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You also have a good understanding with statistical and computer software, or other analytical tools such as SAS, R, SQL, Python, Microsoft Word/Excel/Power Point, knowledge in UNIX or PC environment for modeling.
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Possess extensive knowledge of critical data analysis and reporting tools, including SQL, statistical analysis packages (such as SPSS, SAS, R) data visualization tools (such as Microsoft Power BI or Tableau) and other appropriate alternative software to the extent required to effectively perform the essential functions of the position.
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Proven capability with MS Excel and analytical software/relational database program(s) (e.g., SAS, Stata, MS SQL Server, R, MS Access, SPSS). Microeconomics, Antitrust & Competition, Econometrics, Structural Econometrics, Bootstrapping, Modeling, Regression Analysis, Mergers & Acquisitions, Data Analytics; Project Management.
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Strong Programming skills e.g. R, Python, SAS, SQL or other languages. Python and PySpark serve as our primary programming languages, in addition to SQL for extracting data from Hadoop and other databases.
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Exploratory data analysis, model building, and regression analysis using languages such as Stata, R, Python, or SAS. As a PhD Economist with a keen interest in addressing real-world applied economics questions, including in the areas of Antitrust and competition, you get to work with some of the biggest and brightest experts in industry.
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Writes programs and scripts that convert customer requirements into data extracts, making use of Epic Clarity, Epic Cogito data warehouse, Crystal Reports, SQL, and/or SAS statistical software.
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Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL. #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server.
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Computational skills using Python, R or SAS and SQL, especially relevant statistical tools and packages. Advanced degree (Masters with 4+ years of experience or PhD) or Bachelor’s degree with 6+ years of experience in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related fields.
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We are language agnostic, but primarily use Python, R, SAS, SQL and Mathematica. We are language agnostic, but primarily use Python, R, SAS, SQL and Mathematica. Enova is a leading provider of online financial services that leverages its advanced technology and analytics to provide access to credit for non-prime consumers and small businesses.
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Knowledge of QRM, SAS, SQL, or other financial modeling platformsProficient in Microsoft Excel and Access. Familiarity with Interest Rate Risk Management, Liquidity Risk Management, and Funds Transfer Pricing.
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Writes analytic and statistical programs, routines and stored processes to transform extracts into tables and figures, or other data summaries, visualizations and dashboards using SAS or equivalent statistical software and Microsoft tools (SSRS, Power Pivot, Power Query, Power BI.
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Skill :- Data Modeling, ETL Solution, Data Mart, Data Lakes, DWH, Data Analytics Knowledege of programming language (e.g., SQL, Python & Apache Spark, SAS & R), Database (e.g., Oracle, Postgres, Hive, and HBase), ETL/Orchestration tools (e.g., Informatica, Autosys, and Airflow, etc.
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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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Understanding of programming languages such as SQL, R, Python, VBA, SAS, C. Prepare property insurance policy data for catastrophe risk analysis using SQL and other data conversion tools, and run catastrophe modeling software for client and prospect portfolio analyses.
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Experience with R, SAS, SQL, VBA or other programming languages is preferred. ACAS or FCAS actuarial credential. Client portfolio will likely include large corporations, captive insurance companies, state regulators, and P&C insurance companies.
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