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    Data Analytics Specialist - Edmonton, AB, Canada - University of Alberta

    University of Alberta
    University of Alberta Edmonton, AB, Canada

    1 week ago

    University of Alberta background
    Description

    Description

    This position is a part of the Association of the Academic Staff of the University of Alberta (AASUA).

    In accordance with the , this position offers a comprehensive benefits package found on our and an annual salary range of $70,935 to $117,785. This position has an initial appointment of 2 years.

    This competition will be used to hire 2 positions.

    Location - This role is hybrid with a mix of remote and in-person work at Enterprise Square.

    Working at the University of Alberta

    The University of Alberta acknowledges that we are located on Treaty 6 territory, and respects the histories, languages and cultures of First Nations, Métis, Inuit and all First Peoples of Canada, whose presence continues to enrich our vibrant community.

    The University of Alberta is a community of knowledge seekers, change makers and world shapers who lead with purpose each and every day. We are home to more than 14,000 faculty and staff, over 40,000 students and 260,000 alumni worldwide.

    Your work will have a meaningful influence on a fascinating cross-section of people — from our students and community members, to our renowned researchers and innovators, making discoveries and generating solutions that make the world healthier, safer, stronger and more just. .

    Working for Performance, Analytics and Institutional Research

    Performance, Analytics and Institutional Research is a dynamic and team centric environment, where client service, transparency and clarity is paramount.

    Position

    Under the overall direction of the Manager, Institutional Research, the Data Analytics Specialist is a key member of the Institutional Research team. The position requires a high degree of independence, detail orientation, communication skills, and expertise in data analytics. This role involves performing complex data research and analysis to support business operations, including design and create statistical and machine learning models following industry best practices for the purpose of identifying trends in large data sets. The analysis is applied to various areas of the business, utilizing existing and emerging statistical and/or data science principles, theories, and techniques to inform decisions. This position leads research and analysis related to university, conducting research to provide evidence-based analyses and insights for senior executive officers, planning units, and external partners.

    Duties

    This position is responsible for performing complex data research and analysis to support business operations including:

    • Carries out the necessary analyses to develop accurate, comprehensive, and timely answers proactively to broad policy issues and as questions arise, and prepares effective presentations to relate the information.
    • Designs and conducts research on a broad variety of fields including, but not limited to, student progression and completion; student satisfaction and financial support; faculty and staff workloads; university revenues, expenditures, and economic impact; demographic analyses of student, faculty and staff populations; rankings.
    • Consults with internal units and external agencies to identify and extract critically important information with respect to key strategic needs of the University.
    • Generates and presents key analytical findings to an audience with varied backgrounds.
    • Participate in the data quality assurance function for the Institutional Data Warehouse.
    • Design and create statistical and machine learning models following industry best practices for the purpose of identifying trends in large data sets.
    • Fields and responds to ad-hoc requests
    Qualifications
    • A relevant degree in an analytical discipline, for example, Mathematical and/or Statistical Sciences, Library and Information Studies, Social Sciences, etc. equivalent combinations of education and experience will be considered.
    • Four to eight years of practical experience in client-focused research and analysis, with a proven track record of evaluating data validity and reliability across diverse sources.
    • Strong knowledge of data science and statistical principles.
    • Advanced skills in data extraction, manipulation and analysis.
    • Excellent problem-solving and analytical abilities.
    • Proficiency in using relevant, up-to-date computer programs or programming languages for data access and analysis, and to learn to use new ones as they evolve.
    • Proven ability to oversee projects.
    • Experience in designing and implementing data metrics, with exposure to different data development environments.
    • Strong time management skills, including accurate estimation of project timelines.
    • Exceptional written and oral communication skills for internal and external consultations and reports.
    • Strong ability of explaining technical/analytical solutions to a non-technical audience.
    • Superior ability to collaborate with colleagues to address data quality and selection challenges.
    At the University of Alberta, we are committed to creating an inclusive and accessible hiring process for all candidates. If you require accommodations to participate in the interview process, please let us know at the time of booking your interview and we will make every effort to accommodate your needs.

    We thank all applicants for their interest; however, only those individuals selected for an interview will be contacted.

    The University of Alberta is committed to an equitable, diverse, and inclusive workforce. We welcome applications from all qualified persons. We encourage women; First Nations, Métis and Inuit persons; members of visible minority groups; persons with disabilities; persons of any sexual orientation or gender identity and expression; and all those who may contribute to the further diversification of ideas and the University to apply.

    Note: This opportunity will be available until midnight May 2, 2024, Edmonton, Alberta local time. #J-18808-Ljbffr
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