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3+ years media agency experience and knowledge of media workflows, such as planning, buying, trafficking or billing and the data generated through these workflows and their systems; or alternatively, experience in media agenda data performing analytics, measurements, MMM, or business intelligence visualizations.
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Headquartered in Oxford, England, with regional centres in London, New York, and Singapore, Oxford Economics has offices across the globe in Belfast, Boston, Cape Town, Chicago, Dubai, Frankfurt, Hong Kong, Houston, Johannesburg, Los Angeles, Melbourne, Mexico City, Milan, Paris, Philadelphia, Sydney, Tokyo, and Toronto.
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We help clients succeed by applying our core strengths in business applications of Data Engineering, Analytics, Modeling, and Business Architecture to gain insight into finances, loans, performance, manage risk, and improve operations.
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Demonstrated progressive experience in software sales, preferably with databases, analytics and/or open source experience. With Imply, developers can build without constraints as our database lets them create interactive data experiences on streaming and batch data with limitless scale and at the best economics.
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Degree majoring in Accounting, Economics, Actuarial Science or related discipline preferred. Serve as a subject matter expert on teams (or lead teams) that require financial and/or data analytics with regard to Ameren's benefit plans, including benefit design changes and vendor analysis in RFP.
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PhD or Master's candidates with a concentration in a quantitative field such as Math, Statistics, Data Science, Economics, Computer Science, Operations Research, Analytics, Engineering, or Physics.
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8 years of data and/or analytics or strategy consulting experience; OR a minimum of 6 years of data and/or analytics or strategy consulting experience and up to 2 years of progressive functional business relevant experience for a total of 8 years of combined experience; OR Advanced Degree in Business, Science, Finance, Economics or related discipline and 6 years of experience in data and/or analytics or strategy consulting.
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Must be enrolled in an accredited college or university and pursuing the following degrees/majors; Bachelors and/or Masters degree in business, accounting, finance, taxation, mathematics, economics, information technology, data and analytics, engineering (financial, industrial or systems) or related fields.
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6+ years of Industry Experience in Ads Measurement, Marketing Strategy & Analytics, Ad-Tech, Mar-Tech or related fields. Master's Degree in Statistics, Operations research, Economics, Data Science, Computer Science or related field.
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Experience in Big Data, preferably BigQuery, and Data Analytics. Bachelor’s degree in applied math, statistics, engineering, accounting, finance, economics, business, computer sciences or related area of study, or equivalent combination of education and/or relevant work experience; HS diploma or GED is required.
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Bachelor’s degree required (e.g., Law, Finance, Economics, Business Administration, International Affairs, or Management) Pixalate offers the market-leading fraud protection, privacy, and compliance analytics platform for Connected TV (CTV), Mobile Apps, and Websites.
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Performing business and data analytics related to public health insurance programs, such as Medicaid, Essential Plan, Child Health Plus, pharmacy and fee-for-service policy, COVID, and behavioral/substance abuse services, including regular and ad-hoc reporting, under the direction of the Medicaid Operations Unit lead.
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Proficient in R, SQL and advanced Data Analytics Tools Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets.
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Accounting, Finance, Mathematics, Computer and Information Science, Industrial Engineering, Economics, Statistics, International Business, Business Administration/Management, Business Analytics.
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Bachelor’s degree in Statistics, Marketing Analytics, Economics, Data Science. Develop and deploy pricing analytics in a transformational global businessenvironment using modern statistical methods and machine learning.
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