. EY is committed to creating new value for clients, people, society, and the planet while building trust in capital markets. As part of the EY team, you will have access to support for flexible working, career development opportunities, coaching, and feedback from engaging colleagues, and the freedom and flexibility to handle your role in a way that suits you best.,

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EY

Professional Services

London

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