Data Analyst

Job highlights Qualifications Patterned Learning AI is hiring a Mid-Level Data Analyst with 0 - 3 years of experience Bachelors Degree in business, business intelligence, data or information management, or similar Proficient in Google Scripts Minimum 2 years of data or information management and/or data analysis experience Minimum 2 years of experience working with data visualization tools (Tableau/Power BI, ideally focused in developing custom dashboards) Experience using Microsoft Excel and Google Sheets (macros, imports, query functions) Excellent written and verbal communication skills Consulting / client management experience recommended Willing to work in an administratively manual environment while working towards automation of processes in the future Clearable (able to pass both a criminal background check and credit check) Responsibilities Based in United States - Remote and with Remote ways of working Work in close collaboration with the Business Intelligence Lead, Federal Data Lead and other Program teams Develop, maintain, and improve BI tools, build and enhance standard operating procedures (SOPs) Manage various data sets and active Google workbooks with adjacent contract teams, monitor and analyze financial health information at the project and program levels Communicate with client leadership to assess data needs and emerging requirements Lead Tableau projects for the BI team - will be responsible for developing new (custom) dashboards, maintaining and enhancing existing tools, and driving the adoption and growth of dashboard-based data consumption throughout the organization Work with large data sets, workbooks and spreadsheets to manipulate and manage program-level information using macros, queries, scripts, etc Gather requirements and lead development of long-term data management tools, processes and solutions based on organizational needs Be comfortable working with collaboration tools such as; Google Suite, Microsoft Office Providing general support to the client including, but not limited to, analysis, data calls, financial management, risk management, audits, and project management related tasks databases