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8+ Experience programming using data analysis, data modeling, programming, and visualization tools such as Python, SQL, Power BI, Alteryx, and Tableau. 10+ Experience programming using data analysis, data modeling, programming, and visualization tools such as Python, SQL, Power BI, Alteryx, and Tableau.
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Experience building and maintaining with Anaplan, Databricks, ETL Tools, and working with programming languages (Python, R, SQL) Work across teams to support the technology stack of GCO DTI Coverage, Contracting and Pricing products on standard City Plan platforms (Anaplan, AWS Redshift, Alteryx, Tableau, Model N, SAP, Salesforce, GDNA.
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Senior Manager-level candidates must have project management experience in cross-functional engagements including accounting/finance, FP&A, modeling, and/or tech implementation. ETL Automation: Alteryx.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Ability to support the development of analysts for Intermediate/Advanced data visualization, automation, and programming skills (e.g., SAS, SQL, R, Python, Alteryx) Experience working with IT partners or automation strategies to deploy production-level analytic solutions.
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To turn data into insights;Using ETL (Extract, Transform and Load), and having experience with Alteryx, Power Query and / or other agile technologies preferred; and,Possessing knowledge of and having exposure to basic programming: Python, SQL, or other languages.
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Analytic Capabilities: Ability to think logically and use quantitative techniques to support solving problems such as campaign analysis, optimization, customer segmentation, data management, data operations and/or predictive modeling.
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Experience with Python/R programming skills, knowledge of basic statistical modeling such as regression. Exposure to big data platforms – Snowflake, Redshift, Azure, Matillion, Alteryx, etc.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Business Acumen, Data Preprocessing, Data Science, Innovation, Machine Learning, Market/Industry Dynamics, Predictive Modeling, Programming, Statistics. Required Proficiency in utilizing low code/no code tools such as Alteryx, Power Bi and or Tableau.
$112,000 - $160,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Requires advanced expertise in stored procedure programming, data modeling, replication, performance monitoring and optimization, and database administration. Provide design leadership on projects to adopt new technologies such as Snowflake, Collibra DQ, Alteryx, Thoughtspot, etc.
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Learn to use R or Python, SQL, Tableau, and automation tools such as Alteryx. Working closely with a Data Scientist, the Quality Data Science Intern will provide support to the Quality teams efforts using advanced analytics and statistical modeling.
$18,720 - $26,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Prior experience must include two (2) years with the following: synthesizing and presenting key insights and recommendations to stakeholders, including senior leadership; using one or more mainstream programming language including Python, Java, C, Scala, Alteryx, or C.
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8+ years hands-on programming experience with SQL and relational databases like Oracle, Teradata or Snowflake. 10+ years hands-on programming experience with SQL and relational databases like Oracle, Teradata or Snowflake.
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Basic Python or similar programming experience and/or experience with analytic tools such as Alteryx. The Finance Decision Optimization team is responsible for the development, delivery, and automation of quantitative modeling solutions for the Finance organization.
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Direct our embedded analytics teams to address business questions and prepare analyses that help further modeling goals. The team is comprised of product and analytics professionals that partner across Chase's business, software development, and modeling teams to execute the implementation of statistical and ML/AI models in Finance.
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Develop requirements for our tech and modeling teams with input from the business; continuously refine these as we discover new details and work through issues. Communicate proactively with technical and business stakeholders; effectively explain modeling and statistics concepts to business users and business concepts to modelers and developers.
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