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.my_style { font-family: Arial !important;font-size: 11pt !important;line-height:1.3em !important}.my_style h1 { font-family: Arial !important;font-size: 11pt !important;padding-bottom: 0.5em !important;padding-top: 0.5em !important}.my_style h2{ font-family: Arial !important;font-size: 11pt !important;padding-bottom: 0.5em !important;padding-top: 0.5em !important}.my_style p{ font-family: Arial !important;font-size: 11pt !important;padding-bottom: 0.5em !important;padding-top: 0.5em !important}/* This is internal styling */.my_style ul{margin-left:3em ;font-family: Arial !important;font-size: 11pt !important;padding-bottom: 0.5em !important;padding-top: 0.5em !important}.my_style ol{margin-left:3em ;padding-bottom: 0.5em !important;padding-top: 0.5em !important;font-family: Arial !important;font-size: 11pt !important}.my_style ol li {font-family: Arial !important;font-size: 11pt !important;padding-bottom: 0.5em !important;padding-top: 0.5em !important}EY- Assurance – Staff –Data Analytics
As part of our EY-Assurance Team, plays an integral role in contributing individually and adding value to the complex reporting tasks that help various internal and/or external constituencies develop deeper understanding of their respective markets, functional practices, and other internal clients.
The opportunity
We’re looking for an incumbent who will be responsible for the review of deliverables and ensuring that quality and productivity targets are met.
Your key responsibilities
Data Transformation: Use Alteryx and ETL techniques to extract data from various sources, transform it into a structured format, and load it into databases or data warehouses. Data Analysis: Perform in-depth data analysis to identify trends, patterns, and anomalies, and present findings in a clear and concise manner. SQL Queries: Write and optimize SQL queries to retrieve, manipulate, and analyse data from relational databases. Data Cleansing: Cleanse and pre-process data to ensure accuracy, consistency, and completeness. Data Visualization: Create visually appealing and insightful dashboards and reports using Power BI, presenting data in a meaningful way to stakeholders. Data Quality Assurance: Conduct data quality checks to ensure the accuracy and integrity of data and resolve any discrepancies or issues that may arise. Collaborate with Teams: Work closely with cross-functional teams to understand data requirements, provide data-driven insights, and support decision-making processes. Continuous Improvement: Stay up to date with industry trends, best practices, and new technologies to enhance data analysis capabilities.EY- Assurance – Staff –Data Analytics
As part of our EY-Assurance Team, plays an integral role in contributing individually and adding value to the complex reporting tasks that help various internal and/or external constituencies develop deeper understanding of their respective markets, functional practices, and other internal clients.
The opportunity
We’re looking for an incumbent who will be responsible for the review of deliverables and ensuring that quality and productivity targets are met.
Your key responsibilities
Data Transformation: Use Alteryx and ETL techniques to extract data from various sources, transform it into a structured format, and load it into databases or data warehouses. Data Analysis: Perform in-depth data analysis to identify trends, patterns, and anomalies, and present findings in a clear and concise manner. SQL Queries: Write and optimize SQL queries to retrieve, manipulate, and analyse data from relational databases. Data Cleansing: Cleanse and pre-process data to ensure accuracy, consistency, and completeness. Data Visualization: Create visually appealing and insightful dashboards and reports using Power BI, presenting data in a meaningful way to stakeholders. Data Quality Assurance: Conduct data quality checks to ensure the accuracy and integrity of data and resolve any discrepancies or issues that may arise. Collaborate with Teams: Work closely with cross-functional teams to understand data requirements, provide data-driven insights, and support decision-making processes. Continuous Improvement: Stay up to date with industry trends, best practices, and new technologies to enhance data analysis capabilities.EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.