JOB REQUIREMENTS AND QUALIFICATIONS
â€¢ Bachelor's degree (B. A.) from four-year college or university, with a focus in analytics, data science, business or psychology; or equivalent combination of education and experience. Experience:
â€¢ Minimum 7 years related experience in large, multi-national environment, high tech or PEO experience required.
â€¢ Regular exposure to complex, cross functional projects in either a project or program management capacity.
â€¢ Experience in building machine learning models with Python and other languages
â€¢ Experience with unstructured data analysis, including text analytics.
â€¢ Experience with and understanding of data and analysis tools, including Tableau and SAS.
â€¢ Experience with and understanding of various statistical methods including R Other Knowledge, Skills and Abilities:
â€¢ Proficient in Microsoft Office Suite, particularly Excel and PowerPoint.
â€¢ Excellent analytical skills, including strong business acumen.
â€¢ Ability to communicate, build trust, and influence employees at all levels of the organization.
â€¢ Ability to adapt to a fast paced, continually changing business and work environment while managing multiple priorities.
â€¢ A demonstrated commitment to high professional ethical standards and a diverse workplace. WORK ENVIRONMENT/OTHER INFORMATION (Travel required, physical requirements, on-call schedules, etc.)
â€¢ Minimal travel required.
â€¢ Work in clean, pleasant, and comfortable office setting / WFH
â€¢ The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse â€œbig dataâ€� sources to generate actionable insights and solutions for client services and product enhancement.
Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
Acknowledged authority within the Corporation. Acts as a leader of large-scale company initiatives. Viewed by peers as a leader and top contributor and by line management as a key business partner. 10 plus years experience. BA/BS degree preferred.
Innovation starts with inclusion at Oracle. We are committed to creating a workplace where all kinds of people can be themselves and do their best work. Itâ€™s when everyoneâ€™s voice is heard and valued, that we are inspired to go beyond whatâ€™s been done before. Thatâ€™s why we need people with diverse backgrounds, beliefs, and abilities to help us create the future, and are proud to be an affirmative-action equal opportunity employer.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status, age, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.