This is a remote position.
Junior Data Analyst
- onsite Job, 1+ Year Experience
Annual Income: $57K - $67K
A valid work permit is necessary in the US/Canada
About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.
Role Responsibilities:
- 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
- Work with large data sets, workbooks, and spreadsheets to manipulate and manage program-level information using macros, queries, scripts, etc.
- Gather requirements and lead the 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.
Qualifications:
- Bachelor's Degree in business, business intelligence, data or information management, or similar.
- Proficient in Google Scripts
- Minimum 1 year of data or information management and/or data analysis experience.
- Experience using Microsoft Excel and Google Sheets (macros, imports, query functions).
- Experience with developing in Google App Script is a plus.
- Experience using SQL Developer is a plus.
- Excellent written and verbal communication skills.
- Willing to work in an administratively manual environment while working towards automation of processes in the future.