Data Analyst

Position Title: Data Analyst Duration: 6 months, with potential for extensions or conversion Pay rate: $50-60/hour Location: Remote, but located in the Midwest Must-Have Skills: • 4+ years’ experience in an analytical role • Strong Python skills • Strong SQL skills (familiarity with "Common Table Expressions" and "Window Analytic Functions") • Strong Power BI skills (utilizing Power Query, writing DAX formulas, etc.) • Working experience in the Banking or Financial sector • Eager to learn, driven, self-sufficient, and comfortable working independently Nice to Have Skills: • Dataiku experience Role Responsibilities: Insight Global is seeking a Data Analyst to join our large Banking client's organization. The Data Analyst will work within the client's Business Banking Analytics department. This individual will be responsible for consulting on analytical solutions to understand and analyze requirements/goals relative to data and business intelligence needs to drive better business outcomes. They will be dealing with customer, account, and transaction data. The Data Analyst will provide advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. In addition, they will support the development of the strategy and roadmap for data quality, data analytics, reporting, and BI. Additional responsibilities include but would not be limited to: • Leads the design, development, and implementation of analytic solutions. • Recommends and implements solutions based on analysis of issues and implications for the business. • Ensures alignment between stakeholders about business needs and data needs. • Leads/participates in the design, implementation, and management of new analytics & reporting solutions. • Designs and produces regular and ad-hoc reports, and dashboards. • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations. • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions). • Cleanses, manipulates, and transforms data through programming / scripting for model training and validation. • Promotes reporting automation, self-serve analytics consumption, and the culture of analytics-driven decision making. • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting. • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights. • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs. • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders. • Analyzes data and information to provide subject-matter insights and recommendations.