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Advanced expertise with software such as Python, R, SAS, SAS Enterprise Miner (or equivalent) Excellent coding skills in Python, SQL, and Bigdata technologies. Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
RemoteExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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R, SAS, SQL, or VBA experience a plus. Minimum of two actuarial exams passed, additional exam progress towards ACAS/FCAS is preferred. The candidate will have interaction and visibility with Oliver Wyman's clients, which include large self-insured corporations, captive insurance companies, state regulators, and P&C insurance companies.
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Prior experience in any of the following: SQL Server, MySQL, Google BigQuery) Experience in statistical analysis through the use of statistical packages including Excel, SPSS, and SAS. Strong SQL or Excel skills with the ability to learn other analytics tools.
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6 years An equivalent of 6 years experience with big data, database query and analysis languages (e.g. Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks) and data visualization tools (e.g. Power BI, Tableau) required.
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Advanced knowledge of data and analytics solution delivery using common tools such as Alteryx, ACL, IDEA, SQL, Python, SAS, Tableau, QlikView, and PowerBI. Hands on knowledge of building RPA solutions in tools such as UiPath, Blue Prism, Automation Anywhere or related tools.
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Knowledge of how campaigns are created by leveraging customer data from internal data warehouses through tools such as HCL Unica (Campaign / Interact), Python, SQL, and SAS. Knowledge of Python, SQL, SAS; knowledge of databases and big data infrastructures; knowledge of vendors and file format requirements.
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SQL, Tableau, Cognos, Qlik. Ability to use reporting software such as Actuate, Cognos, Crystal reports, SAS, or other. Requires strong expertise in MS Excel and relational database such as MS Access and other database management (MS SQL) and reporting tools.
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Advanced knowledge of SAS, SQL, R, Python, or other database programming languages. Conducts data research projects end-to-end by integrating, aggregating, or reassembling information from a variety of database sources and systems by writing database queries in SAS, SQL, R or other database query languages.
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Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau. Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau.
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Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks) Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.
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Proficient in project software: SAS/SQL, Databricks, Python, Spark languages/technologies Excel, Word, PowerPoint, Business Objects, and Outlook. Use SAS/SQL, Databricks, Python, Spark; other software as appropriate to task.
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Minimum 4 years of experience in data analytics cycle (data gathering, transformation, mining, modeling, analytics, and reporting) using data analytics tools like SAS, Alteryx, Tableau, PowerBI, SQL, R, Python and/or ACL.
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Fluency in SAS, STATA, SQL, Tableau, or other statistical programming software and MS Office. Minimum of two years of hands-on SAS, STATA, SQL or other statistical programming work experience or demonstrated equivalent combination of education and experience.
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Ability to employ SAS, Visual Basic, SQL, Visio and Publisher a plus. UCLA Health is a world-renowned health system with four award-winning hospitals and dozens of primary care practices, specialty practices, urgent care centers and other ancillary locations throughout metro Los Angeles as well as the David Geffen School of Medicine.
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Knowledge, Skills, and Abilities (KSAs): Data Integration; SAS Tools; SQL/SAS; Web Report Studio; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Project Management; Business Planning.
$90,300 - $116,820 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago
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