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Analytics & Data Science Specialist (Hybrid)

Company: IIE Organization
Location: Washington
Posted on: May 28, 2023

Job Description:

Job Description:Reporting to the Director, Analytics & Data Science the Analytics & Data Science Specialist will provide subject matter expertise in delivering complex business intelligence (BI) solutions and support to internal and external stakeholders of the Institute of International Education (IIE), serve as a BI SME for the Business Systems Department and entire Technology organization, contribute to IIE analytics road map implementation, support development of advanced analytics and data science solutions, and promote use of analytics and data science across the organization.The Institute of International Education ("IIE") has a hybrid work environment that allows team members a combination of in-office work and telework at any of the locations listed above.Essential Functions:--- Implements and delivers complex business intelligence, including dashboards and analytics to internal and external stakeholders of IIE--- Performs validations and identifies data anomalies across business systems. Assists with ongoing data management process and governance efforts--- Supports IIE analytics roadmap implementation and identification of uses cases for advanced analytics and data science solutions at IIE--- Coordinates data preparation efforts for analytics projects with IIE's data engineering team and assists with Extract, Transform, and Load (ETL) activities--- Performs complex quantitative and qualitative analysis on IIE datasets and exploratory data analysis and visualizations--- Supports development of advanced analytics and data science platform at IIE--- Participates in development and implementation of advanced analytics solutions including machine learning (ML) models and decision support tools--- Supports BI and analytics solution life cycle from development to deployment & maintenance--- Manages analytics activities and projects ensuring timely delivery of high-quality work products--- Delivers BI and analytics trainings to internal users as neededEducation and Work Experience:--- Requires an Bachelor's degree and at least five years of related work experience, or combination education and experience.Knowledge, Skills and Abilities:--- Expert knowledge in modern cloud-based Business Intelligence tools such as Power BI, Tableau and Microsoft Azure data stack.--- Proven experience in Business Intelligence requirements gathering, solution design and application operations and maintenance activities as well as drawing BI insights through analysis of data.--- Knowledge and prior experience using SQL, Python, or R for performing data and statistical analyses and/or developing predictive models.--- Prior work experience planning, organizing, and managing work activities or projects including formal or informal management of deliverables of others.--- Excellent written and verbal communication skills. Ability to communicate complex technical information in non-technical terms to business users and management.--- Excellent organization and document creation skills with attention to detail.--- Ability to work occasional non-standard hours including weekends and evenings.--- Prior work experience with DevOps/MLOps processes and tools such as Azure DevOps or GitHub preferred.--- Background in data science and experience developing and/or implementing machine learning models and AI tools preferred.Salary Range:$71,394 - $94,947.09. A candidate's salary is determined by various factors including, but not limited to, relevant work experience, job-related knowledge, skills, abilities, internal organizational equity, and geographic region.IIE offers a robust suite of benefits to team members including medical, dental, and vision plans, paid time off and holidays, student loan and tuition reimbursement programs, professional development reimbursement program, retirement plans and a family medical leave benefits. Please visit our careers page for further details.

Keywords: IIE Organization, Washington DC , Analytics & Data Science Specialist (Hybrid), Other , Washington, DC

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