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The University of Texas System
Assistant Director of Business Intelligence
The University of Texas System Austin, TX, USA
FLSA Status: Exempt Earliest Start Date: 02/01/2021 Salary: Salary commensurate with experience Hours per Week: 40.00 Standard from 8:00 AM to 5:00 PM Hiring Department: Office of Institutional Research and Analysis Required Application Materials: A resume and letter of interest is required in order to apply. Purpose of Position Manage business intelligence, data warehousing, and contractor staff responsible for providing management information and analysis to support strategic initiatives and institutional efforts of the University of Texas System.  Work closely with institutional researchers to turn raw data into useful information via dashboards, web reporting, and other information delivery methods for the Office of Institutional Research (OIRA). Essential Functions Manage/supervise business intelligence, data warehousing and contractor staff; develop and make project plans for new technical projects, coordinate projects and...
Jan 15, 2021
Full-time
FLSA Status: Exempt Earliest Start Date: 02/01/2021 Salary: Salary commensurate with experience Hours per Week: 40.00 Standard from 8:00 AM to 5:00 PM Hiring Department: Office of Institutional Research and Analysis Required Application Materials: A resume and letter of interest is required in order to apply. Purpose of Position Manage business intelligence, data warehousing, and contractor staff responsible for providing management information and analysis to support strategic initiatives and institutional efforts of the University of Texas System.  Work closely with institutional researchers to turn raw data into useful information via dashboards, web reporting, and other information delivery methods for the Office of Institutional Research (OIRA). Essential Functions Manage/supervise business intelligence, data warehousing and contractor staff; develop and make project plans for new technical projects, coordinate projects and...
Competitive Balance Analytics
Quantitative Modeler - US Sporting Events
Competitive Balance Analytics Remote
Position: Quantitative Modeler - US Sporting Events Location: Remote (US) Looking for a talented and highly motivated Quantitative Modeler for a unique and exciting opportunity to work with a small team to accurately predict the outcomes of future US sporting events. Candidate must have a strong understanding the wagering markets involving these events.  Candidate should have hands-on experience with statistical modeling.  Ideal candidates will also have experience in traditional data science (analyzing data) and more modern data science (AI, deep learning). Candidates must be capable of working in a remote environment. Required Qualifications:  Python (scripting, numpy, scipy, matplotlib, scikit-learn, jupyter notebooks) Experience with machine learning algorithms, such as neural networks/deep learning, SVM, XGBoost, Random Forest, generalized linear models, etc. Understanding of Sports Wagering Markets Experience with Amazon Web...
Dec 03, 2020
Full-time
Position: Quantitative Modeler - US Sporting Events Location: Remote (US) Looking for a talented and highly motivated Quantitative Modeler for a unique and exciting opportunity to work with a small team to accurately predict the outcomes of future US sporting events. Candidate must have a strong understanding the wagering markets involving these events.  Candidate should have hands-on experience with statistical modeling.  Ideal candidates will also have experience in traditional data science (analyzing data) and more modern data science (AI, deep learning). Candidates must be capable of working in a remote environment. Required Qualifications:  Python (scripting, numpy, scipy, matplotlib, scikit-learn, jupyter notebooks) Experience with machine learning algorithms, such as neural networks/deep learning, SVM, XGBoost, Random Forest, generalized linear models, etc. Understanding of Sports Wagering Markets Experience with Amazon Web...
Gilead Sciences
Senior Manager / Associate Director - Data Strategy & Governance
Gilead Sciences Foster City, CA, USA
This position is responsible for maintaining data sanctity by taking ownership of data management process across multiple systems and providing the business acumen to monitor data quality, maintaining business rules and providing cross-functional support on data management related projects. This role will be a trusted advisor to the commercial organization on everything data management. This role would also entail being the business owner of Cloud strategy and execution for the commercial operations group. Core job responsibilities include: Own data management work streams from end to end which includes fidelity in operations of data warehouse as well as governance process around it. Identify, prioritize and execute tools and capabilities needed for downstream users which includes analytics teams and other sales operations teams Lead cloud strategy from commercial operations team representing all commercial analytics teams Influence the design of the analytics...
May 04, 2020
Full-time
This position is responsible for maintaining data sanctity by taking ownership of data management process across multiple systems and providing the business acumen to monitor data quality, maintaining business rules and providing cross-functional support on data management related projects. This role will be a trusted advisor to the commercial organization on everything data management. This role would also entail being the business owner of Cloud strategy and execution for the commercial operations group. Core job responsibilities include: Own data management work streams from end to end which includes fidelity in operations of data warehouse as well as governance process around it. Identify, prioritize and execute tools and capabilities needed for downstream users which includes analytics teams and other sales operations teams Lead cloud strategy from commercial operations team representing all commercial analytics teams Influence the design of the analytics...
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