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Typically, Minimum 4 Years Relevant Exp Demonstrated experience with sophisticated analytics tools and programming languages (e.g., SAS, SPSS, R, Python, SQL, HiveQL, Spark, Hadoop) Proficiency with visualization platforms such as Tableau, Qlikview, PowerBI, D3, or JavaScript.
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Proficiency in an analytics programming language, such as R, Python, or SAS. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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Strong technical programming skills; SQL, R, SAS, Python, Snowflake, Tableau/Looker, Strong technical programming skills; SQL, R, SAS, Python, Snowflake, Tableau/Looker, Demonstrated data visualization experience; Tableau/Looker, Power BI.
RemoteExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience with relational databases and statistical analysis/programming languages such as SAS, SQL, R or Python. Expertise with site analytics and social platforms including Adobe Analytics, Google Analytics, Facebook/Instagram, TikTok, and X.
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BI Reports Developer (Lead) with skills Power BI, SAS BI, Business Objects, Microsoft SSRS, QlikView, Tableau, BI & Visualization Development for location Middle East. BI Reports Developer (Senior) | 8-11 Years | Power BI, SAS BI - Business Objects, Microsoft SSRS, QlikView, Tableau, BI & Visualization Development.
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You will be joining a team of analytics and data science professionals within the Enterprise Data & Analytics COE. Team members are skilled data scientists highly fluent in a mixture of R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target to perform modeling, visualization, and advanced analytics.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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The role requires expertise in programming (SAS, R, Python, SQL, or STATA) and quantitative analysis. 3+ years of experience in programming (SAS, R, Python, SQL, or STATA.
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Use of statistical and programming software (e.g. SAS, R, JMP, Python, SIMCA) to apply a broad range of data science and statistical applications, such as linear regression, DoE, multivariate analysis.
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Strong experience in data research using SQL/SAS/R/Python for data analysis. Write SAS/SQL/VBA/Python code to extract data to perform data analysis and research for data integrity.
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Proficiency in analytical software and tools including Python, SAS, R, SQL and other applications, such as Microsoft Excel/VBA and Access; Demonstrating proficiency in analytical software and tools including Python, SAS, R, SQL and other applications, such as Microsoft Excel/VBA and Access.
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One Medical is seeking our Head Actuary to join its Actuarial & Strategic Finance Team. This. Must have 3+ years of experience in Medicare/Medicare Advantage along with value based care. The Actuarial & Strategic Finance team has exposure to all facets of the business and plays a critical role in shaping the future and strategy of the company through forecasting and analysis of key business drivers.
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Intermediate knowledge of SAS, R, SQL, and/or Python, Snowflake is highly desired. Familiarity with market risk, credit risk (underwriting, CECL loss reserving, portfolio management), operational risk measurement, and stress testing methodologies / quantitative analytics.
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Intermediate knowledge in the following systems/applications (preferred): SAS Enterprise Guide – Data Manipulation and transformation, data aggregation using the GUI tool basic SAS programming; Bloomberg Terminal; Syntellis Axiom EPM; R/Python Programming; Bloomberg Terminal; Syntellis Axiom EPM.
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Sr Data Scientist (Machine Learning, Natural Language Processing, Java, Python, R, SAS, Github) in Philadelphia, PA. Data Scientist, Machine Learning, Natural Language Processing, Java, Python, R, SAS, Github.
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Be fluent working with large, complex medical claims data using analytics technologies (SQL, SAS, Python/Pyspark, Databricks, Microsoft Azure, PowerBI) and analytics methodologies (exploratory/descriptive analysis, predictive modeling, causal outcomes research, and data visualization.
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