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Strong technology skills, including advanced Excel skills and considerable experience with data extraction, data visualization, and statistical analysis software such as Argos, Tableau, Power BI, SQL, SPSS, and/or SAS. Experience in programming in SQL and/or collaborating with programmers to develop scripts to meet various mandated and ad hoc reporting needs.
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Bachelor's Degree or equivalent Minimum 6 years of experience working in a data analysis role Minimum 5 years of experience with SAS or SQL, or other data management, reporting and query tools (Sharepoint, SAP, Business Objects, Tableau, Crystal reports/Dashboard, etc) Minimum 3-5 years of experience in banking/operations Skills and Knowledge Excellent interpersonal, verbal, and written communication skills.
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Working knowledge of Bloomberg, Excel VBA, SAS programming and SQL. Conduct comparative fundamental analysis using current industry, geographic or market data (e.g., liquidity, profitability, and credit history.
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Hands-on experience conducting data analysis and constructing models using SQL, Excel, R, Python, SAS, SPSS, Alteryx, or equivalent software. Jeld-Wen is seeking a Senior Pricing Analyst adept at consolidating disparate data, conducting root cause analysis, formulating hypotheses, and producing visual reporting for organizational insights.
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What sets you apart:Ability to perform data extraction and manipulation using tools such as SQL, Python, SAS, and/or Snowflake. Expert knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
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Key responsibilities include utilizing a variety of systems such as Excel, SAS, SQL, Tableau, and other relational data bases to provide analytical support on strategies, ensure goals are met, and propose policy and procedural changes within segmentation structures to produce optimal results.
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Knowledge of data analytic tools Knowledge of data analytic tools such as SQL, Tableau, Power BI, Looker, Excel, Oracle, Denodo, and Google Cloud Platform tools such as Big Query, Data Fusion, ML/AI, or similar.
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Requires experience with Excel and SQL. Requires knowledge of technical programming including SAS, R, or Matlab. Position requires a Master’s degree in Mathematics, Engineering, Quantitative Economics, or a related field of study plus two (2) years of experience in the job offered or two (2) years of experience as a Data Scientist, Statistical Model Builder, Risk Manager, Financial Analyst, Business Analyst, Data Analyst, or a related occupation.
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Data Analyst: Construct, design, write and document complex programs using Business Intelligence Tools (e.g. Business Objects, SAS, SQL, Crystal Reports) to gather statistical data, ensuring that the most efficient procedures are used to access, investigate, and analyze data.
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Proficient in SQL, R, Python, SAS, Dataiku or similar programming languages/analytical tools. The Data Analyst will be responsible for specialty pharmacy data operations.
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Some positions require proficiency in digital analytic tools including Google and/or Adobe Analytics and familiarity with digital data, in addition to or in lieu of SAS/SQL) Access and extract data from a variety of sources of all sizes (including client marketing databases) via SAS Access, SQL, etc.
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SQL proficiency in authoring and reviewing coding to access data from EPIC Clarity and/or Caboodle databases. Experience with analytical tools and BI systems (SQL, SAS, Tableau, Business Objects, Power BI etc.
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Understanding of relational database environments and distributed file systems as well as programming experience (i.e. SAS, SQL, Hadoop) The analyst will lead data-driven efforts to improve client experience and protect clients, as well as the bank, from fraudulent behavior.
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Advanced SQL and SAS programming abilities in data warehouse or big data analytics environment, including use of statistical analysis techniques or business intelligence application development.
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Supports the extraction of data using a variety of a programming languages, such as SQL, SAS, Python, or Spark/Scala, and applies knowledge of relational and non-relational database systems housed on both on-premise and off-premise (hybrid) platforms.
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data sas sql jobs Title: analyst
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