Analytics Solutions [MR-AS-SL-3829]

About the position Responsibilities • Work closely with Centralized Transaction Operations (CTO) business leaders to identify analytics opportunities and execute against them. • Support day-to-day operational reporting and analytics while identifying opportunities to streamline, automate, and enhance information provided to business partners. • Determine data needs/sources, extraction methods, and reporting frameworks across multiple database systems and tools. • Build advanced analytical capabilities using various technologies to improve business decisions and actions within CTO. • Close control gaps, reduce manual controls, automate manual processes, and increase operational efficiency with dashboards. • Leverage data mining, data manipulation, and analytics skills to solve business problems and create opportunities. • Present recommendations to management and business partners, summarizing and visualizing results effectively. • Provide proactive, real-time analytics to enhance customer experience and decision-making capabilities. Requirements • Master's degree in Business Administration, Finance, Business Analytics, Economics, Mathematics, Operations Research, or related field plus 1 year of experience in the job offered or as an Analytics Solutions, Business Analyst, Business Intelligence Analyst, Grad Assistant Researcher, or related occupation. • Alternatively, a Bachelor's degree in the same fields plus 3 years of experience in the job offered or related occupations is acceptable. • Experience collaborating with business partners to understand problem statements and provide technical solutions. • Experience developing scripts, tools, and workflows to automate business processes and reduce manual effort. • Experience performing statistical analysis using techniques including linear and nonlinear regression modeling and forecasting methodologies. • Experience writing complex SQL queries to extract required data from relational databases. • Experience with analytical programming languages and data wrangling tools such as Python, R, SAS, or Alteryx. • Experience designing and developing executive dashboards and delivering insightful visualizations using Tableau. • Knowledge of traditional database design versus Hadoop data architecture. Apply tot his job