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 Now
Apply Now
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 Now
Apply Now