Bachelor's degree in Computer Science, Engineering, Management Information Systems or a related field and 5 years of progressive, post-baccalaureate related work experience. Alternatively, will accept a Master's degree in Computer Science, Engineering, Management Information Systems or a related field and 4 years of related work experience.
Must have 4 years of experience in the design, development, and validation of descriptive, predictive, prescriptive, and applied analytics.
Must have 4 years of experience working in a professional services firm, a consulting firm, or a mid-sized/regional to large-sized/national public accounting firm.
Must have 4 years of experience with RDBMs, large-scale data warehousing environments, business process reengineering and business modeling concepts, and business systems development and analysis.
Must have 4 years of experience with the front-to-back data lifecycle and data tools and technologies, including Erwin and Toad.
Must have 4 years of experience writing SQL or PL/SQL queries against SQL Server or Oracle databases. Will accept a combination of experience with SQL Server and Oracle databases.
Must have 4 years of experience collaborating with business intelligence and information security stakeholders.
Must have 4 years of experience designing and implementing ETL solutions for tools, including any combination of the following: Alteryx, SSIS, DataStage, Informatica, Talend, and/or Pentaho.
Must have 4 years of combined experience with one or more of the following data visualization tools: Power BI, Tableau, and/or D3.js.
Must have 1 year of experience managing junior data and data analytics professionals, including setting goals, assigning work, and reviewing performance.
Requires up to 10% travel to serve client needs.
Employer will accept any suitable combination of education, training, or experience.
TO APPLY: Please apply on-line at ey.com/en_us/careers, and click on “Find jobs” (Job Number – DAL007QA).
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, national origin, protected veteran status, disability status, or any other legally protected basis, in accordance with applicable law.