Temporary Data Extraction Jobs in Arizona (NOW HIRING)

Job Summary:
JPMorganChase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. The Data Scientist role involves partnering with product groups to assess business drivers, executing analyses to improve business performance, and leveraging large language models to inform data-driven decision-making.
Responsibilities:
• Partner with Product Groups and Lines of Business to assess business drivers and underlying data.
• Collaborate with business owners to formulate quantifiable goals.
• Advise on strategies and analysis to achieve business insight for decisioning and prioritization.
• Execute KPIs, trend analysis, and analyses, including segmentations, optimizations and other techniques to improve business performance.
• Collaborate across functions and lines of business to drive analytics.
• Derive insights and socialization of results.
• Import, clean, transform and validate data from multiple sources in preparation for analytics.
• Assess customer interactions and events across a variety of channels (calls, branch, online, mobile) to understand customer journeys and friction points.
• Review banker engagement data with customer data to help formulate engagement and journey insights.
• Leverage a variety of analytical applications to describe, analyze, and interpret trends and patterns in complex data sets.
• Prepare and deliver presentations summarizing sharp insights and conclusions to executives.
• Partner and collaborate closely with data management teams, strategy teams, and other analytics resources across multiple functional teams.
• Leverage large language models (LLM) and generative AI technologies to efficiently process information, extracting valuable insights and trends to inform data-driven decision-making.
• Utilize statistical methods to effectively sample and identify appropriate cohorts, ensuring representative and reliable data collection for comprehensive analysis.
Qualifications:
Required:
• Master's degree in Business Analytics, Business Administration, Finance, Statistics, Machine Learning, or related field of study plus 1 year of experience in the job offered or as Data Scientist, Quant Analytics, Deputy Manager, or related occupation.
• Alternatively, a Bachelor's degree in Business Analytics, Business Administration, Finance, Statistics, Machine Learning, or related field of study plus 3 years of experience in the job offered or as Data Scientist, Quant Analytics, Deputy Manager, or related occupation.
• Experience with utilizing Business Intelligence tools such as SQL, Python, or Alteryx to explore data, analyze information and formulate into insights, and assess field performance related to client satisfaction and portfolio growth.
• Experience with utilizing at least one programming language to extract data, develop data sets and flows, and optimize queries to produce efficient scripts.
• Experience with defining business KPIs with project partners and establishing analytical test and measurement frameworks through Python or SQL tools.
• Experience with designing approaches and presenting analytical insights to analytic and non-analytic functions to showcase results that answer field related questions with a focus on banker production including client interaction and portfolio growth, and sales including financial services products assisting clients with financial services needs.
• Experience working through the full analytics lifecycle from requirements to execution and delivering results that assist with understanding banker production as well as banker driven financial services product sales.
• Experience managing projects by engaging with and updating project partners, ensuring alignment, incorporating feedback, and providing transparency throughout the project lifecycle, tracking projects efforts through Excel and PowerPoint, and providing regular project updates through email.
• Experience utilizing Excel pivots, VLOOKUP, and aggregation formulas such as 'sum' or 'Count' to assist with insights and reports to be leveraged by stakeholders.
• Experience utilizing PowerPoint add-ons for presentation templates, designs, and data visualizations and preparing materials for outside audiences.
• Experience using Advanced Statistical methods and concepts, such as regression, predictive modeling, time series forecasting, or text mining, including developing datasets that can feed into packages, assessing which analytical concept to execute based on business requests, and testing and validating results.
• Experience using Cloud and Big Data platforms such as Snowflake to access data and the available functionality and to complete tasks and projects by navigating datasets within a data ecosystem, creating temporary tables for processes, and pivoting results by utilizing the platform functionality.
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.