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BASIC REQUIREMENT: A Certificate as a Certified Public Accountant (CPA) or a bachelor's or higher degree in accounting that included at least 30 semester hours in accounting or 24 semester hours in accounting and an additional 6 semester hours in related subjects such as business law, economics, statistical/quantitative methods, computerized accounting or financial systems, financial management, or finance.
InternExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with economics and standard statistical techniques and research methods as applied to community/development planning at the municipal and regional level. Knowledge of trends and developments in community/development planning and urban design.
ExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Strong working knowledge of Excel and VBA; Python knowledge desirable and other statistical programming a plus. Degree in Mathematics, Statistics, Engineering, Economics or relevant subject.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Strong knowledge of data analysis, data visualization, and statistical concepts. What you need to succeedTo qualify for the position, you must have:Graduation from a recognized college or university with a specialization in Statistics, Economics, Business Administration, Mathematics, another specialty relevant to the duties of the position, or relevant working experience.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Ability design short term (intraday) & medium-term price pattern recognition systems based on statistical methods able capturing momentum trades. Ph. D. or Master's degree in Mathematics/Statistics/Economics/Business from a reputed institution.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Proficiency with statistical tools (i.e., STATA, Visual Basic, or SAS) and applying them to complex dispute matters. Perform economic consulting services as it relates to labor economics (wage & hour disputes), and commercial litigation matters supporting expert witness opinions in different court venues.
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Education Bachelor's degree in STEM field, business, finance, or economics preferred. Qualifications Experience 4+ years of proven experience in Retail Energy Load Forecasting, or a related field with a strong background in statistical analysis, data modeling, forecasting methodologies, regression analysis, and other analytical techniques.
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Analyzes large datasets using algorithms and statistical programming in Python, R, Stata, or similar statistical software. Masters degree in Statistics, Economics, Computer Science, or Finance, Ph. D. preferred.
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Experience with analytical / statistical programming tools for data extraction and summarization, statistics, visualization and analysis (Alteryx, SAS, SQL, R, Tableau, etc. Deeper experience than Consulting Research Analyst Associate in analytical / statistical programming tools and in the ability to extract, summarize, and visualize data for requests.
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Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.) BS in Mathematics, Economics, Computer Science, Information Management, Finance, Business Administration or Statistics.
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O strong experience with SAS, R, Python or other statistical software tools. o bachelors degree in mathematics, statistics, economics, physics, engineering, actuarial science, or some other quantitative field of study.
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Strong study design and statistical analysis skills with proficiency in one are more statistical applications (SAS/R/Python) is required. PhD preferred, minimum MS in Statistics/Biostatistics, Health Economics, Epidemiology required.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Strong analytical skills with proficiency in statistical analysis, data modeling, and visualization tools (e.g., Python, SQL, Tableau). Bachelor's degree in Healthcare Administration, Business Administration, Economics, Statistics, Data Science, or related field.
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A Masters degree in a quantitative field, preferably in applied economics, econometrics, statistics or financial engineering, PhD with similar background is preferred. 5+ years of working experience and must have 3+ years of hands-on experience in quantitative models, research, with deep understanding on VaR and backtesting as well as statistical applications.
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Keywords: SAS, SQL, Python, Pricing, Statistical Modeling, Pricing Models, Machine Learning, Insights, Pricing Strategy, Analytics. Bachelor’s or Master’s degree in Statistics, Marketing Analytics, Economics, or Data Science.
$140,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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