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The Senior (Lead) Quantitative Analyst I (II) position provides energy market fundamental analysis, and quantitative financial modeling support to Risk Management. Python or Alteryx.
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One of the following: CPA, Admission to the Bar, Enrolled Agent, Professional Certification in Project Management (PMP), Six Sigma Black Belt/Lean Black Belt/Master Black Belt, UX Certificate, Nielsen Norman Group, Agile Product Management, Alteryx Designer Advanced Certification, Masters – Engineering (U.S. Institution.
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Other business related fields may be considered (such as, Business Administration/Management, Economics, Finance, International Business, Management, Quantitative Finance). Microsoft Certified: Data Analyst Associate, Professional Engineer, UiPath Certified Advanced RPA Developer (UiARD.
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We’re leading the way as technology-enabled tax advisors who provide value through digitization, automation and increased efficiencies - all made possible by equipping our professionals to succeed in a world where transactions are faster, more complicated and require a deeper level of sophistication.
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Innovating through new and existing technologies, along with experimenting with digitization solutions; Utilizing digitization tools to reduce hours and optimize engagements. You’ll help our clients identify qualifying cash tax savings and refund opportunities as well as gauging the impact of deductions and credits on the effective tax rate.
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Analytic Capabilities: Ability to think logically and use quantitative techniques to solve problems such as campaign analysis, optimization, data management, data operations and/or predictive modeling.
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An interest in, and some exposure to, one or more of the following tools and techniques, SQL, Tableau, Alteryx, Data processing and basic statistical methods required. Master’s degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.
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3 years experience in SAS, Tableau, Power BI, Alteryx, SQL, RPA, Power BI or other data analysis tools. What you have:Bachelor's degree in quantitative analytics, Economics, Finance, Statistics, Mathematics, Operations Research, Data and/or Business Analysis, Data Science, or other quantitative discipline.
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Conceptual thinking skills must be complemented by a strong quantitative orientation, given that a large part of the business is based on rigorous analytic marketing & credit risk management. At least 1 year of SQL experience or other relational data manipulation or analysis experience such as Alteryx or advanced Excel with large data sets.
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Familiarity using audit or Governance Risk and Compliance (GRC) software such as Archer or other related tools. Executes data strategy and transformation in alignment with Audit business objectives. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Charlotte, NC or Tampa, FL. Relocation assistance is not available for this position.
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Strong knowledge of Microsoft Management studio, R, SQL, DevOps, Excel, Alteryx, Snowflake, Power Apps & Flow. Bachelor’s degree in a quantitative field, such as computer science, business, mathematics, economics, statistics, or engineering preferred.
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Experience with Alteryx, Cloudera, Tableau, and knowledge of X12 837, 277, 834, 820 EDI a plus. Use SAS/Alteryx to extract and transform data to create reports from multiple sources. Bachelor’s degree required, background in health informatics, business analysis programming, IT, finance, quantitative techniques, or a related discipline.
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Data visualization tools such as Tableau, Datorama, Alteryx. As a Senior Associate on the Marketing Science team, you will develop actionable insights through quantitative analysis, innovative thinking, and your industry knowledge to be a key contributor towards tactical and strategic efforts.
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Experience with data analytics and visualisation tools (e.g., Alteryx, Tableau, MicroStrategy) Clearly documenting and effectively communicating quantitative methods as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, model validation, technology Position Overview Responsible for independently conducting quantitative analytics and complex modeling projects.
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Solid practical knowledge in statistical programming and data mining tools; including: R, Python, and Alteryx. Experience in quantitative and qualitative research methods applied to learning / training.
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