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Strong working knowledge of databases, data modeling and modern cloud-based data architecturesStrong working knowledge of data and analytic tools and programing languages including but not limited to SQL, Python, Map Reduce, SAS, R, SageMaker, S3, Git etc.
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And use of tools/languages such as Alteryx, Tableau, R (or R-Studio), Python, SQL, and Business Objects. Experience with SQL, Python, or R is required. POSITION QUALIFICATIONS:Education Required: Bachelor’s degree in Business, Analytics, Statistics, or similar field is requiredMaster’s degree in Business, Analytics, Statistics, or similar field is preferredYears of Job-Related Experience Required: 7 – 10 years of experience in Data ScienceTechnical/Other Skills Required: Advanced knowledge of various business intelligence tools including - Microsoft Excel, Alteryx, SQL, Tableau, matplotlib, ggplot.
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Proven experience with programming languages (SQL, SAS, R, Python, Alteryx), relational database (Oracle/Teradata) and visualization tool (Tableau) skills to create/manage/analyze large data sets.
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Relevant expertise in using analytical tools such as R/Python, Alteryx, Dataiku etc. Strong quantitative and analytical skills, including sound knowledge of statistical concepts and predictive modeling/machine learning.
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Predictive modeling using Real World Data. Campaign effectiveness, promotion response modeling, marketing mix optimization. Prior experience in analytics for specialty medicine/biologics/rare disease and Oncology is a significant asset.
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Experience overseeing teams that use a range of data tools/languages to conduct/automate analysis and derive insights (e.g., Alteryx, SQL, QGIS, Python, R, Tableau, Qlik, etc.) Machine learning, predictive modeling, and geospatial analytics.
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Experience with predictive modeling in SAS, Python, R or other. + Experience in SQL, Alteryx or other data management and business intelligence tools. Experience with predictive modeling in SAS, Python, R or other.
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Experience with any combination of the following: Excel, SQL, Python, R, and/or Alteryx. Continue to refine modeling of customer scoring and predictive analytics. Experience with any combination of the following: Excel, SQL, Python, R, and/or Alteryx.
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Proficient at programming languages including SQL, Python, R, VBS, SAS, and JavaScript. Proficient with Alteryx, Dataiku, Tableau, Power BI, MS Azure, Databricks, and Power Automate; SME level for RPA development (Automation Anywhere.
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Experience with and application of one of the following: - Data visualization: tools such as Tableau, Datorama, Alteryx - Advanced analytics software packages: SQL, R, Python or other - Concepts of database design and SQL Desired Experience.
$85,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Familiarity with Machine Learning and modeling techniques using Python, R, and/or Scala. Certifications related to Analytics (e.g., Power BI, Alteryx, Tableau) preferred; Power BI Data Analyst Certification will be required within 90 days if not already achieved.
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Experience with tools such as Python, R, SAS, SQL, Tableau, or Alteryx. Proficiency in marketing analytics (e.g., customer profiling, predictive modeling, statistical segmentation.
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ACAS or FCAS with 6+ years in the industry (10+ years at the SVP level) Bachelor's degree in Actuarial Science, Economics, Math, Statistics, or related field Pricing, valuation and/or capital modeling experience Visualization skills - Power BI, Tableau or similar Coding experience in programming languages (i.e. Alteryx, R, Python, VBA , SQL.
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Some experience with Python/R or other statistical programming language. Work closely with other data teams to improve sales capabilities around data modeling, testing platforms, data visualization, and data architecture.
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Proficient with data manipulation, analytics, modeling, and visualization tools (e.g., SQL, Alteryx, MS Office, Power BI, Tableau, R, Python) Experience with catastrophe modeling and/or predictive analytics considered a plus.
$106,837 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago
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