Data Analyst II

Data Analyst

Required Skills & Experience: Strong SQL experience, including writing complex queries and performing data mining across large datasets. Advanced Google Sheets experience, including Pivot Tables, lookups, data reconciliation, reporting, and data analysis. Python experience for data manipulation, automation, API integrations, and data extraction from multiple systems. Experience building macros and automating reporting workflows - Experience working with large, highly complex datasets across multiple systems. Strong stakeholder management and communication skills.

Nice to Have Skills & Experience: Data Analytics or Data Science background. Experience creating dashboards, reporting packages, and data visualizations for business stakeholders. Exposure to AI technologies or AI-related data environments. Understanding of GPU deployments or large-scale infrastructure operations. Knowledge of data center environments and how they function. Experience presenting findings and recommendations to leadership teams.

Job Description: Insight Global is seeking a Data Analyst to support a leading technology company. The role will be remote in the US working PST for a 12 month contract. This individual will work across multiple internal systems to extract, analyze, and transform large datasets into meaningful business insights. The ideal candidate is highly comfortable working with SQL, Python, and Google Sheets to pull data from backend systems, validate data accuracy, and create reporting for leadership teams.

This role sits at the intersection of engineering, data analytics, and business operations. The analyst will regularly partner with engineers to understand data structures, leverage SQL and APIs to retrieve information, and convert raw data into reports, dashboards, graphs, and visualizations used by stakeholders across the organization.

Success in this role requires someone who can do more than simply pull data. Candidates should be able to identify trends, understand what the data means, and provide actionable insights that support business decision-making. The ideal candidate enjoys solving data problems, working with large and complex datasets, and communicating findings to both technical and non-technical audiences.