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Ernst & Young

Global professional services: audit, tax, consulting

Tax Technology and Transformation Data Engineering Analyst

Data EngineeringConfirmed live in the last 24 hours
Full-time$78k - $94k

About the Job

Requirements

  • A predicted undergraduate or graduate degree in Data Science, Computer Science, Information Systems, Business Analytics, Data Engineering, Management Information Systems, Accounting Information Systems, or a related field, supported by a strong academic record.
  • A cumulative college or university GPA of 3.0.
  • Working knowledge of SQL and data analysis concepts.
  • Knowledge of data extraction, transformation, and loading (ETL).
  • Knowledge of database querying and data manipulation.
  • Experience with Microsoft Excel and data visualization tools.
  • Familiarity with at least one programming language such as Python, R, or SQL.
  • Interest in cloud data platforms and enterprise technology solutions.
  • Interest in working in a team-led and leader-enabled hybrid model, with most external client-serving staff expected to work together in person 40–60% of the time over an engagement, project, or year.
  • Reliable transportation to and from the EY office and client sites; a driver's license is strongly recommended because ride-share and public transportation may not be available in all locations.
  • Ability and willingness to travel and work beyond standard hours when necessary; travel beyond the assigned work location may be required based on client and project needs.
  • Residence within a commutable distance of the associated office location.

Responsibilities

  • Document business requirements, data definitions, process flows, and technical specifications.
  • Support data collection, cleansing, validation, and transformation across multiple tax and finance data sources.
  • Work with structured and unstructured datasets to identify trends, data quality issues, risks, and opportunities.
  • Help design and implement data pipelines and automation solutions that improve operational efficiency.
  • Assist with data migration and integration involving ERP, finance, and tax systems.
  • Perform data profiling, reconciliation, and quality analysis to ensure completeness and accuracy.
  • Support AI and advanced analytics initiatives, including machine learning and generative AI use cases.
  • Assist in developing dashboards, reports, and visualizations using business intelligence tools to support decision-making.
  • Collaborate with tax professionals, data engineers, solution architects, and business stakeholders.
  • Research emerging technologies and industry trends related to data and analytics, Microsoft Fabric, Azure Data Platform, Snowflake, Databricks, and AI.
  • Prepare client-ready deliverables, presentations, and project documentation.
  • Take ownership of assigned workstreams and ensure timely completion of deliverables.

Desired Qualifications

  • A cumulative college or university GPA of 3.2 or above.
  • Experience using Python for data analysis or automation.
  • Familiarity with Power BI, Tableau, or similar visualization tools.
  • Exposure to cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
  • Knowledge of Microsoft Fabric, Azure Data Factory, Databricks, Snowflake, Synapse, or related technologies.
  • Understanding of AI, machine learning, or generative AI concepts.
  • Experience on academic, internship, or research projects involving large datasets.
  • Knowledge of leveraging firm-approved AI tools in a business setting, including Microsoft Copilot.

About the Company

Ernst & Young

Global professional services: audit, tax, consulting

EY provides professional services across Assurance, Tax, Consulting, and Strategy & Transactions through member firms coordinated by EY Global. It serves clients in about 150 countries with cross-disciplinary teams delivering audits, tax planning, technology, risk management, and M&A and strategy advisory. Its global, integrated platform and large network differentiate it by offering coordinated services across disciplines. The goal is to help clients meet regulatory requirements, improve governance and performance, and create value.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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