Decision Science Analyst

Immediate need for a talented Decision Science Analyst. This is a 12 Months Contract opportunity with long-term potential and is located in San Antonio, TX (Onsite). Please review the job description below and contact me ASAP if you are interested.Job ID:26-13411Pay Range: $70 - $80/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Leverages expert business, analytical, and technical knowledge to lead discussions with cross-functional teams to understand and collaborate on highly complex business objectives and influence solution strategies. Applies advanced analytical techniques to solve business problems that are typically large-scale with significant impact on current and/or future business strategy. Organizes and oversees the development of requirements/resources necessary to meet established objectives. Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer the business objective and drive the appropriate change. Translates recommendations into communication materials to effectively present to all levels of management. Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences. Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA). Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply. Thoroughly documents assumptions, methodology, validation, and testing to facilitate peer reviews and compliance requirements. Monitors, understands, and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions. Succinctly delivers complex analysis/findings in a manner that conveys understanding, influences senior executives, garners support for recommendations, drives business decisions, and influences business strategy. Provides subject matter expertise in operationalizing recommendations. Researches and pursues the latest and/or industry-leading practices in data and analytics (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge. Identifies opportunities to continue to learn in the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or formal (e.g., Certifications or advanced coursework). Innovates to create new and emerging data sets, and incorporates (data wrangling, data munging) into new insights. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.Key Requirements and Technology Experience: Skills-Portfolio optimization Action-based recommendations using quantitative and qualitative inputs Strategic problem structuring Scenario planning & sensitivity analysis Property valuation methods Lease analysis (NNN, gross, modified gross) Asset allocation analysis Data & statistical analysis and interpretation Forecasting & trend analysis Scenario modeling Data validation & QA Decision science concepts Analytical & insight-driven storytelling Clear recommendation framing Cross-functional collaboration Data visualization best practices Translating analytics into business impact Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or other quantitative discipline is required; OR 4 years of related statistics, mathematics, or quantitative analytics or related experience (in addition to the minimum years of experience required) may be substituted in lieu of a degree. 8 years of experience in a decision support analytic function OR an advanced degree in a relevant discipline, 6 years of experience in a decision support analytic function. Demonstrates expert skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making. Expert knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods, and ability to connect external insights to business problems. Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.Our client is a leading Banking and Financial Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. 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