Data Analyst

Data Analyst (SQL / BigQuery / Shell Scripting) Hybrid Atlanta, GA OR St. Louis, MO | 3–5 Years Experience | Cloud Environment No C2C or sponsorship available We are seeking a technically strong Data Analyst who enjoys digging deep into data, identifying root causes, and translating findings into clear insights for senior stakeholders. This role is highly analytical and hands-on — ideal for someone who is comfortable writing advanced SQL queries, working in Unix/Linux environments, and partnering cross-functionally to solve complex data problems. What You’ll Be Doing • Perform detailed technical data analysis across large datasets • Write advanced SQL (Google BigQuery preferred) to analyze and compare data sources • Use Unix/Linux shell scripting (bash/korn) to support analysis workflows • Conduct root cause analysis based on internal business rules • Document findings and communicate insights to senior leadership • Support internal projects by meeting milestones and deadlines • Identify, coordinate, and resolve data quality issues • Build reports and dashboards (Looker is a plus) What We’re Looking For • 3–5 years of experience in Data Analytics, Business Intelligence, or Statistics • Strong SQL skills (BigQuery preferred) • Experience with Unix/Linux shell scripting (bash, korn) • Python programming experience • Exposure to cloud platforms (GCP, AWS, or Azure) • Strong communication skills — able to explain technical findings clearly • Experience with Jira or similar ticketing systems • Ability to work independently and dig for answers without heavy direction Nice to Have • Google Looker experience • Experience with identity resolution using commercial/business data What Makes This Role Interesting • High visibility with senior leadership • Opportunity to influence decisions through data-driven recommendations • Collaborative, cross-functional environment • Strong technical ownership