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This position requires a Bachelor's degree in Statistics, Mathematics, Engineering, Management Information Systems, or related field plus 7 years of experience in Marketing Analytics, Data Science, or a related role.
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As an Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Demonstrating exposure to modeling methodologies in at least one of the following areas: credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics areas; and.
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Advanced coding capabilities using SQL or SAS or R or Alteryx. Marketing Data Science including Performance measurement, Media mixed Modeling, and Multi-touch attribution. Advanced coding capabilities using SQL or SAS or R or Alteryx.
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Software Knowledge: Must be highly proficient in Microsoft Office, especially Excel, GIS mapping, ESRI, Alteryx. Provide Real Estate team support with market research, financial modeling and analysis, post-audit analysis of actual versus planned performance of new stores.
Starting at $100,000 a yearFull-timeExpandUpdated 5 days ago - UpvoteDownvoteShare Job
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1+ years of experience as a researcher, analyst, data scientist or solution developer with one or more of the following analytics tools: R, SQL, Tableau, Alteryx, MINITAB, CPLEX, Python, Any Logic, Qlikview, QlikSense, Google Cloud Platform, Hadoop, or SAP OR equivalent college course experience.
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Related SkillsBusiness Acumen, Data Preprocessing, Data Science, Innovation, Machine Learning, Market/Industry Dynamics, Predictive Modeling, Programming, Statistics. Experience with Alteryx, Snowflake, Tableau, Adobe Marketing Cloud, Google Analytics, and Salesforce.
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RequirementsBachelor’s Degree in School of Business, Information Technology, Data Analytics, Computer Science, Engineering, Statistics, or related technical or functional disciplineMinimum of 5 years’ experience leading data science or machine learning projectsExperience in advanced analytics solutions (data science, machine learning, data modeling, etc.
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Business Acumen, Data Preprocessing, Data Science, Innovation, Machine Learning, Market/Industry Dynamics, Predictive Modeling, Programming, Statistics. Predictive Modeling and Forecasting: Develop and implement predictive models to forecast customer behavior, identify potential leads, and optimize marketing campaigns.
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Post-graduate qualification in Finance, Accounting, Statistics or other quantitative field (e.g. MBA, CPA/CA, CIMA, ACCA) Business intelligence tools, and data science experience is as well as SQL and Alteryx skills are a plus.
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Master of Science Degree in a business-related or quantitative field (Economics, Math, Statistics, or equivalent) preferred. Bachelor's Degree in a business-related or quantitative field (Economics, Math, Statistics, or equivalent) preferred.
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Minimum of 5 years' experience working with Alteryx, PowerBI, Tableau or equivalent tools for data preparation, blending and automation. Bachelor's degree in computer science, information technology, math, statistics, or related field.
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In-depth knowledge of data governance, data quality, and data integration. Minimum of 5 years' experience working with Salesforce, Sales Page, Sales Connect, Broadridge. Nuveen has an opportunity for a Sr. Business Data Analyst & Architect (Sales & Marketing Data) - Senior VP. This role will report to the Head of Data Product Architecture and Strategy in the newly formed Nuveen Chief Data Office team.
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For Applicants of Nuveen residing in Europe and APAC, please click here (. For Applicants of TIAA, Nuveen and Affiliates residing in California, please click here (. For Applicants of TIAA, Nuveen and Affiliates residing in US (other than California), click here.
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Develop advanced capabilities that combine marketing attribution and MMM for holistic ROI measurement. Proven experience in a leadership role within B2B marketing data science or analytics. We offer a wide range of financial solutions, including investing, banking, advice and education, and retirement services.
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